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As a Data Scientist Intern, you'll be part of our rapidly growing team. Explain sophisticated data science concepts in an understandable manner. Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related f

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high computer cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly to the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. Requirements · 6+ years in data science / ML, with at least 2 years in a technical lead role. Role Overview They are looking for an experi

We are a specialist healthcare equity research boutique, providing independent equity research to the world’s largest institutional investors. We are seeking an Insights Analyst to join our research team. Data Scientist – Healthcare Research.

Job Description Join our Applied AI/ML team to advance AI in financial services and optimise business decisions. As an Applied AI ML Scientist/Engineer in the Engineering Space at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing, and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. Job Responsibilities • Development of advanced machine learning models to address complex operational challenges., • Evaluating and communicating the impact brought by proposed solutions., • Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes., • Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions., • Analyse large datasets to extract actionable insights and support data-driven decision-making at a strategic level., • Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability., • Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations., • Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills, • Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML., • Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing., • Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms., • Familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models., • Familiarity with AI/ML frameworks such as OpenAI SDK, Langchain, TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn., • Experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI)., • Experience with integrating user feedback to establish self-improving AI applications., • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques., • Familiarity with cloud platforms (AWS)., • Excellent problem-solving skills and the ability to work independently and collaboratively., • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities, And Skills, • Experience in software engineering practices., • Experience in developing AI solutions using agentic frameworks., • Experience fine-tuning LLMs with advanced techniques., • Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering., • Demonstrated ability to design and implement AI application architecture., • Significant experience in bringing AI applications to production with a focus on strategic impact and innovation. #ICBCareer #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

London – Hybrid (3 days a week in Chelsea).We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position.You will be joining an organisation where data drives strategic decision-making within the property space.You’ll lead the data science visio

Job Description As a Data Scientist Director in JP Morgan Asset Management's Data Science team, you will focus on developing solutions to support our ESG and Stewardship functions with a heavy focus on content extraction, search, and principles-based reasoning with LLMs. You will work directly with stewardship, ESG, and engineering functions to build solutions from the ground up. Despite the seniority, this is a technical role with an expectation that you are hands-on in both code and design. Job Responsibilities • Collaborate with internal stakeholders to build out requirements and understand business needs, • Develop technical solutions utilizing LLMs with a focus on problems involving search, content extraction and principals based reasoning, • Build comprehensive testing packages to ensure the efficacy of solutions and to build trust with stakeholders, • Help to design technical architectures and solutions, • Collaborate heavily with engineering functions to deliver high quality, scalable output, • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry., • Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting., • Advanced python programming skills with experience writing production quality code, • Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc., • Strong knowledge of language models, prompt engineering, model fine tuning, and domain adaptation., • Familiarity with latest development in deep learning frameworks., • Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities, and skills • Prior experience in an Asset Management line of business, • Strong business domain knowledge in ESG, investment stewardship, proxy voting, corporate filings or buy side investment, • Familiarity with techniques for model explainability and self-validation About the Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science.This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and

Are you interested in progressing your career in data analytics and data science and looking for a new challenge?.

OpenAI, Antropic), Vector databases (e.

We’re Hiring: Data Scientist / Machine Learning Engineer. Data Scientist / Machine Learning Engineer. Develop predictive systems and machine learning algorithms.

Besides exploring and analysing datasets, you will help to establish a cloud native data foundations, with a data warehouse and supporting data pipelines. You will be expected to use AI tools where possible to help explore, analyse and transform data. Build Data Products & Algorithms: Prototype and

As the company continues to establish its unique identity, the data team is expanding and looking for a junior data scientist to join their dynamic environment. Graduate Junior Data Scientist. In this role, you’ll play a key part in driving data-informed decision-making by working with diverse

Strong Python skills and experience with LLMs/NLP.

Experience working in Python for data manipulation, analysis, and machine learning. Experience working with Microsoft Azure services, including Azure Machine Learning, Azure Search Index, Azure Data Factory and Azure Open AI.

AI Data scientist - Python & Azure We are seeking a Data Scientist to join our Data & AI team, supporting internal service delivery transformation projects across Tax and Legal. Collaborate with data scientists, software engineers, and domain experts to deliver high-impact solutions.

Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities • Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI., • Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities for data science that add value to the business., • Advance the use of AI within the business by building our next generation data products, eg recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems., • Implementing machine learning in production using in-house or third-party data science platforms, • Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous., • You possess excellent communication skills, explaining complicated concepts to non-technical colleagues., • Generating insights from complex data sources.

Job Title: Data Scientist (LLMs & ML) - UK Remote.

Who We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities.BCG was the pioneer in business strategy when it was founded in 1963.Today, we help clients with total transformation-inspiring complex c

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. You’ll work closely with senior leaders, collaborate across functions, and have a direct hand in strategic projects, al

Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics.

Join an incredible Data Science leader and she continues the growth and development of a best-in-class team in the insurance space.Work on data science & machine learning models, with a key focus on marketing, customer, LTV & churn as they elevate their central function for a new-look approa

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and dev

Junior Data Scientist – Master’s Graduate Role.We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI.This is an excellent opportunity for a rece

Senior Data Scientist - Forecasting, Propensity and Segmentation. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making.

We’re hiring a Lead Data Scientist to join a fast-growing, specialist data consultancy delivering high-impact solutions across sectors such as energy, public sector, manufacturing, and health. Proven experience delivering data science projects in a consultancy setting. Lead Data Scientist &nda

The Senior Product Engineer will be at the heart of this, working alongside the Data Director and the Innovation Labs Data Scientist. Youll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agentsbringing Serve Legals data and insights t

Associate Director, AI Data Scientist.

We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more junior members of the team.

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models.

As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange.

Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security.T

Contract Data Scientist - London - £700/pd.Please note - this role will require you to be on-site in London 2-3 days per week.You must have the unrestricted right to work in the UK to be eligible for this role.London, offering a 6-month contract at.AI and data science solutions using cutting-edge t

Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP. A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Significant experience working as a Data Scientist/M

As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. Senior Data Scientist - Consumer Lending. As a Senior Data Scientist your role will span across the whole lif

The successful contractor will also provide day-to-day oversight and mentorship to a junior Data Scientist on the project. Role & Responsibilities The Senior Data Scientist will be responsible for:.

Full Stack Data Scientist - AI & Knowledge Systems. We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team.

Scientist I – Cellular Immunology (T-cell focus). The team blends biology, data science, and machine learning to revolutionise vaccine and therapeutic development, and they’re now looking for a Scientist with deep expertise in T-cell biology to help shape the future of their pipeline.

Contract: PermanentSalary: Salary between £32,000 to £40,000 depending on skills and experience.Thames Water is looking for a Process Scientist to join us permanently, providing scientific advice and guidance to internal and external departments. The purpose of this role is to ensure that water quality is efficiently maintained from source to service reservoir and incidents, events and performance shortfalls are responded to in a timely and effective manner. You will be working within a small team of Process Scientists, who provide technical support to ensure compliance, as well as championing optimisation initiatives to reduce cost or improve quality at no additional cost. This is a fantastic opportunity where you can make a positive, tangible impact on the quality of water supplied to millions of people across the Capital. What you’ll be doing as a Process Scientist: • Water quality monitoring from the source to the service reservoir., • Producing weekly reports from trends and sample data, • Investigating water quality failures/events at company assets and raising to the Drinking Water Safety Plan (DWSP)., • Provide recommendations to both internal and external departments on how events/failures can be prevented., • Providing technical support to Production and Capital Delivery schemes to ensure that water quality requirements are met., • Supporting internal water treatment works audit process (DWSP) and conducting Treatment reviews.

from £60000 to £70000 depending on experience Senior Data Scientist Salary from £60,000 to £70,000 depending on experience Permanent Hybrid / London Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are keen to make one more hire to our growing team. You will be joining a high performing in-house Data Science team that specifically focusses on Marketing domain models. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it’ll be with a real purpose in mind – to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; • Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies., • Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making., • Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. From start to finish of every project., • Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies., • Project Management – Manage and deliver projects on time, to high standards., • Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities., • Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery., • Can demonstrate previous experience of working in a marketing domain or have the desire and enthusiasm to move into this area., • Must be able to demonstrate strong programming skills in languages such as Python and SQL. (A technical task will form part of the interview process.), • Already be a credible expert in machine learning, statistical modelling and data analysis., • Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders – providing business recommendations within a marketing-based field., • Experience with big data technologies and cloud platforms, ideally Azure., • Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery., • Have worked with data visualisation tools e.g. Tableau., • Experience in model monitoring. (MLOPS experience would be desirable.), • Pre-screen call with the Head of Data Science., • Technical Python Task, • In-Person Interview – Present the Technical Task, competency, live SQL Package Description At Saga we recognise that our people make us special. We believe our colleagues deserve rewards for the excellence they demonstrate every single day, that's why we have put together an amazing benefits package for all colleagues. BENEFITS AVAILABLE TO ALL COLLEAGUES: • 25 days holiday + bank holidays, • Option to purchase additional leave - 5 extra days, • Pension scheme matched up to 10%, • Company performance related annual bonus - Up to 5%, • Life assurance policy on joining us, 4 x salary, • Wellbeing programme, • Colleague discounts including family discounts on cruises, holidays and insurance, • Range of reductions and offers from leading retailers, travel groups and entertainment companies, • Enhanced maternity and paternity leave, • Grandparents leave, • Income protection, • Access to Saga Academy, our bespoke learning platform About the Company Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. The Saga brand has become one of the most recognised and trusted brands amongst UK consumers in this demographic, recognised for its high quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance and the Saga Magazine.At Saga we are committed to treating all employees fairly and to offering equal opportunities in all aspects of employment and advancement. We value diversity not just because it is the right thing to do, but because diverse teams perform better.Fair consideration is given to applications from all applicants, including those with disabilities and those over who are over 50 as we are champions of age inclusivity. We are an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible and we will make reasonable adjustments as required. For more information on our DEI policies please visit our Saga Careers page.Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, employees or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.Job Reference: saga/TP/205960/3312

Senior Data Scientist London – Hybrid Up to £70,000 About the Role I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team. This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale. The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities • Optimise existing yield and matching models for better consistency and forecasting performance., • Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements., • Build and deploy scalable data science solutions that drive measurable business impact., • Collaborate with developers and commercial leads to implement models into production systems., • Present insights in a clear, impactful way to senior non-technical stakeholders., • Own the full data science project lifecycle – from hypothesis to production and iteration., • Support scenario planning and forecasting for commercial strategy. What They’re Looking For • Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance., • Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI., • Familiarity with cloud platforms such as AWS, Redshift, or Azure., • Strong grasp of forecasting, optimisation, and statistical modelling techniques., • Confident communicator who can translate technical outputs into business recomme, • ndations., • Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does not offer visa sponsorship or relocation support. Next Steps If you’re interested in learning more, please reach out to Joseph Gregory to discuss the opportunity in more detail.

SENIOR MARKETING SCIENTIST – PERFORMANCE MARKETING AGENCY. This is a chance to join a data-first team where marketing science is at the heart of every media and strategy decision. Ready to join a business where marketing science drives e.

As a Materials Development Scientist, you will lead the discovery and optimisation of novel bio-based materials through high-throughput experimentation and data-driven research. Design and execute high-throughput experiments to develop and optimise bio-based materials. This company is committed to t

London (Hybrid, 1 days onsite per week).They provide flexible and reliable home insurance tailored to the needs of modern households.Whether covering unique properties or complex personal circumstances they are committed to making home insurance more inclusive, accessible, and straightforward.Lead t

We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company.