Scientist jobs in United Kingdom - Page 3

We are seeking a Senior Data Analyst who goes beyond reporting and designing metrics engineering insights and building proprietary models. If you are passionate about data exploration modeling and social intelligence we would love to hear from you. • You lead performance analysis across social influencer and paid media delivering strategic recommendations, • You oversee social listening competitor benchmarking and market analysis to refine insights, • You apply data science methods and collaborate across teams to develop predictive models and data-driven product narratives, • You analyze social API data and build benchmarks across platforms countries content types and creator tiers to deliver actionable insights and contextual intelligence, • You design and refine the Social Media Value (SMV) metric integrating multiple data sources into one monetary value, • You mentor junior analysts promoting analytical rigor creativity and strategic thinking, • You have 4-6 years of experience as a Data Analyst or hybrid Analyst/Scientist in digital strategy social tech marketing analytics or agency settings, • You possess expert knowledge in social analytics data visualization and forecasting tools like GWI Pulsar and Looker Studio, • You are capable of designing scoring models developing KPIs and generating predictive insights while translating technical results into strategic value for global clients, • You understand social media platform (TikTok Instagram YouTube) dynamics and influencer/creator marketing metrics deeply, • You are skilled at working with unstructured API data turning it into scalable insightful frameworks, • You demonstrate strong leadership and mentorship skills and youre fluent in English any additional language is a plus, • Time to pack your bags for London Milan Paris Hamburg or Berlin: youre welcome to work abroad from any of our international office locations, • We love to see you grow: our careers coach is on hand for one-to-one coaching sessions and team workshops, • We work hard and play hard bringing our global team together to collaborate learn from one another and celebrate our successes, • Dont fancy the office today Our hybrid remote policy lets you work from home two days a week, • Keep your commute to a minimum: youll find all our offices right in the city centre

Join Angstroms dynamic Modelling & Data Engineering team as we revolutionize sports forecasting with cutting-edge analytics and low-latency predictions. Working in the Data Science Team and reporting to the Data Science Manager were looking for a Data Scientist with a sharp statistical mind and strong programming skills to help us solve complex modelling problems develop predictive products and extract insight from rich sports data. If youre passionate about sports stats and building innovative models that impact real-world outcomesthis is your chance. Ready to turn your data skills into game-changing insights What youll do: * Analyse sports data to deliver accurate fast and scalable forecasts * Build and maintain models using Python or R * Collaborate across data science software and engineering teams * Mentor junior team members and contribute to product innovation * Communicate insights clearly through visualisations and reports Qualifications : * 2 years in data science ideally in sports/betting * Expertise in Python or R SQL and statistical modelling * Strong knowledge of ML libraries like scikit-learn xgboost TensorFlow * Experience with data wrangling tools (Pandas dplyr) Git and visualisation * Bonus: knowledge AWS Kafkaor a passion for US sports Additional Information : At Entain we know that signing top players requires a great starting package and plenty of support to inspire peak performance. Join us and a competitive salary is just the beginning. Depending on your role and location you can expect to receive benefits like: • Generous group bonus scheme, • Hybrid working, • Private medical insurance, • Pension Scheme - matched to 6%, • Ability to buy and sell holiday, • Free subscription to wellbeing app Unmind, • Entain & Enhance days Should you need any adjustments or accommodations to the recruitment process at either application or interview please contact us. Remote Work : No Employment Type : Full-time Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Experience: years Vacancy: 1

About HIVED At HIVED were steamrolling forward as one of Europes fastest growing startups and our momentum shows no signs of slowing. Based in London we are a climate and logistics start-up building the first sustainable parcel delivery network at scale powered by a 100% electric an ever-growing industry where unreliable service has long been the norm HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery. A tech company at heart our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers we are constantly working to improve this customer experience that makes us deliver better. Already trusted by leading international brands such as John Lewis Nespresso Uniqlo H&M brands and more we are solidifying our position as the leaders in Europe to tackle this growing market. Our tight-knit team is made up of ex-Revolut Bain HelloFresh ASOS Apple and Google employees and we are backed by some of Europes leading investors and VCs in climate-tech logistics and mobility including Planet A Ventures ___ Our tight-knit team is made up of ex-Revolut Bain HelloFresh ASOS Apple and Google employees and we are backed by some of Europes leading investors and VCs in climate-tech logistics and mobility including Planet A Ventures About HIVED At HIVED were steamrolling forward as one of Europes fastest growing startups and our momentum shows no signs of slowing. Based in London we are a climate and logistics start-up building the first sustainable parcel delivery network at scale powered by a 100% electric an ever-growing industry where unreliable service has long been the norm HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery. A tech company at heart our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers we are constantly working to improve this customer experience that makes us deliver better. Already trusted by leading international brands such as John Lewis Nespresso Uniqlo H&M brands and more we are solidifying our position as the leaders in Europe to tackle this growing market. Our tight-knit team is made up of ex-Revolut Bain HelloFresh ASOS Apple and Google employees and we are backed by some of Europes leading investors and VCs in climate-tech logistics and mobility including Planet A Ventures * * * * * * * * * * * * * * * * * * * * * * * * *

Job Description Our company has a rapidly growing interdisciplinary team of scientists in London and exciting plans to expand our London presence. This will initially be at the Francis Crick Institute as part of our Skylab expansion and from 2027 in our new state of art and fully integrated Research and Discovery Centre at the hub of Londons knowledge Quarter. This new building will be home to approximately 180 scientists alongside other colleagues in discovery research clinical regulatory and business roles including marketing finance and administration. We have an exciting Senior Scientist opportunity for a Biochemist/pharmacologist to join our team at the Francis Crick Institute in London on a 1-year fixed term contract. Working collaboratively with our London discovery teams you will apply your skills in biochemical/biophysical assay development data analysis laboratory automation and detection technologies to advance therapeutic programs across the Immunology and Neuroscience therapy areas. If you are lab-focused scientifically curious and looking to develop your skills wed love for you to be part of our diverse and passionate team. In this role you will: * Design and execute quantitative biochemical and biophysical assays to identify characterize and optimize candidates for therapeutic programs aimed at Immunology/Neuroscience related diseases. * Conduct molecular mechanism of action studies to understand compound efficacy and specificity as well as the downstream impact to biology. * Apply automation to functional assays to deliver impactful data at scale. * Collaborate on new technology initiatives to evaluate implement and build internal capabilities. * Collaborate with our London-based disease area and genome sciences colleagues as needed to identify our next generation of drug targets. * Conceptualize and enact innovative approaches to solve program objectives and issues. * Manage project-specific milestones and timelines. * Interpret data and communicate science and strategy to stakeholders and management. * Take on increasing responsibility within the Quantitative Biosciences group and on project teams as your skills develop. What you will need: * Educated to Ph.D or BSc/MSc level with experience in biotech/pharma; experience in Neuroscience and/or Immunology would be useful but not essential. * Proven ability to independently design implement and interpret complex biochemical/biophysical assays using fluorescence and label-free technologies and associated analytical software solutions. This may include proficiency in techniques such as SPR thermal shift FP TR-FRET and luminescence & absorbance-based techniques. * Practical experience in the characterisation of isolated targets which may include but not be limited to catalytic mechanism determination compound-inhibitor mechanism of action studies and quantitative measurement of the kinetics of drug-target interactions. * An ability to propose new innovative approaches and experimental designs as needed. * Experience with medium to high throughput assay-related data analysis and an appreciation for the related quantitative and statistical concepts. * A flexible and collaborative approach to working across teams projects and departments. * Effective written and oral communication skills. * The ability to adapt to changing priorities with a passion for innovation and problem-solving. We are proud to be a company that embraces the value of bringing diverse talented and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively. We are an equal opportunity employer committed to fostering an inclusive and diverse workplace. The closing date for applications will be 11:59pm on Thursday 14th August. Current Employees apply ___ Current Employees apply Job Description Our company has a rapidly growing interdisciplinary team of scientists in London and exciting plans to expand our London presence. This will initially be at the Francis Crick Institute as part of our Skylab expansion and from 2027 in our new state of art and fully integrated Research and Discovery Centre at the hub of Londons knowledge Quarter. This new building will be home to approximately 180 scientists alongside other colleagues in discovery research clinical regulatory and business roles including marketing finance and administration. We have an exciting Senior Scientist opportunity for a Biochemist/pharmacologist to join our team at the Francis Crick Institute in London on a 1-year fixed term contract. Working collaboratively with our London discovery teams you will apply your skills in biochemical/biophysical assay development data analysis laboratory automation and detection technologies to advance therapeutic programs across the Immunology and Neuroscience therapy areas. If you are lab-focused scientifically curious and looking to develop your skills wed love for you to be part of our diverse and passionate team. In this role you will: * Design and execute quantitative biochemical and biophysical assays to identify characterize and optimize candidates for therapeutic programs aimed at Immunology/Neuroscience related diseases. * Conduct molecular mechanism of action studies to understand compound efficacy and specificity as well as the downstream impact to biology. * Apply automation to functional assays to deliver impactful data at scale. * Collaborate on new technology initiatives to evaluate implement and build internal capabilities. * Collaborate with our London-based disease area and genome sciences colleagues as needed to identify our next generation of drug targets. * Conceptualize and enact innovative approaches to solve program objectives and issues. * Manage project-specific milestones and timelines. * Interpret data and communicate science and strategy to stakeholders and management. * Take on increasing responsibility within the Quantitative Biosciences group and on project teams as your skills develop. What you will need: * Educated to Ph.D or BSc/MSc level with experience in biotech/pharma; experience in Neuroscience and/or Immunology would be useful but not essential. * Proven ability to independently design implement and interpret complex biochemical/biophysical assays using fluorescence and label-free technologies and associated analytical software solutions. This may include proficiency in techniques such as SPR thermal shift FP TR-FRET and luminescence & absorbance-based techniques. * Practical experience in the characterisation of isolated targets which may include but not be limited to catalytic mechanism determination compound-inhibitor mechanism of action studies and quantitative measurement of the kinetics of drug-target interactions. * An ability to propose new innovative approaches and experimental designs as needed. * Experience with medium to high throughput assay-related data analysis and an appreciation for the related quantitative and statistical concepts. * A flexible and collaborative approach to working across teams projects and departments. * Effective written and oral communication skills. * The ability to adapt to changing priorities with a passion for innovation and problem-solving. We are proud to be a company that embraces the value of bringing diverse talented and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively. We are an equal opportunity employer committed to fostering an inclusive and diverse workplace. The closing date for applications will be 11:59pm on Thursday 14th August. Current Employees apply Job Description Our company has a rapidly growing interdisciplinary team of scientists in London and exciting plans to expand our London presence. This will initially be at the Francis Crick Institute as part of our Skylab expansion and from 2027 in our new state of art and fully integrated Research and Discovery Centre at the hub of Londons knowledge Quarter. This new building will be home to approximately 180 scientists alongside other colleagues in discovery research clinical regulatory and business roles including marketing finance and administration. We have an exciting Senior Scientist opportunity for a Biochemist/pharmacologist to join our team at the Francis Crick Institute in London on a 1-year fixed term contract. Working collaboratively with our London discovery teams you will apply your skills in biochemical/biophysical assay development data analysis laboratory automation and detection technologies to advance therapeutic programs across the Immunology and Neuroscience therapy areas. If you are lab-focused scientifically curious and looking to develop your skills wed love for you to be part of our diverse and passionate team. In this role you will: * Design and execute quantitative biochemical and biophysical assays to identify characterize and optimize candidates for therapeutic programs aimed at Immunology/Neuroscience related diseases. * Conduct molecular mechanism of action studies to understand compound efficacy and specificity as well as the downstream impact to biology. * Apply automation to functional assays to deliver impactful data at scale. * Collaborate on new technology initiatives to evaluate implement and build internal capabilities. * Collaborate with our London-based disease area and genome sciences colleagues as needed to identify our next generation of drug targets. * Conceptualize and enact innovative approaches to solve program objectives and issues. * Manage project-specific milestones and timelines. * Interpret data and communicate science and strategy to stakeholders and management. * Take on increasing responsibility within the Quantitative Biosciences group and on project teams as your skills develop. What you will need: * Educated to Ph.D or BSc/MSc level with experience in biotech/pharma; experience in Neuroscience and/or Immunology would be useful but not essential. * Proven ability to independently design implement and interpret complex biochemical/biophysical assays using fluorescence and label-free technologies and associated analytical software solutions. This may include proficiency in techniques such as SPR thermal shift FP TR-FRET and luminescence & absorbance-based techniques. * Practical experience in the characterisation of isolated targets which may include but not be limited to catalytic mechanism determination compound-inhibitor mechanism of action studies and quantitative measurement of the kinetics of drug-target interactions. * An ability to propose new innovative approaches and experimental designs as needed. * Experience with medium to high throughput assay-related data analysis and an appreciation for the related quantitative and statistical concepts. * A flexible and collaborative approach to working across teams projects and departments. * Effective written and oral communication skills. * The ability to adapt to changing priorities with a passion for innovation and problem-solving. We are proud to be a company that embraces the value of bringing diverse talented and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively. We are an equal opportunity employer committed to fostering an inclusive and diverse workplace. The closing date for applications will be 11:59pm on Thursday 14th August. Current Employees apply

Description Signal Ocean is the technology arm of the Signal Group. Our primary product The Signal Ocean Platform helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence our technology suite provides tailored exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows and applying advanced analytics insights are delivered over web and mobile applications as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our clients system topologies. Signal is looking for a Forward Deployed Data Scientist to join our high-growth team. This is not your typical data roleyoull sit at the crossroads of data science sales engineering/technical sales client success and product management working closely with enterprise clients to design prototype and deliver data solutions that quickly generate client value using Signals technologies and datawhile also accelerating adoption driving revenue and feeding insights back into the product for improvement. Client-Centric Data Solutions for fast time-to-value • Collaborate with clients sales and client success teams to uncover pressing real-world data needs and/or friction points early in the commercial process., • Discover prototype validate build deliver and support working data solutions that materialize client value as quickly and as early as possible., • Accumulate experience and knowledge to act as a trusted technical advisor helping clients explore understand learn and find value in Signals unique data assets. Forward Data Science Engineering & Product Innovation • Quickly learn and use Signals products and stack including SDKs (Python C#) APIs (Snowflake) Data Warehouse or other assets, • Learn and become proficient in the clients diverse technical stacks including anything from MS Excel PowerBI SQL Snowflake DataBricks Python and more, • Work closely partnered with Signals product and data science teams and represent them their products standards processes priorities etc., • Gather triage and consolidate product feedback and ideas and contribute inputs and insights into the product management cycle, • Get involved and contribute in data design sprints client metrics early testing and other types of partnership with Signals product and data science teams. API/Data Enablement Assets & Documentation • Shape how Signals data services are marketed discovered learned (internally by Signalers and externally by clients) and utilized, • Develop sales and client success enablement assets so that repeatable processes relevant common examples etc are easy to deliver and digest by all, • Help create a fast and efficient API/data client onboarding playbook, • Maintain improve and extend API/data technical documentation, • Help describe Signals API/Data roadmap and vision to clients Usage Intelligence & Feedback Loops • Track client usage across APIs and data products; uncover whats working and what needs improvement., • Reframe underused assets for higher impact and increased adoption., • Feed real client metrics back into engineering and product roadmaps. Requirements • 5 years in data-heavy roles (e.g. Data Engineer Data Analyst Data Scientist API developer etc.), • You have extensive experience working in client facing roles, • Strong command of Python SQL and API schemasand the ability to explain them clearly., • Deep experience building or deploying data products in commercial settings., • Strong business acumen; you get how data is used not just how its built., • Passion for working directly with clients and solving complex high-value problems., • Comfortable operating across both technical and commercial teams., • Experience in cloud infrastructure software engineering or analytics frameworks a plus., • A curious mindespecially if youre excited to learn about industries like shipping and commodities trading. Benefits • Generous compensation with additional performance incentives., • Coverage under the companys collective health insurance plan., • Opportunity to work alongside experienced people with deep knowledge in software engineering data science & shipping business who are always eager to mentor., • Signals hybrid work policy currently includes 6 working days at premises per month, • 2-4 weeks of onboarding training to prepare you for your new role having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world., • Career growth opportunities and a structured development discussion every 4 months., • Personal learning budget for training seminars conferences (750 to 2000 EUR annually depending on seniority).

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organisations and universities to solve problems. About the Role: We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles quant researcher / data scientist trader and software developer based on your incoming skills and background interest and curiosity and the new skills and industry knowledge that you will learn at Jump. You will start by completing a training program focused on enhancing your knowledge of trading programming and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers traders and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading / Market Mechanics Statistics R Python C Machine Learning and our research process. You will later be coached to successfully apply those skills to build predictive models leveraging one of the largest supercomputers in the world and devise automated trading strategies to test in the markets against world-class competition. May include other duties as assigned or needed. Who should apply We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve an entrepreneurial spirit and strong skills in programming and/or quantitative analysis (statistics data mining mathematics machine learning etc.). No prior knowledge of finance or trading is necessary. Well give you the training that youll need. Reliable and predictable availability required. Although we strongly value training in Computer Science and Mathematics we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering Statistics Physics Neuroscience Materials Science Operations Research and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets we hope youll apply. Benefits include: • Private Medical Vision and Dental Insurance, • Travel Medical Insurance, • Group Pension Scheme, • Group Life Assurance and Income Protection Schemes, • Paid Parental Leave

Media help partners understand the changing advertising landscape. Specialising in audience measurement consumer targeting and in-depth intelligence into paid owned and earned media their global coverage and local expertise enable better understanding of media audiences and their relationships with brands. Kantar Media is a wholly owned but operationally independent part of the Kantar Group. #LI-KantarMedia Job Details As people increasingly move across channels and platforms Kantar Medias data and audience measurement targeting analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries we have the worlds fastest growing cross-media measurement footprint underpinned by versatility scale technology and expertise to drive long-term business growth for our clients and partners. Job Title: Data Scientist Location: London Work pattern: Full time/Permanent/Hybrid working This is a full-time permanent position based in our London office. We operate in a hybrid capacity and require 2 days in the office. All applicants must have the legal right to live and work in the UK. Role Description: Were looking for a data scientist who thrives on solving complex real-world problems using dataand wants to have a meaningful impact on the future of media. This role sits at the heart of cutting-edge audience measurement research where youll help shape how the worlds leading broadcasters advertisers and platforms understand and connect with audiences. Youll work on high- impact initiatives that drive innovation across the media ecosystem including: • Integrating large and diverse datasets from panels census-level sources digital platforms and global partners., • Developing GPU-powered algorithms for high-performance modelling at scale., • Exploring applications of Large Language Models (LLMs) in media and measurement contexts., • Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team youll work closely with engineers product managers and fellow scientists. We value initiative curiosity and real-world impactthis is a great fit for someone who wants to build experiment and push boundaries in applied data science. Key Responsibilities • Design prototype and optimise statistical and ML models for integration into production workflows., • Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases., • Collaborate with cross-functional teams to ensure model deployment is robust scalable and aligned with product goals., • Investigate large datasets to discover trends resolve inconsistencies and support high-quality insights., • Contribute to code reviews design sessions and documentation to maintain best practices in model development., • Take ownership of project areas while working in a collaborative face-to-face and iterative development environment. Skills & Experience • Strong foundation in applied mathematics statistics or machine learning., • Experience building and deploying models in Python (pandas NumPy scikit-learn etc.)., • Comfort working with large and complex datasets including data wrangling and exploratory analysis., • Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch TensorFlow JAX or similar)., • Demonstrated ability to work independently on real-world projects., • Strong communicator with the ability to share ideas take feedback and collaborate effectively., • A masters or PhD in a quantitative field (or equivalent real-world experience in data science or analytics)., • Bonus: experience in at least one of the following areas:, • Working with Marketing Mix Models (MMMs), • Practical applications of Large Language Models (LLMs) or NLP, • Understanding of web technologies and identifiers (e.g. cookies device IDs MAIDs etc.) Our offer At Kantar we have an integrated way of rewarding our people based around a simple clear and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay for performance culture where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious using intelligence passion and creativity to inspire new thinking and shape the world we live in. Apply for a career thats out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool be locally representative drive diversity of thinking and better commercial outcomes. At Kantar the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore we welcome applications from all sections of society and do not discriminate because of age race religion gender pregnancy sexual orientation gender identity disability marital status or any other legally protected characteristics. Privacy and Legal Statement PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (Kantar). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit ___ PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (Kantar). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit Media help partners understand the changing advertising landscape. Specialising in audience measurement consumer targeting and in-depth intelligence into paid owned and earned media their global coverage and local expertise enable better understanding of media audiences and their relationships with brands. Kantar Media is a wholly owned but operationally independent part of the Kantar Group. #LI-KantarMedia Job Details As people increasingly move across channels and platforms Kantar Medias data and audience measurement targeting analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries we have the worlds fastest growing cross-media measurement footprint underpinned by versatility scale technology and expertise to drive long-term business growth for our clients and partners. Job Title: Data Scientist Location: London Work pattern: Full time/Permanent/Hybrid working This is a full-time permanent position based in our London office. We operate in a hybrid capacity and require 2 days in the office. All applicants must have the legal right to live and work in the UK. Role Description: Were looking for a data scientist who thrives on solving complex real-world problems using dataand wants to have a meaningful impact on the future of media. This role sits at the heart of cutting-edge audience measurement research where youll help shape how the worlds leading broadcasters advertisers and platforms understand and connect with audiences. Youll work on high- impact initiatives that drive innovation across the media ecosystem including: • Integrating large and diverse datasets from panels census-level sources digital platforms and global partners., • Developing GPU-powered algorithms for high-performance modelling at scale., • Exploring applications of Large Language Models (LLMs) in media and measurement contexts., • Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team youll work closely with engineers product managers and fellow scientists. We value initiative curiosity and real-world impactthis is a great fit for someone who wants to build experiment and push boundaries in applied data science. Key Responsibilities • Design prototype and optimise statistical and ML models for integration into production workflows., • Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases., • Collaborate with cross-functional teams to ensure model deployment is robust scalable and aligned with product goals., • Investigate large datasets to discover trends resolve inconsistencies and support high-quality insights., • Contribute to code reviews design sessions and documentation to maintain best practices in model development., • Take ownership of project areas while working in a collaborative face-to-face and iterative development environment. Skills & Experience • Strong foundation in applied mathematics statistics or machine learning., • Experience building and deploying models in Python (pandas NumPy scikit-learn etc.)., • Comfort working with large and complex datasets including data wrangling and exploratory analysis., • Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch TensorFlow JAX or similar)., • Demonstrated ability to work independently on real-world projects., • Strong communicator with the ability to share ideas take feedback and collaborate effectively., • A masters or PhD in a quantitative field (or equivalent real-world experience in data science or analytics)., • Bonus: experience in at least one of the following areas:, • Working with Marketing Mix Models (MMMs), • Practical applications of Large Language Models (LLMs) or NLP, • Understanding of web technologies and identifiers (e.g. cookies device IDs MAIDs etc.) Our offer At Kantar we have an integrated way of rewarding our people based around a simple clear and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay for performance culture where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious using intelligence passion and creativity to inspire new thinking and shape the world we live in. Apply for a career thats out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool be locally representative drive diversity of thinking and better commercial outcomes. At Kantar the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore we welcome applications from all sections of society and do not discriminate because of age race religion gender pregnancy sexual orientation gender identity disability marital status or any other legally protected characteristics. Privacy and Legal Statement PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (Kantar). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit Media help partners understand the changing advertising landscape. Specialising in audience measurement consumer targeting and in-depth intelligence into paid owned and earned media their global coverage and local expertise enable better understanding of media audiences and their relationships with brands. Kantar Media is a wholly owned but operationally independent part of the Kantar Group. #LI-KantarMedia Job Details As people increasingly move across channels and platforms Kantar Medias data and audience measurement targeting analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries we have the worlds fastest growing cross-media measurement footprint underpinned by versatility scale technology and expertise to drive long-term business growth for our clients and partners. Job Title: Data Scientist Location: London Work pattern: Full time/Permanent/Hybrid working This is a full-time permanent position based in our London office. We operate in a hybrid capacity and require 2 days in the office. All applicants must have the legal right to live and work in the UK. Role Description: Were looking for a data scientist who thrives on solving complex real-world problems using dataand wants to have a meaningful impact on the future of media. This role sits at the heart of cutting-edge audience measurement research where youll help shape how the worlds leading broadcasters advertisers and platforms understand and connect with audiences. Youll work on high- impact initiatives that drive innovation across the media ecosystem including: • Integrating large and diverse datasets from panels census-level sources digital platforms and global partners., • Developing GPU-powered algorithms for high-performance modelling at scale., • Exploring applications of Large Language Models (LLMs) in media and measurement contexts., • Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team youll work closely with engineers product managers and fellow scientists. We value initiative curiosity and real-world impactthis is a great fit for someone who wants to build experiment and push boundaries in applied data science. Key Responsibilities • Design prototype and optimise statistical and ML models for integration into production workflows., • Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases., • Collaborate with cross-functional teams to ensure model deployment is robust scalable and aligned with product goals., • Investigate large datasets to discover trends resolve inconsistencies and support high-quality insights., • Contribute to code reviews design sessions and documentation to maintain best practices in model development., • Take ownership of project areas while working in a collaborative face-to-face and iterative development environment. Skills & Experience • Strong foundation in applied mathematics statistics or machine learning., • Experience building and deploying models in Python (pandas NumPy scikit-learn etc.)., • Comfort working with large and complex datasets including data wrangling and exploratory analysis., • Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch TensorFlow JAX or similar)., • Demonstrated ability to work independently on real-world projects., • Strong communicator with the ability to share ideas take feedback and collaborate effectively., • A masters or PhD in a quantitative field (or equivalent real-world experience in data science or analytics)., • Bonus: experience in at least one of the following areas:, • Working with Marketing Mix Models (MMMs), • Practical applications of Large Language Models (LLMs) or NLP, • Understanding of web technologies and identifiers (e.g. cookies device IDs MAIDs etc.) Our offer At Kantar we have an integrated way of rewarding our people based around a simple clear and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay for performance culture where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious using intelligence passion and creativity to inspire new thinking and shape the world we live in. Apply for a career thats out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool be locally representative drive diversity of thinking and better commercial outcomes. At Kantar the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore we welcome applications from all sections of society and do not discriminate because of age race religion gender pregnancy sexual orientation gender identity disability marital status or any other legally protected characteristics. Privacy and Legal Statement PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (Kantar). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit

At ___ At * * * * * * * * * * At * * * * * * * * * *

Financial Services • Build game-changing forecasting models., • Take the lead in developing complex financial risk models from the ground up., • Hybrid role in London - minimum three days in the office per week. If you’re the kind of data scientist who doesn’t just tweak models but creates them from the ground up, this is your chance to make a real impact. We’re looking for a commercially minded Senior Risk Modeller with a strong data science background to join a forward-thinking team shaping critical financial forecasts. In this role, you’ll take ownership of sophisticated models that help make major business decisions - from residual value forecasting to insurance pricing and economic capital. What you’ll be doing: It’s a role for someone who thrives on building and enhancing models from scratch, who can bridge the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and have a direct hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You’ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business… sound like you? Apply now! What experience you’ll need to apply: • Solid track record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch, • Proficiency with statistical tools and programming languages such as R, Python, or SAS, • Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders, • Strong problem-solving skills, able to design creative and commercially strong modelling solutions, • Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions, • A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline., • Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines, • Desirable: industry experience in sectors such as finance, automotive or similar, and exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return: A salary of up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll be working in the London office, a minimum three days per week and the rest remote. What’s next? Apply with your updated CV, and we’ll review your application as soon as possible to arrange a conversation. For any questions, just drop Tegan an email.

About Salient Bio: Salient Bio is a cutting-edge diagnostic and wellness testing company committed to delivering world-class health testing to all. Our expertise lies in applying metagenomics, automation, and machine learning technologies to deliver high throughput testing capabilities across a range of products. We are an international team who learn from each other and work collaboratively to achieve our goals. We have exciting plans for growth and are looking for an enthusiastic and skilled NGS laboratory scientist to join the microbiome diagnostics team. You will be the core of the NGS laboratory team, responsible for progressing all microbiome testing samples through the sequencing workflow, including overseeing our technicians' work. We continuously develop our laboratory capabilities, and you will also be responsible for development and refinement of state-of-the-art sequencing protocols. You will play a vital role in the management and administration of the sequencing laboratory, planning to ensure our processes run reliably and safely. Your role is central to our company's plans and our ambition to become the leading microbiome lab in the UK; we will support your personal development and ensure your role grows to match challenge and grow your capabilities. The role: • Contribute to microbiome projects by using lllumina sequencing technologies to generate metagenomic and genomic data from a variety of sample types., • Build and manage a technical team and ensure the smooth running of laboratory facilities., • Investigate, develop & onboard newly implemented and/or standard sequencing workflows and experimental techniques., • Ensure all equipment is operational by arranging service contracts, repairs and carrying out monitoring and regular maintenance of equipment., • Carry out pre and post run QC interpretation and troubleshoot sequencing library preparation and sequencing runs., • Collaborate with our bioinformatic and automation experts in the R&D team to help design novel sample analysis approaches., • Support the training of technical and non-expert colleagues in NGS technologies., • Contribute to the development of other microbiome diagnostic products with the rest of the R&D team. Must have: • Minimum of 5 years lab experience in the fields of genomics, genetics, or similar. This can be from a PhD in a relevant subject or equivalent industry experience with significant expertise in NGS., • Hands-on experience in microbiome sequencing., • Experience in lab management, from inventory to people and everything in between., • Delivery of results and implementation of new ideas with excellent troubleshooting skills., • Ability to perform a wide range of molecular biology techniques such as nucleic acid isolation, multiplex PCR and RT-PCR., • Excellent communication skills to interpretation and reporting of NGS data., • Excellent organisational and time management skills, with demonstrated ability to prioritise, define timelines, multitask, and deliver to these commitments., • Motivation and ambition to make a personal contribution to research., • Good attention to detail and record keeping, in keeping with our UKAS accreditation standard., • Demonstration of inclusivity and respect for all. Nice to have: • Experience with high-throughput automated sequencing workflows from sample input to data quality control., • Experience with training non-specialists and equipping junior colleagues with knowledge they need to do their day-to-day job., • Technical experience running multiple sequencing platforms and technologies such as lllumina NextSeq/ Oxford Nanopore/ PacBio., • Experience of using NGS in clinical diagnostics., • Experience maintaining and troubleshooting lllumina sequencing runs., • Well versed in performing and reporting the standard QCs in NGS workflows. How you enjoy working: • Enjoy the practical nature of wet lab work., • Self-motivated with a strong desire to make an impact and bring a positive attitude to everything you do., • Enjoy tight deadlines and collaborating to get the job done., • Quick learner who enjoys discussing ideas and putting them into action., • You use your initiative to develop new ideas of your own., • Comfortable working in a small team within a start-up environment., • You are an inclusive team player who enjoys working with people from diverse backgrounds., • Seek out constructive criticism and know you are not your work., • You want work to be meaningful and to be part of a business dedicated to having a positive impact., • You help your team seek out highly valuable work, prioritise it effectively, and create clarity for those around you., • You organise and manage your time effectively, balancing competing priorities based on business goals and the focus of your wider team, to deliver to timelines where others are relying on you. Benefits: Aside from being part of our brilliant, purpose-driven team, you will also enjoy: • A competitive salary, • Company options programme, • Health insurance, • Pension scheme, • Flexible working arrangements: Our core hours are 10am-4pm, and you can choose a pattern that works for you, • Company socials, • Cycle to work scheme, • Easy access to on-site gym and climbing wall

ANALYTICS MANAGER £65,000 + 10% BONUS HYBRID – LONDON (3 DAYS A WEEK) Please note: this company is unable to offer sponsorship for this role. You must be based in the UK and have the right to work. THE COMPANY This global live entertainment business operates nearly 50 iconic venues across the UK, US, and Europe — from historic West End theatres to Broadway and Berlin. With a huge customer base and millions of ticket sales annually, they’re building out a high-impact analytics function to drive smarter marketing, better customer experiences, and stronger business outcomes. The culture is grown-up, fast-moving, and collaborative. You’ll be joining a team that’s expanding rapidly to meet global demand, with direct exposure to decision-makers and meaningful scope to shape the analytics strategy in the UK. THE ROLE This is a key leadership role in the UK analytics function, managing three direct reports across data science, BI and analysis. While you won’t be deep in the code every day, you'll be deeply embedded in both the business and the data — prioritising workstreams, guiding delivery, and supporting the team as they scale. You’ll partner closely with marketing, CRM and performance teams, translating business needs into clear data projects and helping shape how marketing impact is measured globally. You’ll also collaborate with the US analytics team and newly appointed Head of Analytics to align strategy across regions; with your focus squarely on the UK. Projects will centre around email and app marketing, with a big focus on MMM, recommender systems, and customer modelling. MMM will be the priority for the next 12 months. DAY TO DAY • Lead UK analytics team (BI Developer, Data Analyst, Data Scientist), • Oversee team priorities, coaching, and delivery standards, • Translate business questions into technical project scopes, • Champion analytics best practices across teams, • Support marketing teams with data-driven decision-making, • Collaborate with global analytics leads on shared initiatives, • Oversee and contribute to marketing measurement projects, • Focus areas: MMM, recommender systems, lift testing, propensity modelling, • Rough split: ~75% leadership / 25% strategic hands-on guidance SKILLS + EXPERIENCE Must haves: • Strong background in marketing or performance analytics, • Experience leading or managing analytics teams, • Stakeholder management and communication skills, • Familiarity with MMM, customer modelling, and related techniques, • SQL, Python or R proficiency Nice to have: • Experience in live entertainment, ticketing, or consumer-focused businesses, • Familiarity with CDPs or marketing automation platforms, • Passion for theatre, live events, or the arts

Job Title: Materials Scientist – for Sustainable Formulations & Process Development Location: London, UK Materials Scientist - Project-based Role for Sustainable Formulations & Process Development Join Biophilica and Be Part of Shaping the Future of Sustainable Materials Are you a materials scientist passionate about sustainability, innovation, and cutting-edge materials development? Biophilica, a pioneering and award-winning materials science startup, is seeking a highly driven and organized commercial R&D scientist to join our team in London. If you have expertise in green chemistry, plastics, biopolymers, coatings, and surface chemistry — particularly with plastics, polysaccharides and plant-derived polymers — we want to hear from you. This is your opportunity to contribute to the development and scaling of our award-winning plant-based materials with unique environmental benefits. Why Biophilica? We are a recognized startup on a mission to bring our truly sustainable leather alternative — Treekind® — to the mass market. Our team thrives on results and progress, efficiency in an agile environment. Our achievements include: • Launched material with ID Geneve Watches in 2023, • Pilot programme with 4 brands within the Fashion For Good network, • Project with beauty brand for packaging, • Demo-line and scale-up trials, • Cartier Women’s Initiative 2024: 1st Place Europe, • PDS Ventures’ and Global Fashion Agenda’s Trailblazer 2024: Finalist, • Women in Innovation 2022, • Manufacturing Futures 2021, • Mills Fabrica Techstyle for Social Good 2021, • Drapers Sustainable Fashion Awards 2021 (Finalist), • Microfibre Innovation Challenge 2022 (Finalist), • UKBAA Angel Investments Awards Finalist 2022 (Finalist), • LVMH Startup Accelerator, • Fashion For Good accelerator followed by the FFG pilot program About the Project-based Role We are seeking a Masters or PhD-qualified Materials Scientist with 4 years of commercial experience in plastics and/or biopolymers. This role is perfect for a highly motivated, entrepreneurial scientist who thrives in a fast-paced startup environment. You will develop formulations for product applications, processes and technologies, to rapidly scale our materials, ensuring they meet market quality and cost demands. Key Responsibilities: • Novel materials design and development using green chemistry principles, • Formulation development, support process engineering and optimisation, • Implement quality control testing protocols, • Analyse and report on standard chemical and mechanical testing, • Collaborate closely with industrial research partners and external vendors, • Manage projects efficiently to deliver on time or ahead of schedule, • Occasionally travel within the UK/EU What We’re Looking For • Masters or PhD (or postdoctoral experience) ideally in Materials Science or Chemistry. Closely related fields will also be considered., • Strong commercial research experience in plastics, plant-derived biopolymers and/or green chemistry, including polysaccharides., • Experience in startup environments and a clear understanding of what drives startup success, • Knowledge of surface characterisation techniques and mechanical property analysis and processing of polymers, • Experience working with engineers focused on process design, manufacturing scale-up, and commercial production, • You are pragmatic, thrive on challenges and making the most of existing resources, • Excellent time-management, organisational, and project management skills, • Strong communication skills to collaborate with internal and external stakeholders within and outside of your area, • Ability to work successfully, delivering results both independently and within a team What We Offer • A one year contract based on a newly awarded project, • Competitive salary, • Occasional travel for off-site visits within the UK and internationally, • A collaborative, agile, and innovative work environment, • The opportunity to shape the future of sustainable materials, • A role in a team making a real environmental impact How to Apply To apply, please send your cover letter, CV, compensation expectations, and contact information for three professional references to . Equal Opportunity Employer Biophilica is committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of gender, race, ethnicity, religion, disability, sexual orientation, or veteran status. Join us in revolutionising sustainable materials

Job description About the Role We are looking for a technically exceptional Senior or Principal AI Scientist to oversee the development and implementation of artificial intelligence strategies within MMR for real-time image-guided medical interventions. This is a senior-level role focused on hands-on development, technical architecture, and solving complex problems in clinical settings. You will architect and implement end-to-end AI pipelines, extract insights from clinical multimodal data, and work with a team of data scientists, machine learning engineers, and analysts to define how artificial intelligence enhances robotic systems to improve patient outcomes in real-time applications. Key Responsibilities: • Lead the development and deployment of deep learning and computer vision models for medical use., • Design, implement, and optimize data processing pipelines across structured and unstructured healthcare datasets, including real-time imaging., • Translate clinical needs into ML/AI solutions, working closely with cross-disciplinary teams including clinicians, mechanical engineers, software engineers, and regulatory experts., • Architect and deliver AI systems that meet performance, safety, and regulatory standards for real-world use., • Mentor junior engineers and scientists, promoting best practices in software architecture, model reproducibility, and data pipeline automation., • Define and execute the AI/ML/data roadmap: data governance, cloud-based MLOps, model validation, scalability, and deployment strategy., • Ensure data security, privacy, and compliance in all aspects of model development and deployment., • Integrate with data scientists to scale machine learning pipelines and infrastructure for deployment across environments., • Deliver end-to-end solutions, from problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re Looking For: • Degree in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Computational Biology, or a related field (Ph.D. preferred)., • Minimum of 10+ years (Ph.D.), 13+ years (M.S.), or 15+ years (B.S.) of relevant industry experience in pharma, medtech, or healthcare AI applications., • Deep technical knowledge in machine learning, deep learning, and computer vision, especially for real-time applications, • Proficiency in Python and C++, • Proven experience with large-scale datasets, particularly healthcare and clinical imaging data., • Strong understanding of AI/ML platforms, libraries, and best practices (e.g., PyTorch, TensorFlow, OpenCV)., • Proficiency with databases (SQL/NoSQL), data versioning, and source control (Git/GitHub)., • Demonstrated ability to build, deploy, and maintain ML/AI pipelines, with working knowledge of MLOps, model serving, and CI/CD for AI., • Familiarity with healthcare data standards (e.g., DICOM, HL7, NIfTI) and data privacy regulations (HIPAA, GDPR)., • Track record of delivering ML/AI solutions in clinical or highly regulated environments, ideally for surgical robotics, imaging, or medical devices., • Sophisticated communication skills — ability to explain technical solutions clearly to both technical and clinical stakeholders., • Strong knowledge of cloud infrastructure and services (e.g., AWS S3, EC2, SageMaker). Preferred Experience: • Experience with real-time imaging, video data, and 3D reconstruction, • Familiarity with commercially available healthcare datasets, external data licensing challenges, data collection and labelling challenges., • Prior experience in regulated healthcare environments (e.g., FDA, CE mark, ISO standards). Must-have Qualities: • Technical leadership in AI/ML with deep domain knowledge and problem-solving mindset., • Hands-on developer and systems thinker., • Proven ability to translate real clinical needs into scalable AI systems., • Ethical mindset, understanding the stakes of clinical AI deployment., • Strong emphasis on data quality, security, reproducibility, and model governance., • Ability to collaborate effectively across multi-disciplinary teams (engineering, clinical, regulatory)., • Exceptional communication and mentoring skills to foster team growth and innovation. What we offer: • Join an international and interdisciplinary team based in the Netherlands (Zwolle) and Central London fostering a collaborative and innovative work culture., • Contribute to a rapidly growing medical device startup with ambitious global impact goals, making a significant difference in healthcare., • A central London office with a well-equipped prototyping space. Access continuous learning and professional development through training programs, workshops, and conferences., • Thrive in an inclusive and diverse workplace that values and supports every team member., • An attractive salary package, competitive with industry standards.

Role: Junior Data Scientist Location: London, UK (Hybrid) Salary: £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: • Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions., • Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes., • Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company., • Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals., • Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements: • Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields., • Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling., • Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting., • Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively., • Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's A Bonus If You Have: • Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus., • Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance., • Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: • Growth opportunities: Be part of a fast-growing company with ample opportunities for career advancement., • Innovative work environment: Work with a team that values creativity, collaboration, and continuous learning., • Cutting-edge tools and technologies: Access to the latest data science tools to help you excel in your role., • Competitive compensation: A salary that reflects your skills and experience, along with performance-based bonuses. If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.

Data Scientist – AI/ML Contract | Remote (UK-based) Inside IR35 SR2 is supporting a high-profile programme seeking experienced Data Scientists with strong AI/ML expertise to design, develop, and deploy advanced models into production. You’ll join an established delivery team working on impactful, data-led projects with real-world outcomes. What you’ll be doing: • Design, build, and optimise AI/ML solutions for complex business problems, • Collaborate with fellow data scientists to develop and productionise models, • Troubleshoot, debug, and refine model code, • Partner with cross-functional teams to translate business needs into data-driven solutions Essential skills: • Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering, • SQL – querying structured datasets, • Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models, • ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines), • Git – version control for reproducible workflows, • Time-Series Analysis – spotting risk trends over time, • EDA – identifying early risk signals and clusters Desirable skills: • Rank aggregation/ensemble methods (e.g. Robust Rank Fusion), • Model explainability tools (SHAP, LIME), • Model monitoring & drift detection, • Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience.

Data Science Manager (This role may also be called Analytics Manager or Marketing Sciences Manager in other research businesses) Location: London (Hybrid, 2 days per week in office) Salary: Up to £65k plus bonus and benefits Type: Full-time, Permanent Are you an experienced data scientist looking to step into a role with real impact and visibility? We're hiring a Data Science Manager to join a growing analytics team delivering insights across public policy, consumer behaviour & brand strategy. The role is working in a growing market research and consultancy group. This position blends technical depth with consulting and communication skills. It’s ideal for someone who enjoys solving complex problems, leading projects and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: • Leading end-to-end data science projects, primarily using survey data, • Translating business questions into analytical solutions with practical impact, • Mentoring junior analysts and supporting team learning and development, • Presenting findings to clients and internal stakeholders in a clear and engaging way, • Exploring new approaches, including machine learning and AI, • Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: • At least 3 to 5 years of experience in data science, with a strong focus on survey data, • Professional-level proficiency in Python or R, • Strong understanding of statistical and machine learning methods such as clustering and regression, • Hands-on experience with segmentation and preferably conjoint analysis, • Ability to communicate complex methods and results in plain English, • Experience leading projects and building relationships internally and externally, • A collaborative, proactive approach to solving problems Nice to have: • Experience or interest in public sector, policy, or current affairs, • Exposure to AI or automation tools and approaches, • Familiarity with text analytics, CRM data, forecasting, or behavioural modelling, • Understanding of marketing science methods such as TURF or key driver analysis, • Background in a relevant subject such as data science, economics, psychology, or engineering, with a quantitative element This role involves much more than just writing code. You’ll be working directly with clients and internal teams, helping shape methodologies, advise on strategy, and bringing insight to life. It’s a fast-paced, varied environment perfect for someone who thrives on both technical work and being client facing. The team and culture: • Hybrid working setup with two office days per week (Thursdays are team days), • Seven-person data science team with diverse academic and industry backgrounds, • Strong focus on innovation and continuous learning, with six hours per week set aside for personal development, • Collaborative culture with visibility and input across the wider business Apply below

The Clinical Scientist supports the design, execution, and analysis of clinical trials that are part of AIRNA’s RNA editing platform. Working closely with Clinical Development, Clinical Operations, and external clinical trial site staff, the clinical scientist will ensure scientific integrity and

Data Scientist - Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000.

This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world legal and compliance challenges, whether it’s extracting structured data from contracts, building predictive models for compliance risk, or uncovering patterns in complex

Use machine learning tools to select features, create, and optimize classifiers. We’re Hiring: Data Scientist / Machine Learning Engineer. Data Scientist / Machine Learning Engineer.

Experience with Databricks and using it for scalable data processing and machine learning workflows. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. Experience workin

The successful candidate will bring laboratory experience and expertise in discovery of biologics and will join an established team of Drug Discovery scientists to progress hits into drug candidates. This is a unique opportunity for a high calibre and driven lab scientist with entrepreneurial mindse

Company Description Depop is the community-powered circular fashion marketplace where anyone can buy sell and discover desirable secondhand fashion. With a community of over 35 million users Depop is on a mission to make fashion circular redefining fashion consumption. Founded in 2011 the company is headquartered in London with offices in New York and Manchester and in 2021 became a wholly-owned subsidiary of out more at ___ * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Company Description Depop is the community-powered circular fashion marketplace where anyone can buy sell and discover desirable secondhand fashion. With a community of over 35 million users Depop is on a mission to make fashion circular redefining fashion consumption. Founded in 2011 the company is headquartered in London with offices in New York and Manchester and in 2021 became a wholly-owned subsidiary of out more at * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *

We are looking for an experienced and motivated scientist to join our computational physics team which is essential for designing molecules in our pipeline by supporting active drug discovery projects. Excellent communicator and passionate about creating a collaborative work environment.

We are currently seeking a Band 6 Biomedical Scientist specialising in Haematology to join our clients team in London. Biomedical Scientist in Haematology. Degree in Biomedical Science or equivalent.

This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP deep learning Gen AI and LLMs to drive business value for multiple stakeholders while conducting cutting-edge

Description Our Future Health will be the UKs largest ever health research programme bringing people together to develop new ways to detect prevent and treat diseases. Diseases like cancer dementia diabetes and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research to improve our understanding and spot the patterns of how and why common diseases start so treatments can begin sooner and be more effective. We are looking for a Lead Clinical Scientist to join us in a new highly influential role. You will be the Scientific expert within an agile cross functional team enabling Recontact studies - a key part of Our Future Healths mission to accelerate translational research. Collaborating with Product Ethics Behavioural Scientists Software & Data Engineers you will develop the processes and tools needed to deliver recontact capabilities for both observational and interventional studies and clinical trials in compliance with the relevant ethical and regulatory frameworks and Clinical Good Practice. Your duties will include : • Study proposal review: Establish and lead a process for scientific evaluation of recontact study proposalssubmitted by researchers to evaluate feasibility novelty scope and scientific utility., • Researcher consultation: Engage consult and advise researchers to support development of recontact study designs that are feasible deliver the highest scientific value andadhere to GCP, • Study design and delivery: Provide scientific support in delivery of recontact studies including cohort selectiondevelopment of study materials review of protocols participant invitations and PPIE activities., • Recontact study capabilities: Provide scientific input into prioritisation and product decisions in development of recontact capabilities and features based on researcher needs study types and GCP and regulatory requirements., • Strategy: Work together with Product and Commercial teams to define and deliver on a long-term strategy for developing a comprehensive recontact offering that facilitates a broad range of epidemiological translational and clinical research maximizing the value Our Future Health offers to both researchers and participants, • Governance: Contribute to annual and quarterly planning and reviewing of work with a focus on prioritisation interdependencies risks and risk mitigations., • Compliance: Demonstrate support of organisational compliance requirements including policies procedures and controls., • Outreach: Attend meetings and conferences as a representative for Our Future Health. Requirements • PhD (or equivalent experience) in epidemiology clinical or molecular sciences biostatistics genetics or closely related discipline., • You enjoy the changing environment of a small growing organisation and have experience designing observational studies or clinical trials., • Deep knowledge of participant selection and invitation methodologies including study protocols data linkage informed consent and participant burden considerations., • Hands-on experience in analysis of large complex molecular and epidemiological datasets (e.g. identifying sub-cohorts by genetic demographic or EHR criteria)., • Experience of critical scientific peer-review (e.g. article peer-review grant panels editorial boards or institutional review of study proposals)., • Experience working as part of cross-functional teams with product managers software engineers and data teams in an agile environment. Lets prevent disease together. At Our Future Health we recognise the importance of having a diverse workforce and ensuring that all candidates regardless of their background have equitable access to our application process. We proactively encourage applicants who identify as having a disability neurodiversity or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments please email us at Benefits • Salary from 75000., • Generous Pension Scheme We invest in your future with employer contributions of up to 12%., • 30 Days Holiday pro rata Bank Holidays Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you., • Enhanced Parental Leave Supporting you during lifes biggest moments., • Cycle to Work Scheme Save 25-39% on a new bike and accessories through salary sacrifice., • Home & Tech Savings Get up to 8% off on IKEA and Currys products spreading the cost over 12 months through salary sacrifice, • 1000 Employee Referral Bonus Know someone amazing Get rewarded for bringing them on board!, • Wellbeing Support Access to Mental Health First Aiders plus 24/7 online GP services and an Employee Assistance Programme for you and your family.

Characterisation Method Development/Optimisation Process Analytics Formulation QC or R&D) within a biopharma / biotech lab / research lab university sandwich/placement year considered for the Research Associate Role. Research Scientist / Associate Analytical Development. As we develop our Acco

StackOne is the universal integration layer for modern SaaS products. Weve raised $24m in 2 years and were backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native white label integrations in days not months by abstracting away dozens of disparate third party APIs into a single normalized interface. On top of those APIs we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant multi-tenant and invisible to end users powering integrations for future-of-work SaaS categories such as HR Compliance and AI Agents. Our customers are established B2B SaaS companies that: * Sell to mid market and enterprise buyers * Are building AI Agents in the near future * Need deep native integrations to win competitive deals and power their product * Value time to integration over building connectors in house We typically close OEM and embedded licensing deals multi-year (1 to 3 year) contracts five to seven figure TCV with a strong land and expand model. Key buyer personas are the CPO and CTO. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT Anthropic and others). In this role you will conduct research and development around AI focusing on automating processes and development at StackOne. Were building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. Were convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve. * Research design and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions. * Managing and updating Data pipelines used for AI use-cases * Collaborate with cross-functional teams to identify opportunities for AI integration and automation * Optimize and refine existing AI models and applications for performance and scalability * Stay current with advancements in AI and LLM technologies applying new knowledge to StackOnes AI strategy * Implement best practices in AI development ensuring compliance with data privacy and security regulations * Document and communicate research findings and development progress to stakeholders * Collaborate with other software & AI engineer(s) to deliver larger scale projects * Bachelors degree in Computer Science Engineering or a related field (or 3 years of relevant experience) * Familiarity with API development integration and SaaS platforms * Past experience with AI specifically Large Language Models and related technologies * Excellent problem-solving and analytical skills * Strong communication and collaboration abilities * Desire to work in a fast-paced dynamic startup environment Preferable: * Youre familiar with Typescript * Youve deployed or managed infrastructure on AWS You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes: * Infra & monitoring: AWS (ECS RDS Elasticache Lambda etc.) Tinybird Modal Dagster Langsmith Datadog Sentry ___ Infra & monitoring: AWS (ECS RDS Elasticache Lambda etc.) Tinybird Modal Dagster Langsmith Datadog Sentry * * * * * * * * * * * * * * * * StackOne is the universal integration layer for modern SaaS products. Weve raised $24m in 2 years and were backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native white label integrations in days not months by abstracting away dozens of disparate third party APIs into a single normalized interface. On top of those APIs we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant multi-tenant and invisible to end users powering integrations for future-of-work SaaS categories such as HR Compliance and AI Agents. Our customers are established B2B SaaS companies that: * Sell to mid market and enterprise buyers * Are building AI Agents in the near future * Need deep native integrations to win competitive deals and power their product * Value time to integration over building connectors in house We typically close OEM and embedded licensing deals multi-year (1 to 3 year) contracts five to seven figure TCV with a strong land and expand model. Key buyer personas are the CPO and CTO. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT Anthropic and others). In this role you will conduct research and development around AI focusing on automating processes and development at StackOne. Were building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. Were convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve. * Research design and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions. * Managing and updating Data pipelines used for AI use-cases * Collaborate with cross-functional teams to identify opportunities for AI integration and automation * Optimize and refine existing AI models and applications for performance and scalability * Stay current with advancements in AI and LLM technologies applying new knowledge to StackOnes AI strategy * Implement best practices in AI development ensuring compliance with data privacy and security regulations * Document and communicate research findings and development progress to stakeholders * Collaborate with other software & AI engineer(s) to deliver larger scale projects * Bachelors degree in Computer Science Engineering or a related field (or 3 years of relevant experience) * Familiarity with API development integration and SaaS platforms * Past experience with AI specifically Large Language Models and related technologies * Excellent problem-solving and analytical skills * Strong communication and collaboration abilities * Desire to work in a fast-paced dynamic startup environment Preferable: * Youre familiar with Typescript * Youve deployed or managed infrastructure on AWS You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes: * Infra & monitoring: AWS (ECS RDS Elasticache Lambda etc.) Tinybird Modal Dagster Langsmith Datadog Sentry * * * * * * * * * * * * * * * *

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About Patient Centered Solutions team IQVIA provides scientific services spanning clinical trials real world evidence and consulting in all areas of the product lifecycle. The Patient Centered Solutions (PCS) team leads the industry in generating data to ensure that the patient voice is incorporated into the development and commercialization of medication and other drug/non-drug interventions. We focus on understanding and meeting the needs of our clients mostly life science/pharmaceutical companies through the application of broad consulting expertise and scientific knowledge to design rigorous research. This research includes qualitative (e.g. interviews focus groups) quantitative (e.g. clinical outcome assessments (COAs)/patient-reported outcomes (PROS) preference research) and passive (e.g. digital health technology tools) approaches to understand patient caregiver and healthcare professional experiences and expectations of disease and treatment. We are also one of the largest owners and developers of new COAs which we license to pharmaceutical sponsors research organizations and universities for clinical research. We seek to set a new bar for well-designed COA measures with automated scoring services and benchmark datasets to aid interpretation. About role We are looking for a qualitative research scientist with experience developing Clinical Outcome Assessment (COA) measures to lead primarily internal instrument development projects. While this will be your principal responsibility you will also contribute to client project work designing conducting analyzing reporting and disseminating qualitative research activities. You may also help to build a small but growing unit of scientists in our PCS Qualitative Research Center of Excellence responsible for driving quality and consistency and for advancing the science of qualitative this context you will have opportunities to lead business development training governance and thought leadership workstreams in a rapidly expanding organization. You will work with a diverse team of multifaceted experts in a global collaborative work environment that is rich in development and growth. Joining our team assures you of a rewarding and progressive career in supporting patient-focused qualitative research. Responsibilities * Lead application of primary and secondary research methods (literature review concept elicitation concept mapping item generation cognitive debriefing linguistic validation) to the development of novel COA measures which may be IQVIA-owned or partnered with another party such as a license holder or patient organization or for a pharmaceutical sponsor * Design conduct analyze report and disseminate qualitative research activity that meets the standards of Patient Focused Drug Development and industry best practice * Oversee the work of qualitative researchers moderators and coders within the project team for each instrument development project * Assist Qualitative Research Center of Excellence leader to build and manage the team which may include one or more of the following: * Lead one or more initiatives related to business development training governance or thought leadership; own selected SOPS Work Instructions and templates used in qualitative research * Assess moderator candidates for approval/qualification to support PCS projects * Contribute to design and delivery of training programs to enhance qualitative research proficiency of PCS staff * Field ad hoc scientific and operational queries from PCS and other IQVIA staff related to qualitative research processes * Assist Quality Assurance as necessary to respond to audits or CAPAs related to qualitative research projects Qualifications * Masters or doctoral degree; relevant fields may include outcomes research psychology sociology medical anthropology or market research but open to others * At least 8 years of experience developing COA instruments and delivering qualitative research * Have been an author on at least two qualitative research publications or conference platform presentations * Familiar with FDA and/or EMA guidance on patient-focused drug development particularly related to COA development * Experience designing and delivering survey and mixed methods research also desirable * Demonstrable analytical interpretative and problem-solving skills with the ability to learn quickly adapt and apply new knowledge * Strong capability in juggling priorities so that deadlines are met while retaining consistently high-quality outcomes * Well-developed written and verbal communication skill in business English; may include presentations workshop facilitation business and report writing; additional languages an advantage * Ability to manage and collaborate with individuals at all levels within the organization and build relationships while working remotely Physical capability * Extensive use of telephone and video and face-to-face communication requiring accurate perception of speech. * Extensive use of keyboard requiring repetitive motion of fingers. * Regular sitting for extended periods of time. * Travel as required. If you are interested in joining us please submit your application in English and make sure to clearly outline your background in COA development and qualitative research. IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at ___ IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at About Patient Centered Solutions team IQVIA provides scientific services spanning clinical trials real world evidence and consulting in all areas of the product lifecycle. The Patient Centered Solutions (PCS) team leads the industry in generating data to ensure that the patient voice is incorporated into the development and commercialization of medication and other drug/non-drug interventions. We focus on understanding and meeting the needs of our clients mostly life science/pharmaceutical companies through the application of broad consulting expertise and scientific knowledge to design rigorous research. This research includes qualitative (e.g. interviews focus groups) quantitative (e.g. clinical outcome assessments (COAs)/patient-reported outcomes (PROS) preference research) and passive (e.g. digital health technology tools) approaches to understand patient caregiver and healthcare professional experiences and expectations of disease and treatment. We are also one of the largest owners and developers of new COAs which we license to pharmaceutical sponsors research organizations and universities for clinical research. We seek to set a new bar for well-designed COA measures with automated scoring services and benchmark datasets to aid interpretation. About role We are looking for a qualitative research scientist with experience developing Clinical Outcome Assessment (COA) measures to lead primarily internal instrument development projects. While this will be your principal responsibility you will also contribute to client project work designing conducting analyzing reporting and disseminating qualitative research activities. You may also help to build a small but growing unit of scientists in our PCS Qualitative Research Center of Excellence responsible for driving quality and consistency and for advancing the science of qualitative this context you will have opportunities to lead business development training governance and thought leadership workstreams in a rapidly expanding organization. You will work with a diverse team of multifaceted experts in a global collaborative work environment that is rich in development and growth. Joining our team assures you of a rewarding and progressive career in supporting patient-focused qualitative research. Responsibilities * Lead application of primary and secondary research methods (literature review concept elicitation concept mapping item generation cognitive debriefing linguistic validation) to the development of novel COA measures which may be IQVIA-owned or partnered with another party such as a license holder or patient organization or for a pharmaceutical sponsor * Design conduct analyze report and disseminate qualitative research activity that meets the standards of Patient Focused Drug Development and industry best practice * Oversee the work of qualitative researchers moderators and coders within the project team for each instrument development project * Assist Qualitative Research Center of Excellence leader to build and manage the team which may include one or more of the following: * Lead one or more initiatives related to business development training governance or thought leadership; own selected SOPS Work Instructions and templates used in qualitative research * Assess moderator candidates for approval/qualification to support PCS projects * Contribute to design and delivery of training programs to enhance qualitative research proficiency of PCS staff * Field ad hoc scientific and operational queries from PCS and other IQVIA staff related to qualitative research processes * Assist Quality Assurance as necessary to respond to audits or CAPAs related to qualitative research projects Qualifications * Masters or doctoral degree; relevant fields may include outcomes research psychology sociology medical anthropology or market research but open to others * At least 8 years of experience developing COA instruments and delivering qualitative research * Have been an author on at least two qualitative research publications or conference platform presentations * Familiar with FDA and/or EMA guidance on patient-focused drug development particularly related to COA development * Experience designing and delivering survey and mixed methods research also desirable * Demonstrable analytical interpretative and problem-solving skills with the ability to learn quickly adapt and apply new knowledge * Strong capability in juggling priorities so that deadlines are met while retaining consistently high-quality outcomes * Well-developed written and verbal communication skill in business English; may include presentations workshop facilitation business and report writing; additional languages an advantage * Ability to manage and collaborate with individuals at all levels within the organization and build relationships while working remotely Physical capability * Extensive use of telephone and video and face-to-face communication requiring accurate perception of speech. * Extensive use of keyboard requiring repetitive motion of fingers. * Regular sitting for extended periods of time. * Travel as required. If you are interested in joining us please submit your application in English and make sure to clearly outline your background in COA development and qualitative research. IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organisations and universities to solve problems. About the Role: The quant research & trading internship is an intensive 10-week program focused on enhancing your quantitative and programming skills as well as letting you experience what its like to be a full-time quant trader at Jump. At Jump our people can contribute to trading teams in the following roles or a blend of all three: quantitative researcher / data scientist algorithmic trader and software developer so our internship program is designed train you in a variety of areas. Topics include Machine Learning trading / market mechanics C statistics and our research process for signal generation. Applying lessons from training you will first work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then youll have the opportunity to rotate and work with several trading teams. During each rotation youll work on a project with the trading team while being mentored by experienced quant researchers traders and developers. Other duties as assigned or needed. Who Should Apply We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve an entrepreneurial spirit and strong skills in programming and/or quantitative analysis (statistics data mining mathematics machine learning etc.). No prior knowledge of finance or trading is necessary. Well give you the training that youll need. Reliable and predictable availability required. Although we strongly value training in Computer Science and Mathematics we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering Statistics Physics Neuroscience Materials Science Operations Research and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets we hope youll apply. Required Experience: Intern Key Skills Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic Employment Type : Intern Experience: years Vacancy: 1

Job Title: Senior Data Scientist JOB BAND: D CONTRACT TYPE: Permanent Full-time DEPARTMENT: BBC Product Group Authoring & Curation Content Creation AI LOCATION: London / Newcastle / Salford / Glasgow Hybrid SALARY RANGE: 57000 - 67000 depending on relevant skills knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Were happy to discuss flexible working. If youd like to please indicate your preference in the application though theres no obligation to do so now. Flexible working will be part of the discussion at offer stage. At the BBC Data Science is fundamental on our journey towards being a digital-first platform creating personalised content and products that bring the right content to the right people at the right time. As a Senior Data Scientist in the Content Creation AI team within Authoring & Curation you will be working with journalists and editors to improve workflows enabling them to better produce describe and curate content that serves the needs of our audience. By joining the Content Creation AI team you will be joining a growing cross-functional team. Youll work with engineers user researchers and a product manager to identify and prioritise user needs in authoring and curation workflows building and testing proof of concepts and then deploying solutions for integration with user-facing tools. • The role of Senior Data Scientist at the BBC is hands-on: youll use your technical skills to deliver value to internal stakeholders within authoring and curation. We are looking for individuals who value both breadth and depth of knowledge., • Senior Data Scientists at the BBC are expected to have impact within their immediate team and across the wider BBC. Working with engineers youll be instrumental in developing and supporting AI products at scale., • You will become a key contributor within a fully cross-functional team providing evidence to the product manager for project prioritisation exploring proof of concepts and testing them with journalists and editorial stakeholders., • Youll collaborate closely with user researchers in initial discovery phases to identify opportunities for where data science can be used exploiting your knowledge of different AI approaches., • Youll have the opportunity to get involved with the wider data science community both at the BBC and externally. Sharing your knowledge especially with the other disciplines in the team is vital and we love to see enthusiasm about sharing your knowledge and growing others. ESSENTIAL CRITERIA • Strong understanding of data science and machine learning techniques including best practices recent advances and their applications for implementation in a production environment., • Knowledge of working with cloud services and the main challenges involved., • Demonstrable understanding of how to evaluate algorithms and a proven track record of delivering value in production., • Good general coding skills particularly in Python (including code management and deployment)., • Collaboration: an ability to contribute effectively in a cross-functional team clearly communicate with technical and non-technical audiences and listen to others ideas and build on them. DESIRED: • Experience and understanding of LLMs; and an awareness of how to integrate them into data science products is also beneficial., • Experience in putting models into production including the use of model registries CI/CD pipelines and software engineering best practices. An awareness of production considerations when evaluating which model to put into production., • Experience of monitoring models in production., • Experience of working in an Agile framework. If you can bring some of these skills and experience along with transferable strengths we would love to hear from you and encourage you to apply. Required Experience: Senior IC Key Skills Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 57000 - 67000

Were looking for a Lead Data Scientist (Senior Individual Contributor) to join our growing Growth & Strategic Finance Team in London. This role is a unique opportunity to work behind the scenes of company transactions understand how we grow and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on ___ This role is a unique opportunity to work behind the scenes of company transactions understand how we grow and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on * * * * * * * * * * * * * * * * * * Were looking for a Lead Data Scientist (Senior Individual Contributor) to join our growing Growth & Strategic Finance Team in London. This role is a unique opportunity to work behind the scenes of company transactions understand how we grow and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on * * * * * * * * * * * * * * * * * *

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics. Chase International Consumer Lending Analytics Team is the center of excellence for strategic and data analytics for International Consumer Retail and SME lend

The services that GeMS currently compromises are: molecular biology micromanipulation surgical expertise cryopreservation of rodent and aquatics germplasms assisted Reproductive techniques such as IVF AI ICSI Rederivation of live and frozen imports & exports to and from the Crick and murine stem

The AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world. Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop and test risk mitigations. We focus on risks with security implications including the potential of AI to assist with the development of chemical and biological weapons how it can be used to carry out cyber-attacks enable crimes such as fraud and the possibility of loss of control. The risks from AI are not sci-fi they are urgent. By combining the agility of a tech start-up with the expertise and mission-driven focus of government were building a unique and innovative organisation to prevent AIs harms from impeding its potential. London UK About the AI Security Institute The AI Security Institute (AISI) launched at the 2023 Bletchley Park AI Safety Summit is the worlds first state-backed organisation dedicated to advancing AI security for the public interest. Our mission is to assess and mitigate risks from frontier AI systems including cyber attacks on critical infrastructure AI-enhanced chemical and biological threats large-scale societal disruptions and potential loss of control over increasingly powerful just one year weve assembled one of the largest and most respected research teams featuring renowned scientists and senior researchers from leading AI labs such as Anthropic DeepMind and OpenAI. At AISI were building the premier institution for impacting both technical AI safety and AI governance. We conduct cutting-edge research develop novel evaluation tools and provide crucial insights to governments companies and international partners. By joining us youll collaborate with the brightest minds in the field directly shape global AI policies and tackle complex challenges at the forefront of technology and ethics. Whether youre a researcher engineer or policy expert at AISI youre not just advancing your career youre positioned to have significant impact in the age of artificial intelligence. ABOUT AISIs CHEM-BIO WORKSTREAM You will be part of the Chem-Bio (CB) Team in AISIs Research Unit a multidisciplinary team comprised of several technical workstreams and a strategy and delivery function (which serves as an impact-multiplier for our technical outputs). The CB teams technical work plan is overseen by the CB Workstream Lead who will also serve as the line manager for this role. Our teams mission is to advance the security science of advanced AI models including LLMs and more specialized AI models within biology and chemistry and to equip policymakers with an empirical understanding of security-relevant AI capabilities specifically at the intersection of AI with biology and chemistry. We work closely across AISI HMG and with external experts to make sure our research has real-world impacts on AI safety and chemical and biological security through policy recommendations. You will lead technical work on thresholds ecosystem engagement and conceptual research on mitigations. This may involve defining what AI capabilities would indicate increased risks leading on research to understand how the academic/industry ecosystem uses different AI tools or considering what content would be appropriate for an LLM to refuse. Given the sensitivity of our work we will need someone who either holds or is able to attain Developed Vetting (DV) and any continued employment will be conditional on earning and maintaining this level of clearance. More detail on Security Clearances can be found on the UK Government website. ROLE SUMMARY As a Research Scientist your key duties will span three pillars: Thresholds Ecosystem Engagement and Mitigations. Mitigations • Leading the critical evaluation of frontier AI developers capability and safeguard assessments and policies, • Drive forward high-impact collaborations between AISIs Chem-Bio team and AISIs Safeguards teams with a focus on risk mitigation projects (i.e. developing an evaluation to assess biological and chemical classifiers robustness), • Lead the teams work on defining key risk/capabilities thresholds and strategies for operationalising these, • Oversee external collaborations between AISIs Chem-Bio team and frontier AI developers, • Maintain awareness of cutting-edge research across academia and industry on frontier AI models science agents and risk mitigation strategies We strongly encourage you to apply even if you feel you only meet some of the criteria listed here. Essential Criteria • Background in biological/chemical science or machine learning, • A strong track record of research or professional experience in biosecurity or AI governance, • Knowledge of prominent approaches for mitigating risks from frontier AI systems., • Strong strategic sense for driving real-world impact., • Strong knowledge of chemical/biological models and their unique safety considerations., • Background or strong working level knowledge on microbiology or virology., • Experience with forecasting or survey research., • A strong network in the AI-chem/bio and biosecurity communities., • Excellent written and verbal communication skills., • Experience in engaging with a diverse set of technical and non-technical stakeholders. If you have questions about the role AISIs Chem-Bio Workstream Lead (Sophie Rose; ___ If you have questions about the role AISIs Chem-Bio Workstream Lead (Sophie Rose; The AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world. Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop and test risk mitigations. We focus on risks with security implications including the potential of AI to assist with the development of chemical and biological weapons how it can be used to carry out cyber-attacks enable crimes such as fraud and the possibility of loss of control. The risks from AI are not sci-fi they are urgent. By combining the agility of a tech start-up with the expertise and mission-driven focus of government were building a unique and innovative organisation to prevent AIs harms from impeding its potential. London UK About the AI Security Institute The AI Security Institute (AISI) launched at the 2023 Bletchley Park AI Safety Summit is the worlds first state-backed organisation dedicated to advancing AI security for the public interest. Our mission is to assess and mitigate risks from frontier AI systems including cyber attacks on critical infrastructure AI-enhanced chemical and biological threats large-scale societal disruptions and potential loss of control over increasingly powerful just one year weve assembled one of the largest and most respected research teams featuring renowned scientists and senior researchers from leading AI labs such as Anthropic DeepMind and OpenAI. At AISI were building the premier institution for impacting both technical AI safety and AI governance. We conduct cutting-edge research develop novel evaluation tools and provide crucial insights to governments companies and international partners. By joining us youll collaborate with the brightest minds in the field directly shape global AI policies and tackle complex challenges at the forefront of technology and ethics. Whether youre a researcher engineer or policy expert at AISI youre not just advancing your career youre positioned to have significant impact in the age of artificial intelligence. ABOUT AISIs CHEM-BIO WORKSTREAM You will be part of the Chem-Bio (CB) Team in AISIs Research Unit a multidisciplinary team comprised of several technical workstreams and a strategy and delivery function (which serves as an impact-multiplier for our technical outputs). The CB teams technical work plan is overseen by the CB Workstream Lead who will also serve as the line manager for this role. Our teams mission is to advance the security science of advanced AI models including LLMs and more specialized AI models within biology and chemistry and to equip policymakers with an empirical understanding of security-relevant AI capabilities specifically at the intersection of AI with biology and chemistry. We work closely across AISI HMG and with external experts to make sure our research has real-world impacts on AI safety and chemical and biological security through policy recommendations. You will lead technical work on thresholds ecosystem engagement and conceptual research on mitigations. This may involve defining what AI capabilities would indicate increased risks leading on research to understand how the academic/industry ecosystem uses different AI tools or considering what content would be appropriate for an LLM to refuse. Given the sensitivity of our work we will need someone who either holds or is able to attain Developed Vetting (DV) and any continued employment will be conditional on earning and maintaining this level of clearance. More detail on Security Clearances can be found on the UK Government website. ROLE SUMMARY As a Research Scientist your key duties will span three pillars: Thresholds Ecosystem Engagement and Mitigations. Mitigations • Leading the critical evaluation of frontier AI developers capability and safeguard assessments and policies, • Drive forward high-impact collaborations between AISIs Chem-Bio team and AISIs Safeguards teams with a focus on risk mitigation projects (i.e. developing an evaluation to assess biological and chemical classifiers robustness), • Lead the teams work on defining key risk/capabilities thresholds and strategies for operationalising these, • Oversee external collaborations between AISIs Chem-Bio team and frontier AI developers, • Maintain awareness of cutting-edge research across academia and industry on frontier AI models science agents and risk mitigation strategies We strongly encourage you to apply even if you feel you only meet some of the criteria listed here. Essential Criteria • Background in biological/chemical science or machine learning, • A strong track record of research or professional experience in biosecurity or AI governance, • Knowledge of prominent approaches for mitigating risks from frontier AI systems., • Strong strategic sense for driving real-world impact., • Strong knowledge of chemical/biological models and their unique safety considerations., • Background or strong working level knowledge on microbiology or virology., • Experience with forecasting or survey research., • A strong network in the AI-chem/bio and biosecurity communities., • Excellent written and verbal communication skills., • Experience in engaging with a diverse set of technical and non-technical stakeholders. If you have questions about the role AISIs Chem-Bio Workstream Lead (Sophie Rose; * * * * *

The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists engineers architects and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer youll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. Were looking for Engineers and Architects capable of using generative AI and other ML techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems. AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities • Collaborate with ML scientist and engineers to Research design and develop cutting-edge generative AI algorithms to address real-world challenges, • Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership, • Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI, • Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform, • Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder, • Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and fine-tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying. Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud. Inclusive Team Culture Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness. Mentorship and Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Several years of non-internship professional software development experience, • Several years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience, • Experience coding in Python R Matlab Java or other modern programming language, • Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production including batch and real-time data processing model containerization CI/CD pipelines API development model training and productionizing ML models, • Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch TensorFlow, • Masters or PhD degree in computer science or related technical math or scientific field, • Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models, • Experiences related to AWS services such as SageMaker EMR S3 DynamoDB and EC2 hands-on experience of building ML solutions on AWS, • Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (______The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists engineers architects and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer youll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. Were looking for Engineers and Architects capable of using generative AI and other ML techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems. AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities • Collaborate with ML scientist and engineers to Research design and develop cutting-edge generative AI algorithms to address real-world challenges, • Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership, • Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI, • Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform, • Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder, • Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and fine-tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying. Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud. Inclusive Team Culture Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness. Mentorship and Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Several years of non-internship professional software development experience, • Several years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience, • Experience coding in Python R Matlab Java or other modern programming language, • Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production including batch and real-time data processing model containerization CI/CD pipelines API development model training and productionizing ML models, • Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch TensorFlow, • Masters or PhD degree in computer science or related technical math or scientific field, • Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models, • Experiences related to AWS services such as SageMaker EMR S3 DynamoDB and EC2 hands-on experience of building ML solutions on AWS, • Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists engineers architects and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer youll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. Were looking for Engineers and Architects capable of using generative AI and other ML techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems. AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities • Collaborate with ML scientist and engineers to Research design and develop cutting-edge generative AI algorithms to address real-world challenges, • Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership, • Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI, • Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform, • Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder, • Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and fine-tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying. Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud. Inclusive Team Culture Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness. Mentorship and Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Several years of non-internship professional software development experience, • Several years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience, • Experience coding in Python R Matlab Java or other modern programming language, • Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production including batch and real-time data processing model containerization CI/CD pipelines API development model training and productionizing ML models, • Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch TensorFlow, • Masters or PhD degree in computer science or related technical math or scientific field, • Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models, • Experiences related to AWS services such as SageMaker EMR S3 DynamoDB and EC2 hands-on experience of building ML solutions on AWS, • Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (

Guy Carpenter Guy Carpenter is seeking a dynamic and hands-on leader in the UK to enhance refine and innovate our data strategy for our international reinsurance brokerage businesses. This role will focus on advancing the regional adoption of our global data lake enhancing analytics in claims and contracts and integrating semi-structured brokerage information. Our goal is to empower our clients markets and colleagues with cutting-edge data technology tools that set us apart in the industry. The datasets and products will require regional specialisation across various lines of business including property casualty aviation and marine addressing critical events such as wildfires hurricanes floods cyberattacks and terrorism. This position is targeted towards our international businesses headquartered in London covering regions such as the UK Latin America Asia Pacific Continental Europe the Middle East and Africa. The role will be based in London and operates in a hybrid model requiring at least three days a week in the office. We will count on you to: * Advise and empower embedded data technologists to better serve their businesses. * Drive product adoption support and enhancement for existing data products. * Survey broking analytics & service colleagues on data needs and opportunities. * Cultivate strong relationships with leaders where the impact of data technology is a priority. * Calibrate and articulate the data roadmap to a broader stakeholder base. * Maintain a data skillset roster and regularly perform resource gap analysis. * Demonstrate agility and a relentless focus on delivering value navigating the landscape of available resources (personnel technologies data etc.) What you need to have: * Experience in traditional data technology roles such as data engineer data scientist analytics engineer backend engineer or data product manager within a data-driven organisation. Strong experience with standard data tools such as Python dbt SQL APIs and Spark. * Proven experience in a lead role such as a senior solutions engineer client-facing senior data consultant or start-up CTO with a successful track record in delivering data products. * Strong experience in data analytics EDA data architecture and schema design. * Experience building complex dashboards using tools such as Power BI Tableau etc. What makes you stand out * Expert with the Databricks platform or analogs (Snowflake or Palantir) * Experience with Python-based webapp frameworks (FastAPI Django etc.) and/or low-code data webapp frameworks (Streamlit Plotly Dash RStudio etc.) * Knowledge of the insurance industry or interest and ability to learn it quickly. Why join our team: * We help you be your best through professional development opportunities interesting work and supportive leaders. * We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues clients and communities. * Our scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background civil partnership status disability ethnic origin family duties gender orientation or expression gender reassignment marital status nationality parental status personal or social status political affiliation race religion and beliefs sex/gender sexual orientation or expression skin color or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments please contact us at Marsh McLennan is committed to hybrid work which includes the flexibility of working remotely and the collaboration connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Required Experience: Intern Key Skills Marketing,Data Visualization,Tableau,Customer Segmentation,Microsoft Powerpoint,Investment Banking,Strategic Planning,Financial Modeling,Customer relationship management,Management Consulting,Google Suite,Analytics Employment Type : Full-Time Experience: years Vacancy: 1

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin the most advanced customer service AI agent on the market lets businesses deliver always-on impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30000 global businesses Intercom is setting the new standard for customer service. Driven by our core values we push boundaries build with speed and intensity and consistently deliver incredible value to our customers. Intercoms Machine Learning team is responsible for defining new ML features researching appropriate algorithms and technologies and rapidly getting first prototypes in our customers hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our teams dedicated ML product engineers enable us to move to production fast often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. * Play an active role in hiring mentoring and career development of other engineers * Raise the bar for technical standards performance reliability and operational excellence * Identify areas where ML can create value for our customers * Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders * Conduct exploratory data analysis and research - Deeply understand the problem area * Research and identify the right algorithms and tools - Being pragmatic but innovating right to the cutting-edge when needed * Perform offline evaluation to gather evidence an algorithm will work * Work with engineers to bring prototypes to production * Plan measure & socialize learnings to inform iteration * Partner deeply with the rest of team and others to build excellent ML products * 5-8 years applied ML experience * Previous background in a senior/staff role (data science software development or academic) * Significant demonstrated impact that your work has had on the product and/or the teams * Strong programming skills * Experience as the primary technical leader for a team * Strong communication skills both within engineering teams and across disciplines. * Comfort with ambiguity * Typically have advanced education in ML or related field (e.g. MSc) * Scientific thinking skills * Track record shipping ML products * PhD or other experience in a research environment * Deep experience in an applicable ML area - E.g. NLP Deep learning Bayesian methods Reinforcement learning clustering * Strong stats or math background * Visualization data skills SQL matplotlib etc. We are a well treated bunch with awesome benefits! If theres something important to you thats not on this list talk to us! :) * Competitive salary and equity in a fast-growing start-up * We serve lunch every weekday plus a variety of snack foods and a fully stocked kitchen * Regular compensation reviews - we reward great work! * Peace of mind with life assurance as well as comprehensive health and dental insurance for you and your dependents * Open vacation policy and flexible holidays so you can take time off when you need it * Paid maternity leave as well as 6 weeks paternity leave for fathers to let you spend valuable time with your loved ones * If youre cycling weve got you covered on the Cycle-to-Work Scheme. With secure bike storage too * MacBooks are our standard but were happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. Were committed to an inclusive and diverse Intercom! We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race. Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our ___ We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin the most advanced customer service AI agent on the market lets businesses deliver always-on impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30000 global businesses Intercom is setting the new standard for customer service. Driven by our core values we push boundaries build with speed and intensity and consistently deliver incredible value to our customers. Intercoms Machine Learning team is responsible for defining new ML features researching appropriate algorithms and technologies and rapidly getting first prototypes in our customers hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our teams dedicated ML product engineers enable us to move to production fast often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. * Play an active role in hiring mentoring and career development of other engineers * Raise the bar for technical standards performance reliability and operational excellence * Identify areas where ML can create value for our customers * Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders * Conduct exploratory data analysis and research - Deeply understand the problem area * Research and identify the right algorithms and tools - Being pragmatic but innovating right to the cutting-edge when needed * Perform offline evaluation to gather evidence an algorithm will work * Work with engineers to bring prototypes to production * Plan measure & socialize learnings to inform iteration * Partner deeply with the rest of team and others to build excellent ML products * 5-8 years applied ML experience * Previous background in a senior/staff role (data science software development or academic) * Significant demonstrated impact that your work has had on the product and/or the teams * Strong programming skills * Experience as the primary technical leader for a team * Strong communication skills both within engineering teams and across disciplines. * Comfort with ambiguity * Typically have advanced education in ML or related field (e.g. MSc) * Scientific thinking skills * Track record shipping ML products * PhD or other experience in a research environment * Deep experience in an applicable ML area - E.g. NLP Deep learning Bayesian methods Reinforcement learning clustering * Strong stats or math background * Visualization data skills SQL matplotlib etc. We are a well treated bunch with awesome benefits! If theres something important to you thats not on this list talk to us! :) * Competitive salary and equity in a fast-growing start-up * We serve lunch every weekday plus a variety of snack foods and a fully stocked kitchen * Regular compensation reviews - we reward great work! * Peace of mind with life assurance as well as comprehensive health and dental insurance for you and your dependents * Open vacation policy and flexible holidays so you can take time off when you need it * Paid maternity leave as well as 6 weeks paternity leave for fathers to let you spend valuable time with your loved ones * If youre cycling weve got you covered on the Cycle-to-Work Scheme. With secure bike storage too * MacBooks are our standard but were happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. Were committed to an inclusive and diverse Intercom! We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race. Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our

We are seeking a Genomic Data Scientist to join our Bioinformatics Consulting team to work on a range of genome analysis and interpretation projects with an emphasis in rare or complex disease in collaboration with and on behalf of our external researchers and industrial partners.

Weve built a unique culture and work environment where ambitious long-term research can flourish and be translated into societal benefits. Weve made high-profile breakthroughs for medium-range weather forecasting (e.g. GraphCast GenCast) and are now extending this work into the 2-week to 3-month (subseasonal) range. We are seeking a Research Scientist to help drive this exciting research. Our mission is to create the worlds most trustworthy and useful weather forecasts for the benefit of humanity. Research is central to our mission but we also ensure that our research can be turned into tangible impact that benefits humanity. Our interdisciplinary team combines the best techniques from machine learning statistics and meteorology to build the science for the best weather forecasting systems. Our approach encourages collaboration across all groups within the research team cultivating ambitious creativity and innovative research. Research Scientists are encouraged to lead or support a research agenda that produces practical technological advances in weather forecasting. The expectation is that research scientists will conduct novel research according to ambitious long-term agendas while maintaining a strong focus on methods and tools offering practical benefits in the short term as a form of pragmatic grounding. Central to this process is the idea that rapid iteration and refinement of solutions for real-world use cases provides a strong basis for better understanding the frontiers of research in this fast-paced field. * Contribute (and lead) the ideation and development of new data-driven approaches to (sub)seasonal weather forecasting advised by the current state of research. * Partner with research engineers to develop ambitious prototypes and design and implement evaluation protocols around these prototypes. * Identify roadblocks and research challenges by empirically or theoretically studying the failures and limitations of existing methods. * Develop novel technical or methodological solutions to overcome these obstacles and limitations. * Help identify within Googles broad portfolio of research projects methods which could be adapted or tried against our evaluations as well as teams and individuals with which the team could partner to overcome challenges whilst providing grounding and evaluation for that collaborators research agenda. * Digest and understand complex research papers theory and practice. * Own report and present (verbally and in writing) research developments and experimental results to both the immediate and broader research teams as well as externally. * Promote scientific excellence through mentoring and reviewing. Our team is especially focused on: * Machine learning (ML) for weather modelling and forecasting. * Graph neural networks diffusion models. * Scalable Bayesian inference. * Climate and sustainability-related research. * A variety of complex problems to work on with the opportunity to learn constantly through experimentation. * Access to a team of leading researchers engineers and problem solvers to learn from with the opportunity to contribute your own thinking and specialist knowledge to our mission. * Constant learning training and development opportunitiesfrom technical courses to improving presentation skillsto help you design a career that works best for you. * Access to leading technology ever-evolving tech stacks and Google-scale systems to allow your work to flourish. * An opportunity to make contributions to addressing societal challenges. In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience: * PhD degree in a relevant field. * Proven knowledge of ML and/or statistics e.g. deep learning. * Proven experience working on weather forecasting in either an industry or a research lab setting. * Strong knowledge and experience of Python. * Working knowledge of Jax TensorFlow or similar frameworks. * Experience with research and publishing e.g. authored papers. In addition the following would be an advantage: * Experience with simulators partial differential equations and/or numerical methods. * Experience with modelling of other environmental systems (e.g. oceans sea ice). * Experience in ML for the physical sciences and/or sustainability. * Experience with large-scale and/or distributed computing. Closing date: Wednesday 20th August at 5:00pm BST At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know. Key Skills Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C/C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology Employment Type : Temp Experience: years Vacancy: 1

Why PlayStation PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus acclaimed PlayStation software titles from PlayStation Studios and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation technology and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment a wholly-owned subsidiary of Sony Group Corporation. Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful customer-centric decisions through seamless integration of data. Currently there are over 100 people in the global DSAE team including data science data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products insight predictive analytics and data visualisation. Were seeking an experienced and collaborative Staff Data Scientist to join our CLV & Next Best Action / Personalisation team which builds models that help PlayStation understand and influence the value growth and engagement of our global player base. By connecting player behaviours to long-term outcomes our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStations Next Best Action and Personalisation strategies. Youll help shape how PlayStation invests in retains and delights its players - and advance our use of modern machine learning at global scale. This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players. • Design and deliver models that quantify player value engagement and growth shaping strategies across the player lifecycle., • Apply advanced ML and deep learning approaches (e.g. transformers embeddings sequence models) to capture player behaviours and monetisation patterns., • Partner with senior stakeholders in commercial finance and lifecycle teams to define roadmaps and ensure CLV and Next Best Action modelling advises high-impact decisions., • Translate sophisticated ambiguous business needs into modelling strategies that guide engagement and growth., • Work with engineering partners to ensure solutions are robust scalable and production-ready., • Mentor colleagues and influence best practices fostering technical growth and knowledge sharing across the team., • Proven experience building predictive models for customer value engagement retention or monetisation., • Expertise in modern ML and deep learning techniques including transformers embeddings and sequence models for behavioural or transactional data., • Ability to work with large-scale complex datasets to generate actionable insights and scalable models., • Proficiency in Python PySpark and SQL with fluency in common ML libraries and experience building robust modelling pipelines., • A track record of shaping modelling strategies and ensuring solutions are impactful scalable and production-ready., • Excellent communication skills with the ability to explain concepts persuasively to senior business leaders., • A collaborative empowering approach with experience mentoring colleagues and contributing to team-wide innovation., • A strong academic background (typically a Masters or PhD in a technical or quantitative field) or equivalent professional experience., • Experience with workflow orchestration tools (e.g. Airflow) feature stores or visualisation platforms (e.g. Tableau Domo)., • Proven experience in gaming e-commerce or subscription-based business models., • Experience deploying ML models in production environments and working with MLOps tools., • A personal interest in gaming and entertainment., • Discretionary bonus opportunity, • Hybrid Working (within Flexmodes), • Private Medical Insurance, • Dental Scheme, • 25 days holiday per year, • On Site Gym, • Subsidised Caf, • Free soft drinks, • On site bar, • Access to cycle garage and showers Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity gender expression and gender reassignment) race (including colour nationality ethnic or national origin) religion or belief marital or civil partnership status disability age sexual orientation pregnancy maternity or parental status trade union membership or membership in any other legally protected category. We strive to create an inclusive environment empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Required Experience: Staff IC Key Skills Laboratory Experience,Bioinformatics,Biochemistry,Utility Locating,Assays,Research Experience,Next Generation Sequencing,Sensors,Signal Processing,Matlab,Research & Development,Molecular Biology Employment Type : Full-Time Experience: years Vacancy: 1

Leadership: Outstanding leadership skills with experience in mentoring coaching and developing teams of analysts or data scientists. Principal Product Data Scientist I Viator. As a Principal Product Data Scientist you will operate as the most senior technical leader in the Product Data Science funct

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organisations and universities to solve problems. About the Role: The quant research & trading internship is an intensive 10-week program focused on enhancing your quantitative and programming skills as well as letting you experience what its like to be a full-time quant researcher at Jump. At Jump our people can contribute to trading teams in the following roles or a blend of all three: quantitative researcher / data scientist algorithmic trader and software developer so our internship program is designed train you in a variety of areas. Topics include Machine Learning trading / market mechanics C statistics and our research process for signal generation. Applying lessons from training you will first work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then youll have the opportunity to rotate and work with several trading teams. During each rotation youll work on a project with the trading team while being mentored by experienced quant researchers traders and developers. Other duties as assigned or needed. Who Should Apply We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve an entrepreneurial spirit and strong skills in programming and/or quantitative analysis (statistics data mining mathematics machine learning etc.). No prior knowledge of finance or trading is necessary. Well give you the training that youll need. Reliable and predictable availability required. Although we strongly value training in Computer Science and Mathematics we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering Statistics Physics Neuroscience Materials Science Operations Research and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets we hope youll apply. Required Experience: Intern Key Skills Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills Employment Type : Intern Experience: years Vacancy: 1

Job Title: Data Scientist - Home Pricing Location: Leicester / Bexhill / London Welcome to Hastings Direct Were a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company weve made huge investments in our technology pricing data and analytics capabilities over the past few years along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance team were doing exactly the same building a market leading finance technology platform investing in our team and our approach to leadership development with a real focus on commercially adding value to the business. The fact youre now reading this job advert means weve tempted you to find out more about #lifeatHD. If you like what you see we hope youll consider joining our team. We have high standards and understand some people may not apply for jobs unless they feel they tick every box. If youre excited about joining us and think you have some of what we are looking for even if youre not 100% sure we would love to hear from you. Role overview To deliver our profit and growth targets for Home through the use of innovative analytics creating a new product within the Home eco system which leads to segmented pricing changes that we can apply to our live rates and generate incremental growth for the Home portfolio. Job details * Create and maintain analytical tools to support in the management of our risk portfolio. * Develop best in-class models to predict claims outcomes and market premiums. * Engineer powerful new rating factors to be deployed into our rating algorithms. * Identify analyse and monetise new data sources. Essential skills/experience: * Strong programming skills. * Proven track record of delivering commercial value. * Experience using Python and ML libraries to build data science/machine learning products in a commercial environment. * Keen interest in emerging ML techniques and their commercial value. * Strong communication skills. * Ability to work cross-functionally with Data Engineers Data Scientists Actuaries and Pricing Analysts. Desirable * Experience using cloud-based ML technologies. * Experience in general insurance. * GitHub as a code collaboration tool. * Experience using structured query languages (SQL). As a Disability Confident employer were committed to ensuring our recruitment processes are fully inclusive what this means to you is if youre applying for a job with us youll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS please visit our inclusive business page on our careers website Benefits: In addition to a competitive salary you will also receive Flexible working we champion a flexible hybrid working approach please speak to your recruiter to discuss in more detail Competitive bonus scheme- all colleagues are eligible for our annual 4Cs performance bonus Financial wellbeing as well as providing you with 4x your salary with our life assurance cover income protection at no extra cost and matched pension contributions up to 10% we are proud to provide you with an award winning package which includes discounts cashback free independent mortgage advice and free access to financial wellbeing support Mental wellbeing programme we have the thrive mental health app our colleague assistance programme available 24/7 our own in-house mental health first aiders support groups and a dedicated team to make sure we are covering your needs Theres more! 25 days annual leave bank holidays with the option to buy or sell one of your weeks access to our health care cash back plans dental plans discounted health assessments Cycle to work and tech schemes discounted and free onsite facilities social events throughout the year and much more . Join us and youll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues customers company and community. As one of our colleagues youll be helping to drive our growth so in return well give you all the support training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job well deliver good outcomes for every customer helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve. At Hastings Direct were committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all. Job posting end date: Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1

Salary for this Role: From 45500 with benefits subject to skills and experience. Job Title: Postdoctoral Project Research Scientist C Swanton Cancer Evolution and Genome Instability Laboratory Reports to: Charles Swanton C Closing Date: 11/Aug/2025 23.59 GMT Job Description: Postdoctoral Project Research Scientist C Swanton Cancer Evolution and Genome Instability Laboratory Reporting to: Charles Swanton Principal Investigator Deputy Clinical Director Contact term: This is a full-time 2 year position on Crick terms and conditions of employment. About us The Francis Crick Institute is Europes largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent diagnose and treat illnesses such as cancer heart disease infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure cutting-edge facilities and a creative and curious culture. Weve removed traditional boundaries of departments divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the role Our research direction investigates the role of cell lineage upon lung cancer initiation both in homeostasis and in the context of challenge with non-mutagenic carcinogens. Our research is committed to advancing our understanding the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Leveraging genomic transcriptomic and epigenomic sequencing as well as spatial immunophenotyping data from patient samples our aim is to trace the intricate evolutionary trajectories of lung tumours across space and time. This work will unveil the key drivers of cancer progression immune resistance mechanisms and potential vulnerabilities within the tumour landscape. As a Postdoctoral Project Research Scientist in the Swanton lab your main responsibilities will be to work with the informatics team on TRACERx project whilst also contributing to other projects throughout the lab. If you have experience in Bioinformatics are fluent in R or Python as well as experience in evolutionary or cancer biology we would love to hear from you. Salary for this Role: From 45500 with benefits subject to skills and experience. Job Title: Postdoctoral Project Research Scientist C Swanton Cancer Evolution and Genome Instability Laboratory Reports to: Charles Swanton C Closing Date: 11/Aug/2025 23.59 GMT Job Description: Postdoctoral Project Research Scientist C Swanton Cancer Evolution and Genome Instability Laboratory Reporting to: Charles Swanton Principal Investigator Deputy Clinical Director Contact term: This is a full-time 2 year position on Crick terms and conditions of employment. About us The Francis Crick Institute is Europes largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent diagnose and treat illnesses such as cancer heart disease infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure cutting-edge facilities and a creative and curious culture. Weve removed traditional boundaries of departments divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the role Our research direction investigates the role of cell lineage upon lung cancer initiation both in homeostasis and in the context of challenge with non-mutagenic carcinogens. Our research is committed to advancing our understanding the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Leveraging genomic transcriptomic and epigenomic sequencing as well as spatial immunophenotyping data from patient samples our aim is to trace the intricate evolutionary trajectories of lung tumours across space and time. This work will unveil the key drivers of cancer progression immune resistance mechanisms and potential vulnerabilities within the tumour landscape. As a Postdoctoral Project Research Scientist in the Swanton lab your main responsibilities will be to work with the informatics team on TRACERx project whilst also contributing to other projects throughout the lab. If you have experience in Bioinformatics are fluent in R or Python as well as experience in evolutionary or cancer biology we would love to hear from you. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *

Whats it all about As Data Scientist you are a key member of our growing Data Science function in the advisory service Visa Consulting & Analytics (VCA) and are part of Visas global Data Science this role you collaborate with management consultants account executives business development and other internal functions to support our clients with their most pressing issues and biggest opportunities. Your innovative and scalable solutions help drive our clients and Visas business performance as well as enhance payment experiences of millions of customers across the region. What we expect day to day: Are you an adept problem solver who applies both innovation and logic to solve complex problems Would you like to leverage one of the largest payment behavioral data sets in the world to uplift everyone everywhere If so this is what we are looking for you to do with us: • Designing and delivering powerful business-centric insights from data through storyboarding analytics visualization and/or ML with the support from Data Science project leads. Qualifications : We are after highly motivated and curious individuals with strong technical analytical and consultative skills. Team oriented collaborative agile working style Experience in the application of a range of analytics solutions to business problems Hands-on experience with Hadoop SQL or Spark Tableau or Power BI Python or R Ability to communicate with impact to other data scientists as well as non-technical stakeholders Full working proficiency in English Experience working in the payments industry (bank credit reference agencies Fintech merchants) or management-consulting firm Experience of having worked in a consulting-like environment and client-facing project roles Experience in the application of predictive modelling and machine learning technique to business problems Additional Information : Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Remote Work : No Employment Type : Full-time Key Skills Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Experience: years Vacancy: 1