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Experience working with databases and comfortable handling large data sets. A newly created and pivotal role both within the team and broader fund's strategy, seeking a entreprenurial data scientist with experience or understanding of financial services.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21 st century human experience - then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. We're looking for an Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside experienced and like-minded colleagues, challenging and rewriting the rules, not just following them. What we expect from you We're seeking a highly skilled and motivated individual who brings a strong blend of technical expertise, analytical thinking and client-facing confidence. The ideal candidate will demonstrate the following: • Advanced Analytical and Consulting Expertise: A proven background in applying analytical techniques to solve complex business problems, ideally within a consulting or commercial environment. You should be comfortable translating data into actionable insights and influencing decision-making at various levels., • Proficiency in Python and PySpark: Strong programming skills with hands-on experience in Python and PySpark, enabling you to build scalable data solutions and perform advanced data manipulation and analysis., • Dashboard Development in Power BI: Experience designing and building intuitive, impactful dashboards in Power BI to communicate insights effectively to stakeholders. We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Product Analyst London (Hybrid – 2x Days a Week in Office) £75,000-£85,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You’ll be responsible for: • Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy, • Designing, running, and evaluating experiments to optimise product performance and improve conversion, • Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery, • Building and maintaining dashboards and self-serve tools for quick access to core insights, • Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: • Strong SQL, • Python/R experience preferrable, • Experience with dbt and modern data stacks a bonus, • A proven ability to turn data into actionable insights and communicate them clearly to stakeholders, • Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits • Salary up to £75,000 – £85,000, • Bonus How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Collaborate with senior data scientists and consultants to identify client needs and develop data-driven solutions. Experience with data visualization tools such as Tableau or Power BI is a plus. Collect, clean, and analyze large and complex datasets using statistical methods and machine learning te

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key Responsibilities • Define and implement key safety metrics for generative AI (and in particular language) applications., • Perform user research to understand the application’s risks and failure modes., • Integration of AI/ML components with frontend, backend, data and compute infrastructure, • Responsible for high quality software implementations according to best practices and expected to participate in code reviews., • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products., • Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist., • Prior experience carrying out user research for software development., • Knowledge of generative AI and large language models., • Strong skills in Python, including development and testing., • Knowledge of agile practices and able to perform in agile software development environments., • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub). Preferred Qualifications • Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)., • Prior experience conducting user research for AI applications., • Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations., • Web-based front end development experience. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

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. Junior Data Scientist – Master’s Graduate Role. You’ll collaborate with experienced data scient

Junior Data Scientist – AI Start-up | GenAI. Develop skills across data science, automation, and BI in a role that evolves with your strengths. This is a unique opportunity for an ambitious early-career professional to join a small, fast-moving team and work directly with the founders building pro

Analyse large sets of customer data to drive insight and commercial performance.

Unique oppportunity for a Data Scientist / data-heavy Quant to join one of the world's most prestigious and successful hedge funds.

A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. Data Scientist – Hedge Fund (New launch long/short equity).

Senior Data Scientist | Data, Python, Science. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact

Junior Data Scientist – Sport & Data Analytics. You’ll work closely with senior stakeholders to turn data into insight - building dashboards, validating key datasets, and supporting decision-making across finance, marketing, and operations. This is a great fit for an early-career data scientist

Data Scientist and Python Software Developer - London We're looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well engineered products. Main skills: Excellent knowledge of Python and it's related dat

Data Scientist – Climate & Energy Tech | London (Hybrid).Are you a Data Scientist who loves seeing your work in production?.A fast-growing startup is building the.Their platform intelligently shifts energy use to when electricity is.EV charging, heating systems, and home batteries.Backed by top in

Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.Solid understanding of API integration patterns and inter-servic communication (e.Experience with authentication and authorization mechanisms (e.At least two ML/AI solutions delivered to production, ide

Senior Data Scientist – £75–80k + Benefits. Lead and mentor a small team of junior Data Scientists & Analysts. Data Science, ideally with consulting exposure.

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: • Responsible for integrating multiple previously disconnected datasets, • Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision, • Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions, • Enhancing understanding of consumer behaviour, market trends, and emerging patterns., • Play a key role in standardising AI into a global solution Requirements: • MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Experience in Consumer / Marketing Analytics, • Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities • Building machine learning models, with a focus on time-series forecasting., • Collaborating with data scientists and researchers to productionise models., • Managing both cloud-based and on-premise infrastructure., • Ensuring reliability and scalability of ML systems in production. What We’re Looking For • 3+ years of experience in Data Science., • Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)., • Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving)., • Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.)., • Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes., • Solid coding practices, including Git, automated testing, and CI/CD., • Proficiency with Linux environments., • Knowledge of time-series analysis is a strong plus. Please note, this role cannot offer VISA sponsorship.

A fast-growing fintech scale-up is looking for a Lead Data Scientist to drive data-led decision-making across credit risk and pricing, lead a small team, and play a key role in shaping their AI strategy. With a 4x increase in lending over the past year and ambitions to double again in the next, this is an exciting time to join a business scaling rapidly in the embedded lending space. What You’ll Do • Lead and mentor a team of two data scientists, • Support development of credit risk and pricing models, • Perform ad hoc analysis and advise stakeholders across Credit Risk, Pricing, Product, and Engineering, • Assess and shape the company’s approach to AI, • Background in lending or pricing data science, as well as more broad modelling experience, • Experience from aggregators, pricing optimisation platforms, fintechs, or insurance companies could be useful, • Prior experience leading or mentoring data scientists, • Strong communication and stakeholder management skills, • Salary: £80,000–£105,000, • Hybrid working: 3–4 days per week in the London office

Job Title: Junior Data Scientist (Urgent Hiring) Contract Type - Permanent UK based candidates only Education: Master's in Science (IT/Computer Science/Engineer) Looking for candidates with Master's Degree Only What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 1-2 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills. What do we offer: While we offer an unrivalled salary, you will also have the opportunity to earn a 5-15% increase each year on top (national average is 2.5%, source- the guardian). In addition, you will also gain access to our excellent management support network. You will obtain the capabilities to think creatively, design solutions and gain vital work experience.

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

Are you an experienced Data Scientist looking for your next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities • Collect, clean, and process football-related data from diverse sources, • Develop and apply statistical models and machine learning algorithms to analyse player performance, match outcomes, and tactical insights, • Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders, • Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions, • Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • Work that directly impacts elite football performance and club-wide decision-making, • Access to real-world sports data, high-performance environments, and cutting-edge tools, • A digital-first, flexible working environment (remote or hybrid depending on role), • The opportunity to grow and shape your career inside a globally recognised football institution

Position Overview: We are looking for Applied Scientist II to play a key part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: • Participate in hands-on machine learning research and deliver the results of the research in the form of new products., • Communicate your results to the Science team, Engineering and Product teams, • Participate in the machine learning life of the team (reading groups, etc.), • Learn best machine learning practices from a team of senior applied scientists Essential Skills: • Formal training in machine learning and computer vision, • Coding experience in python, • Experience working with at least one deep learning framework (pytorch or tensorflow), • A strong willingness to learn, • Highly collaborative mindset, • A strong interest for a product-centric organization Desirable Skills: • Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git Where you will be: At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them. Benefits: We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive: • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year. *, • Bupa Private Medical and Dental Insurance*, • Life Assurance (3x Annual Base Salary) *, • Pension with The People’s Pension (employer contribution 4% of base salary) *, • Generous paid parental leave, • Free mental health coaching provided online, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups About Entrust Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations. For more information, visit ___. Follow us on, ___, ___, ___, and ___ For more information, visit . Follow us on, , , , and NO AGENCIES, NO RELOCATION

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you’ll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you’re someone who loves football and wants to push the boundaries of how data can shape the sport’s future, this is the role for you. Key Responsibilities • Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics., • Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses., • Develop new metrics to evaluate players (e.g. efficiency in ball retention, progressive passing, duel outcomes under pressure)., • Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes • Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling., • Industry experience in a data science role focussing on sports analytics., • Knowledge of advanced football metrics (possession value models highly desirable)., • A deep passion for football combined with analytical rigour and strong communication skills for club-facing work. Location: London with hybrid working available Type: Permanent Benefits: Large bonus potential, pension, private medical and free onsite gym. Impact: Work directly with clubs and partners to shape data-driven decision-making in football. Interested? This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you’d like to know more, get in touch today to discuss this new client opportunity!

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: • Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling., • Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems., • Bring your models to production and optimise for inference in edge computing environments. Essential Qualifications: • 3-5+ years implementing advanced data science solutions in a commercial setting., • MSc in Computer Science, Machine Learning, or a related field., • Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt)., • Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting., • Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): • Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement., • Experience with recommender systems and/or behavioural AI. What We Offer: • Opportunity to build technology that will transform millions of shopping experiences, • Real ownership and impact in shaping our product and company direction, • A dynamic and collaborative work environment, • A chance to work with cutting-edge technologies and solve challenging problems, • Competitive compensation, • Equity in a rapidly growing company If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we encourage you to apply.

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: • Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence., • Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks., • Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing., • Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data., • Participate in hands-on machine learning research and deliver the results of the research in the form of new products., • Communicate technical vision and roadmap at multiple levels within the organisation and externally., • Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences., • Contribute to filing patents. Essential Skills: • Strong experience in machine learning and computer vision, including industry experience deploying ML models to production., • Track record of successfully delivering high performance ML-driven products., • Worked with customers to impactfully solve their problems., • Deep understanding of machine learning theory., • Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: • Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields., • Technical experience with signal processing and image processing techniques., • Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.. Where you will be: At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them. Benefits: We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive: • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year. *, • Bupa Private Medical and Dental Insurance*, • Life Assurance (3x Annual Base Salary) *, • Pension with The People’s Pension (employer contribution 4% of base salary) *, • Generous paid parental leave, • Free mental health coaching provided online, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups About Entrust Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations. For more information, visit ___. Follow us on, ___, ___, ___, and ___ For more information, visit . Follow us on, , , , and NO AGENCIES, NO RELOCATION

A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation. About the Role This is a unique opportunity to work in a cross-functional environment where data is central to investment decision-making. You'll be part of a specialist group that partners closely with trading and research teams to ensure data is efficiently sourced, transformed, and deployed across the investment process. Key Responsibilities • Collaborate with trading and research teams to design and implement robust data pipelines tailored to investment strategies., • Work with data engineers to onboard and integrate new datasets, ensuring they are production-ready and aligned with business needs., • Develop and prototype tools to extract, clean, and aggregate data from diverse sources and formats., • Lead the end-to-end onboarding of new datasets, from discovery through to deployment., • Continuously improve data workflows by identifying bottlenecks and implementing scalable solutions., • Experiment with novel data acquisition and transformation techniques to expand the firm's data capabilities. Ideal Candidate Profile • 3+ years of experience in a data science or data engineering role, ideally within a quantitative or financial setting., • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering., • Strong Python programming skills, particularly with data-centric libraries like Pandas and NumPy., • Demonstrated interest in financial markets and the application of data to investment research., • Experience working with both traditional and alternative financial datasets., • Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders., • Comfortable working in a fast-paced, high-performance environment. If you feel the above fits with your expeirence and are ready to join a fast paced and high performing fund, apply today!

Data Scientist/6-month contract can be extended/London, UK/30-40 pounds an hour Role Overview • Join a dynamic team driving a Firm-wide GenAI initiative aimed at advancing our people solutions. Collaborate with engineers, data scientists, designers, product managers, and stakeholders to deliver a critical product that supports the development, engagement, and retention of exceptional talent. As the DS in charge of testing, you’ll ensure the quality, reliability, and performance of cutting-edge features during an exciting phase of growth, supporting a rapidly expanding user base. This role is ideally suited for candidates in US/Europe time zones., • As the DS for LLM testing, you will define and execute the technical vision and strategy for AI controls and testing. Your responsibilities will include continuous monitoring, evaluation, and reporting of LLM features to ensure compliance with internal standards, best practices, and external regulations. You’ll play a key role in risk assessment and mitigation, guiding the responsible development and deployment of LLMs., • You will design and implement test cases for LLM governance and development, enabling your team to define features and mitigate risks. Collaborating with cross-functional teams, you’ll develop tools, automation strategies, and data pipelines to support scalable LLM management. Additionally, you’ll create standardized reporting templates for both technical and senior leadership audiences, ensuring clear communication of results., • Your work will involve close collaboration with tool owners and senior management to present findings, assess risk implications, and propose enhancements to AI tools., • Responsibilities, • Lead testing efforts for the platform, focusing on LLM output testing to ensure reliability, accuracy, and performance, • Develop and maintain a comprehensive and representative dataset of inputs and expected outputs for each prompt in the tool (i.e., benchmark dataset), • Develop and maintain comprehensive testing strategies, including semantic similarity, Q&A validation, claims verification, LLM judge evaluations, and metrics like ROUGE, • Collaborate with engineering, product, and data science teams to define testing requirements, thresholds, and standards, • Design and implement robust test cases aligned with business goals and user needs, • Write and maintain automated tests in Python using frameworks like pytest (prior experience with Opik is not required), • Monitor and improve test stability to support application changes, • Establish and track QA KPIs, such as test coverage and stability, to measure and communicate platform quality, • Stay updated on industry best practices for GenAI/LLM testing and integrate them into QA processes Skills • Python Proficiency: Strong experience in writing and maintaining Python code, • LLM/GenAI Testing Expertise: Experience in testing LLM outputs, including semantic similarity, Q&A validation, claims verification, LLM judges, and evaluation metrics like ROUGE, • Testing Frameworks: Understanding of automated testing tools (e.g., pytest), • Test Strategy Development: Proven ability to design and implement test strategies for complex systems General • Leadership: Demonstrated ability to lead own workstream and drive quality initiatives in fast-paced environments, • Stakeholder Collaboration: Strong communication skills to align technical and non-technical stakeholders on testing needs and standards, • Execution-Oriented: Self-driven with a “get stuff done” mindset, able to work independently and adapt quickly, • Agile Mindset: Familiarity with agile principles and product development processes, • Global Collaboration: Comfortable working with a global team and accommodating occasional early or late meetings Education Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

NLP / GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London- do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: • Design, implement and maintain scalable NLP and GenAI pipelines (including data processing, preprocessing, evaluation)., • Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes., • Stay up to date with state-of-the-art research in the space of LLMs/ NLP, proposing new ideas and methodologies that unlock business value., • Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation., • Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results., • Collaborate with a team and help in prioritising research that has a direct value, • Work closely with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines. Candidate Requirements • Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies., • Strong knowledge of Python programming for developing and debugging AI models., • Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines., • Strong interest in cross-disciplinary collaboration to support research that delivers both business value and scientific impact. Can you offer Python coding and NLP knowledge and does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.

Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Measure Protocol are looking for a smart, creative and dynamic Senior Data Scientist to help shape and mould their approach and p

Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products.

Senior Data Scientist – Financial Domain. Data Science, Data Analytics, or BI. Collaborate with business and technical stakeholders to translate requirements into data-driven solutions.

Senior Data Scientist (Optimisation). They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. Write production-quality Python code and collaborate closely with engineers and other data scientists.

Senior AI Product Manager | Brand new conversational AI product! Role: Senior Product Manager (AI) Location: London (2-3 days p/w in the office) Salary: up to £105,000 + equity Are you an experienced, highly technical Product Manager with a strong background and interest in AI? Are you interested in leading the development for a brand new, high demand, conversational AI product? If so, this could be the perfect next move for you! With huge funding, ARR doubled from last year and international expansion on the cards, it's an exciting time to join this fintech scale up at a pivotal stage of growth - with AI at its core. You’ll lead a newly created, growing AI team and take full end to end ownership of a new conversational AI product for clients. What are they looking for? • Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products, • Previous experience as a Data Scientist or ML Engineer, • Fintech / B2B / SaaS experience would be highly desirable, • Strong understanding of AI/ML concepts, workflows, and responsible AI practices, • Comfortable leading teams, influencing stakeholders, and moving fast in a scaling environment, • Passion for creating AI products If you’re looking for a world class product team and a role with a high degree of autonomy, please apply here for more information!

Team: R&D Team, Protein production and purification. Start date: Immediate Period: Full time, permanent Location: Kings Cross, London Application closing date: Mon 27th Oct 2025 (Please note that the application may close early if we receive a sufficient number of suitable applications.) Keywords: recombinant proteins, molecular biology, protein expression, protein purification, monoclonal antibodies, vaccines, immunology. About us Baseimmune is a discovery stage biotechnology start-up focused on revolutionising therapies through advanced computational antigen design. Our mission is to harness the fields of data science, machine learning and computational biology within a multi-disciplinary team to redefine therapies for complex disease. Position Overview We are seeking a highly motivated and skilled protein expression and purification scientist to join Baseimmune’s R&D team. This lab-based role requires strong scientific and technical expertise in protein expression, purification and characterisation, applied to antigen validation and therapeutic development. You’ll work across multidisciplinary teams in a fast-paced, innovative biotech environment, where your contributions will directly shape the development of next-generation therapies. In this role, you’ll design, validate and execute diverse protein expression and purification pipelines employing multiple expression systems, generating protein resources to facilitate key R&D programs, and contributing to the strategic development of our protein capabilities. The ideal candidate should have strong knowledge and hands-on experience in protein expression and purification, alongside applied molecular biology and biochemistry techniques. This position is well-suited to someone looking to grow their career in protein science while making a tangible impact within a dynamic and ambitious company. Key Responsibilities • Actively participate in the development of protein expression and purification platforms to screen, characterise vaccine candidates and generate protein reagents supporting research activities., • Take ownership of chromatography equipment (e.g., ÄKTA systems), ensuring proper operation, maintenance, and troubleshooting., • Participate in the development, validation and roll-out of vaccine delivery platforms for antigen presentation, such as Virus-Like Particles (VLPs) and protein nanoparticles., • Assist in the execution and optimisation of protein characterisation assays., • Collaborate effectively with other groups in the wider R&D team, including experimental and computational biologists., • Demonstrate and maintain knowledge in own area of expertise using literature and database data, and apply it to critical analysis of new targets and the successful execution of experiments., • Keep detailed, compliant records of procedures, observations, and results, contributing to timely preparation of reports and presentations., • Uphold good laboratory practice, health and safety standards, and contribute to general lab maintenance, housekeeping, and documentation (including risk assessments and SOPs). Essential Qualifications and Skills Qualifications • PhD minimum in Molecular Biology, Structural Biology, Immunology, Cell Biology or other related discipline with applicable experience in protein expression, purification and characterisation. Technical Skills and Experience • Proven experience in different protein purification protocols with strong experience in developing, validating and optimising methods using ÄKTA chromatography systems (affinity, ion exchange, SEC, etc) is required., • Extensive hands-on experience in expressing complex recombinant proteins in bacterial systems., • Proven experience in high throughput protein screening, validation and production environment., • Proficiency in protein quantification techniques, including BCA, SDS-PAGE and Western blotting., • Experience in cell and molecular biology techniques including molecular cloning, plasmid design, DNA amplification, transfection, bacterial transformation, cell maintenance and recombinant protein production., • Experience working in cell culture environments using aseptic techniques. Leadership and Soft Skills • Self-motivated and able to work effectively as part of a cross-functional team but also able to execute tasks independently when needed., • Able to collaborate effectively with computational scientists and bioinformaticians., • Able to ensure reproducible and transferable work through appropriate procedures and documentation., • Inclusive, collaborative, and thrives in a team environment with a flexible approach to working., • Strong communication skills with the confidence and judgement to challenge appropriately., • Able to proactively apply knowledge, problem-solving skills and creative thinking in driving the project forwards., • A can-do attitude and excellent attention to detail., • Excellent organisation and record-keeping skills. Desired Qualifications and Skills • Experience in producing antigen delivery systems such as Virus-Like Particles (VLPs) and/or protein nanoparticles., • Experience with protein production in mammalian systems (adhering and suspension)., • Experience working with qPCR and collagen quantification is a plus., • Experience working in biotech/pharma settings., • Direct hands-on laboratory experience in testing and developing of biologics. What we Offer • Competitive starting salary, • Central London location for lab and office (Kings Cross), • Private medical health insurance, • Opportunities for career growth and professional development, • 26 days holiday leave + bank holidays, • Enhanced sick pay, • Family friendly policies, including enhanced maternity, paternity and adoption leave, • Pension plan Please note that Baseimmune does not provide visa sponsorship for this position. Applicants must be eligible to work in the UK without requiring employer sponsorship. We encourage all eligible candidates to apply and regret that we are unable to consider candidates who require visa sponsorship currently. We are an equal opportunity employer and value diversity and inclusion in our workplace. Privacy statement – read ___ about how we collect and use your data.

Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions. Excellent communication skills and a collaborative mindset.

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement, combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities • Design, build, and deploy machine learning models and AI-driven solutions to address business challenges., • Collaborate with data scientists to transition prototypes into production-ready systems., • Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment., • Optimise model performance, scalability, and reliability using MLOps best practices., • Work with large-scale structured and unstructured datasets for model training and validation., • Implement model monitoring, versioning, and retraining processes to ensure continuous improvement., • Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments., • Proven experience (3–5+ years) as a Machine Learning Engineer, Data Scientist, or similar role., • Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy)., • Solid understanding of machine learning algorithms, statistical modelling, and deep learning architectures., • Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms., • Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration., • Knowledge of containerization and orchestration tools (Docker, Kubernetes)., • Experience integrating ML models into production environments via APIs or microservices., • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field., • Familiarity with CI/CD pipelines for ML model deployment., • Exposure to natural language processing (NLP), computer vision, or reinforcement learning projects., • Location: Hybrid – London (onsite 2–3 days per week), • Type: Day-rate contract (Outside/Inside IR35 subject to assessment), • Duration: 6–12 months (extension likely), • Work with a talented, cross-functional AI and data engineering team., • Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment., • Hybrid flexibility with a strong London presence.

Senior Data Analyst - Green Tech / Energy Sector 📍 Central London (3 days per week onsite) | 💰 Up to £80,000 + Benefits | ⚡ Private Equity-Backed Scale-Up Are you passionate about using data to drive real-world impact in the green tech space? This is a fantastic opportunity to join a fast-growing, sustainability-focused business that's revolutionising how we power electric vehicles across the UK. You'll work closely with the Head of Data to shape the company's analytical direction and deliver actionable insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist, you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling projects to support commercial, operations, energy, and marketing teams. You'll help answer key strategic questions, such as: * How should we price energy dynamically across the day? * What patterns exist in customer charging behaviour? * How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role, ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role. Key Responsibilities * Develop and maintain forecasting and pricing models * Support business teams with actionable insights and data storytelling * Analyse large data sets in Snowflake / AWS using SQL and Python * Apply statistical techniques (segmentation, regression, predictive modelling) * Partner with stakeholders to translate business questions into data-driven answers About You * Strong experience with SQL and Python (Jupyter Notebooks) * Solid grounding in statistical analysis and forecasting methods * Commercially minded - able to connect technical outputs to business goals * Excellent communicator, proactive and adaptable to a fast-paced environment * Comfortable working in a smaller, scaling data team * Ideally some exposure to AWS / Snowflake / Power BI Why Join * Work in a purpose-driven, sustainability-focused organisation * Be part of a rapidly scaling team with genuine ownership and impact * Shape data-driven decisions in one of the UK's most exciting green tech businesses * Collaborative, communicative, and mission-led culture Find out more and apply via the link below.

Scientist – Series B BioTech Scaleup £22M+ Raised | London / Remote 💰 Salary: £80,000 – £110,000 + early equity options About the Company We’re proud to be partnered with a Series B BioTech scaleup that’s raised over £22 million to advance next-generation drug discovery through cutting-edge biology and data-driven science. With expertise spanning genomics, proteomics, and AI-driven biology, this team is redefining how complex biological data is transformed into life-changing therapeutic insight. Now backed by major investors and expanding rapidly, they’re entering a pivotal phase of growth, building out their world-class R&D function and scaling their platform to deliver breakthroughs across multiple disease areas. The Role As a Scientist within the R&D team, you’ll take a hands-on role in designing, optimising, and validating experimental systems and assays that fuel their discovery pipeline. Working closely with biologists, bioinformaticians, and engineers, you’ll drive innovation at the interface of wet-lab science and computational biology, helping turn discovery into translation. Key Responsibilities • Design and execute experiments across molecular biology, biochemistry, and/or cell-based systems., • Develop, optimise, and scale assays for discovery and translational applications., • Analyse, interpret, and present experimental data to project leads and internal stakeholders., • Collaborate with computational teams to integrate biological and data-driven insights., • Evaluate and implement emerging tools and technologies., • Contribute to publications, patents, and conference presentations. About You Education • PhD (or MSc with equivalent experience) in Molecular Biology, Biochemistry, Biotechnology, or a related discipline. Experience • Proven track record in assay development, experimental design, and method validation., • Hands-on expertise in one or more of: NGS, proteomics, CRISPR, molecular cloning, cell culture, or high-throughput screening., • Strong analytical mindset with an emphasis on experimental rigour., • Previous industry or biotech startup experience preferred. Skills & Attributes • Independent thinker with strong scientific curiosity and problem-solving skills., • Excellent communication and collaboration across multidisciplinary teams., • Thrives in a fast-paced, high-growth environment., • Passionate about translating science into real-world therapeutic impact. If this sounds like you, you'll fit right in. To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.

BioTalent are excited to partner with a biotechnology client developing RNA-editing medicines for patients with rare and common diseases in recruiting a clinical scientist for their team. This position will support the design, execution and analysis of clinical trials and work cross functionally to ensure scientific integrity and operational excellence in company sponsored trials. Your responsibilities will include: Clinical Trial Design & Protocol Development • Assist in or lead the design of clinical study protocols and amendments, • Provide scientific and clinical input during trial conduct, • Monitor data for consistency, completeness, and potential safety/efficacy signals, • Collaborate with CROs, sites, and internal teams to resolve study-related issues, • Review clinical trial data in collaboration with data management and biostatistics, • Interpret data in the context of the disease, target, and competitive landscape, • Work closely with Clinical Operations, Medical Monitors, Pharmacovigilance, and Regulatory Affairs, • Participate in clinical development plan creation and updates, • Support preparation of INDs, NDAs, CTAs and other regulatory documents, • Provide input into safety review processes and risk-benefit assessments Ideally, you will have: • An advanced degree in life sciences or health discipline (PhD, Pharmacy degree, MD, or MS with relevant experience), • 2–6+ years of industry experience in clinical development and/or clinical operations, • Strong knowledge of ICH GCP and clinical trial methodology, • Ability to critically evaluate scientific data and literature, • Strong communication skills (verbal and written), • Ability to manage multiple priorities and collaborate across functions, • Experience in rare disease, • Familiarity with working with and supporting clinical trial sites for study start-up and recruitment, • Working knowledge of clinical trial site monitoring, • Ability to travel to clinical trial sites and build relationships with PIs and clinical trial site staff LOCATION: This is a remote position that will require travel to sites. A candidate based in Europe/UK is preferred

Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. You have the presence and communication skills to build credibility with senior executives and the patience to guide technical practitioners. We are seeking a highl

DATA SCIENTIST / SENIOR ANALYST.

Tools experience that is beneficial: Python (required), SQL, Power BI.

Data Scientist | AI Tech Start-Up | £60,000-£85,000 DOE + Shares | London / Hybrid We are excited to be working with a rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role As a Data Scientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred., • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more., • Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions.

🚀 SC & DV Cleared Technical Talent – Engineering, Cyber & AI 🚀 UK-Wide (Hybrid & Onsite Options) Competitive Salaries + Excellent Benefits – Permanent Are you SC or DV cleared and looking for your next challenge? We’re working with some of the UK’s most high-profile defence, intelligence, and national security programmes — and we’re looking for talented engineers, cyber specialists, and AI professionals to join. This is your chance to work on projects that matter: complex, mission-critical, and often cutting-edge. Whether you’re a software engineer, cyber consultant, data scientist or AI researcher, there are multiple opportunities available at mid–senior levels. What you’ll be doing: • Designing and delivering secure technology solutions that protect UK national interests., • Tackling some of the most complex engineering and cyber challenges in the industry., • Working with modern tools and approaches across software, data, and AI., • Contributing to projects where innovation and impact go hand-in-hand. We’re looking for: • SC or DV cleared professionals., • Background in software engineering, cyber security, data science, AI/ML, or related fields., • Strong problem-solvers who thrive in collaborative, mission-driven teams., • Individuals who want to push their skills forward while working on projects with real-world impact. The package: • Competitive salaries with strong bonus and benefits., • Flexible hybrid working across UK client sites., • Ongoing training, certifications, and clear career progression., • The opportunity to join some of the UK’s most important technology programmes. If you hold active clearance and want to explore opportunities across engineering, cyber or AI, we’d love to hear from you.

COMPANY OVERVIEW AIRNA is a biotechnology company with a mission to be the leading RNA editing company delivering precision therapies to patients with rare and common diseases. AIRNA is harnessing advances in genetics to develop transformative RNA-editing medicines that improve human health. Our proprietary platform is based on groundbreaking research by pioneers of the field and company co-founders Thorsten Stafforst (University of Tübingen) and Jin Billy Li (Stanford University) and enables optimal potency, safety, and delivery. AIRNA is advancing a robust pipeline of therapeutic candidates that are designed to provide functional cures for severe or chronic diseases by repairing harmful genetic variants or introducing beneficial variants promote optimal health. AIRNA has raised $245 million in financing from a world-class syndicate of investors including Arch Venture Partners, Forbion, Venrock Healthcare Capital Partners, RTW Investments, Nextech Invest, and ND Capital. We value teamwork, resilience, excellence, human, and health, and have a diverse team at both our headquarters in Cambridge, MA and our research operations in Tübingen, Germany. JOB OVERVIEW 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 operational excellence in AIRNA’s clinical trials. RESPONSIBILITIES Clinical Trial Design & Protocol Development • Assist in or lead the design of clinical study protocols and amendments, • Provide scientific and clinical input during trial conduct, • Monitor data for consistency, completeness, and potential safety/efficacy signals, • Collaborate with CROs, sites, and internal teams to resolve study-related issues, • Review clinical trial data in collaboration with data management and biostatistics, • Interpret data in the context of the disease, target, and competitive landscape, • Work closely with Clinical Operations, Medical Monitors, Pharmacovigilance, and Regulatory Affairs, • Participate in clinical development plan creation and updates, • Support preparation of INDs, NDAs, CTAs and other regulatory documents, • Provide input into safety review processes and risk-benefit assessments QUALIFICATIONS Education: • Strong knowledge of ICH GCP and clinical trial methodology, • Ability to critically evaluate scientific data and literature, • Strong communication skills (verbal and written), • Experience in rare disease, including pulmonary/hepatic diseases, • Familiarity with working with and supporting clinical trial sites for study start-up and recruitment, • Working knowledge of clinical trial site monitoring, • Ability to travel to clinical trial sites and build relationships with PIs and clinical trial site staff LOCATION • This is a remote position that will require travel to sites. A candidate based in Europe/UK is preferred.

Data Scientist – Series A Agri-BioTech Startup £11M+ Raised | London / Remote (UK) 💰 Salary: £70,000 – £95,000 + early equity options About the Company We’re partnering with a Series A Agri-BioTech startup that’s raised over £11 million to transform how data and biology combine to shape the future of sustainable agriculture. They need to harness the power of machine learning, biological data, and environmental intelligence to improve crop performance, resilience, and sustainability, driving measurable impact on global food systems, climate, and biodiversity. This is an opportunity to join a high-growth, mission-driven team at a pivotal stage of expansion, where your contributions will directly influence both the company’s science and its strategy. The Role As a Data Scientist, you’ll play a pivotal role in transforming complex biological and agronomic datasets into actionable insight. You’ll design, implement, and scale machine learning models that drive discovery, optimise breeding pipelines, and accelerate product innovation. You’ll work cross-functionally with biologists, agronomists, and engineers — turning data into decisions that move the needle for sustainable agriculture. Key Responsibilities Data Science & Modelling • Develop and apply machine learning models to extract insights from genomic, phenotypic, and environmental datasets., • Build predictive models to guide experimental design and identify high-value biological targets., • Ensure robustness through data cleaning, feature engineering, validation, and reproducibility. Cross-Functional Collaboration • Partner with wet-lab and field scientists to translate research questions into data-driven experiments., • Present analyses and visualisations that clearly communicate findings to both technical and non-technical stakeholders., • Contribute to strategic decisions across R&D and product development through evidence-based insights. Infrastructure & Tools • Help shape scalable data pipelines and workflows alongside software and bioinformatics teams., • Promote best practices in data management, documentation, and model governance. About You Education & Background • MSc or PhD in Data Science, Machine Learning, Computational Biology, Statistics, or related discipline., • Proficiency in Python (NumPy, Pandas, TensorFlow or PyTorch) and R for modelling and analysis., • Experience handling biological, genomic, phenotypic, or environmental datasets., • Familiarity with data visualisation tools (e.g. Plotly, Matplotlib, Tableau) and SQL. Mindset & Attributes • Curious, adaptable, and driven by solving complex scientific problems with data., • Excellent communicator who can bridge biology and computation., • Comfortable working in a fast-paced, high-ownership startup environment., • Previous experience in biotech, agri-tech, or research-driven teams is a plus. Why Join? 🌱 Mission-Driven Impact – Apply your data science expertise to tackle food security and climate change. 🚀 High Ownership – Work directly with the founding team and senior scientists on core R&D challenges. 💡 Innovation Culture – Join a company where creativity, experimentation, and impact are encouraged. 📈 Career Growth – Be part of the early team shaping a rapidly scaling Series A biotech. If this sounds like you, you'll fit right in. To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.