Scientist jobs in United Kingdom

Experience with statistical modelling, machine learning techniques, and feature engineering. Apply statistical, machine learning, and data science techniques to generate insight across risk assessment, underwriting innovation, and pricing‑adjacent use cases.

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Senior Data Scientist London - RemoteThe Company They are a global, data-driven technology business operating at the intersection of AI, advanced analytics and large-scale data platforms. Their products are used internationally to generate insight from complex datasets and to support better decision-making. With a strong focus on innovation and collaboration, they invest heavily in modern AI capabilities and encourage their teams to explore new approaches. The culture values curiosity, accountability and clear communication across technical and non-technical teams.The Role • Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models., • Design and deliver synthetic data and data augmentation solutions that enhance existing data assets., • Run complex statistical experiments to test model performance and validate hypotheses., • Work closely with Product and Engineering to move models from prototype into scalable, production-ready solutions., • Translate business problems into clear, data-driven AI initiatives and communicate outcomes to a broad range of stakeholders., • Contribute to the wider AI and data science roadmap, setting best practice and technical standards.Your Skills and Experience, • Strong commercial experience as a Data Scientist working on end-to-end machine learning projects., • Deep understanding of Generative AI, large language models and their application to text generation or data synthesis., • Advanced Python skills within a data science and machine learning stack, alongside strong SQL capability., • Solid grounding in statistical methods, experimentation and model evaluation., • Experience working with large-scale datasets and modern data platforms., • Ability to explain complex technical concepts clearly to non-technical audiences.What They Offer, • The chance to work on cutting-edge AI and synthetic data problems at global scale., • Clear opportunities for progression and technical influence as the AI function continues to grow., • A collaborative, inclusive environment that supports learning and innovation.How to Apply If this role aligns with your experience and career goals, please apply to discuss the opportunity in more detail.

Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / AppDepartment: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.

Senior Data Scientist.Are you a passionate data scientist with a knack for transforming complex data into actionable insights? Do you thrive in a vibrant environment where your analytical skills can shine? If so, we have an exciting opportunity for you.Our Client:Our client is a dynamic marketing, advertising, and public relations agency committed to delivering innovative solutions to a wide range of high profile clients. With a strong focus on data-driven strategies, our client celebrates creativity, collaboration, and excellence.What You'll Do:As a Senior Data Scientist, you will play an important role in shaping data strategy and driving impactful marketing decisions. Here's what you can expect:Lead Data Projects: Take charge of end-to-end data science projects, from hypothesis generation to model deployment.Collaborate Across Teams: Work closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions.Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth.Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data relatable and actionable.Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We're Looking For:Our client is seeking a talented individual with a blend of technical expertise and a flair for creativity. Here's what you should bring to the table:Experience: Minimum of 5 years relevant experience in data science or a related field, preferably within marketing or advertising.Technical Skills: Proficiency in Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn).Analytical Mindset: Strong problem-solving skills with the ability to interpret complex datasets and derive meaningful insights.Communication Skills: Excellent verbal and written communication skills, with a knack for storytelling through data.Education: A degree in Data Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). What you'll get in returnExciting Projects: Work on diverse and challenging projects that push the boundaries of data science in marketing.Supportive Environment: Be part of a collaborative team that values your input and encourages innovation.Career Growth: Our client invests in your professional development with opportunities for training, workshops, and conferences.

Staff Data Scientist - Paid Marketing London - x2 days a week Up to £113,000 plus bonus and benefitsThis is a fantastic opportunity to join a high-growth, product-led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy.The Company They are a fast-scaling, community-focused digital marketplace with a strong app footprint and a mission-led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale.The Role You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions. Key responsibilities include: Leading the development, maintenance, and optimisation of attribution models for sign-ups and paid activity. Building measurement capabilities, including CLV and LTV modelling for strategic forecasting. Delivering complex, in-depth analysis to explain performance and guide future investment. Partnering with stakeholders across paid, brand, and wider marketing teams. Driving the measurement roadmap and ensuring clarity on key metrics across the business. Providing BAU support while also setting long-term direction.Your Skills and Experience You will bring: Strong SQL skills. Excellent Python capability for developing analytics and attribution models. Proven experience in marketing analytics within an app-based or digital-first environment. Ability to communicate complex measurement concepts clearly to non-technical stakeholders. Experience owning attribution frameworks and performance measurement processes.What They Offer Up to 113k plus benefits How to Apply If you are passionate about building best-in-class measurement for a fast-moving digital brand, apply today to find out more.

Do you have very recent UK Insurance data experience? Hybrid working part City of London based- This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home Insurance products They’ve built the kind of pricing infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we’d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities · Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. · Innovation: Develop new features, tools, and models for advanced pricing sophistication. · Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. · Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile · Extensive skills within Motor Insurance Pricing and Data · Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. · Technical Proficiency: Skilled in data analysis and modelling techniques. · Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities • Deliver data science projects, from problem definition through to actionable insights and presentation of results, • Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes, • Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats, • Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders, • Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making, • Support pre-sales and client engagement, helping to demonstrate the value of data insight, • Follow best practices in data science, reproducible research, and ethical AI, • Collaborate cross-functionally to enhance the company’s products and marketing data solutions What Success Looks Like in the Role • Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes, • Building trust and credibility with clients as an analytical consultant, • Regular iteration on our machine learning methodologies, tools, and frameworks, • Consistent demonstration of technical excellence and commercial insight in all project deliverables, • Measurable contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience • 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy, • Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar, • Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP, • Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering, • Strong command of SQL and familiarity with data engineering environments such as Databricks or similar, • Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma, • Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences, • Commercially aware, with proven success in applying analytics to solve business problems, • Strong communicator; able to engage stakeholders and present findings with clarity and confidence, • Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment, • Willing to travel across the UK for client engagements, • Must have the right to work in the UK and a commitment to ongoing professional development

Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from £550 to £850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team:At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: • Designing and implementing robust models to optimize business operations., • Building and maintaining data pipelines while ensuring effective model performance evaluation., • Experimenting with innovative approaches to translate business challenges into actionable data science solutions., • Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards., • Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: • A solid foundation in machine learning, statistics, and programming., • Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact., • Proven ability to translate complex business problems into clear data science solutions., • Extensive experience using Python for model development and working with large-scale data in distributed computing environments., • Knowledge of strong coding practices, including version control and testing methodologies., • A proactive approach to learning new methods and keeping up with the latest industry developments., • A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued., • Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us?This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference?Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Data Scientist - Time Series ForecastingInside IR356 MonthsHybrig/Remote We're looking for a Data Scientist with a background in time series forecasting to join a growing, high-impact data team. This is an opportunity to work across the full lifecycle of advanced analytics projects, delivering scalable solutions to complex, real-world business challenges. The Role As a Data Scientist, you will: • Lead and contribute across the end-to-end data science lifecycle, from problem definition and research through to deployment and optimization., • Design, develop and scale time series forecasting models to drive business decision-making, • Work cross-functionally with Data Engineers, ML Engineers and product teams to deliver production-ready solutions, • Translate complex data science concepts into clear, actionable insights for both technical and non-technical stakeholders, • Ensure best practices in model performance, explainability, robustness and governance, • Stay at the forefront of emerging techniques, particularly within forecasting and predictive modelling, • Mentor team members and help build technical capability across the team What We're Looking For Essential experience: • Experience in Data Science with a proven track record of solving complex problems, • Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis), • Solid foundation in statistical modelling and machine learning theory, • Proficiency in Python and experience working with large, complex datasets using SQL and Spark, • Ability to manage multiple priorities across a portfolio of projects, • Experience engaging both technical and business stakeholders, • Experience with libraries such as SciPy, Scikit-learn, PyTorch, Keras, • Experience working with cloud platforms and modern data stacks (e.g. Databricks, Azure), • Knowledge of building and deploying large-scale machine learning systems, • Familiarity with Agile delivery environments, • A curious, problem-solving mindset with a focus on delivering real business impact Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Data Scientist - Contract £700-£850 per day | Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: • Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling approaches, • Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets, • Build and deploy machine learning models into production, ensuring scalability and robustness, • Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty, • Analyse patterns, trends, and outliers to identify emerging threats and risk indicators, • Translate business and regulatory requirements into practical analytical frameworks, • Communicate complex findings clearly to technical and non-technical stakeholdersEssential experience:, • Strong Python data science stack (pandas, NumPy, scikit-learn), • Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments, • Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling, • Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases, • Strong grounding in statistics, hypothesis testing, and experimental design, • Experience working with large, complex, and messy data sets, • Experience in life sciences, healthcare, or other highly regulated sectors This is a high-impact contract for a hands-on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments.

Senior Scientific Data Scientist / Pipeline EngineerFully remote but can be hybrid upon request.6 Month Contract likely to extendOutside IR35£450 to £500 per dayThis is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights.The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges.The Role and Deliverables • Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data., • Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting., • Translate scientific workflows into reproducible, automated analysis processes., • Partner closely with laboratory-based scientists to understand experimental design and data requirements., • Improve data structures and analysis readiness across the platform., • Contribute to clear documentation and well-engineered, production-ready code.Your Skills & Experience, • Strong experience using Python for scientific or analytical software development., • Proven capability analysing complex, structured experimental or assay-style datasets., • Solid understanding of statistical modelling, curve fitting, and data quality control., • Experience building end-to-end data or analysis pipelines with a focus on reproducibility., • Comfortable using version control and applying sound software engineering practices., • Able to communicate clearly with both technical and scientific stakeholders.How to ApplyIf you feel this role aligns with your skillset and would like to apply, please click the link below

PRODUCT DATA ANALYST / SCIENTIST UP TO £85,000 HYBRID - LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL Please note, you must be a UK resident and citizen to apply THE COMPANY Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they're now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights. THE ROLE As a Product Data Analyst/Scientist, you will: • Own and drive product analytics, focusing on user behaviour and personalisation., • Deliver insights that directly influence product strategy and experimentation., • Build and maintain dashboards to track product performance and user engagement., • Partner with stakeholders across product and analytics to communicate insights effectively., • Support the business in becoming more data-driven, shaping commercial and product decisions. YOUR SKILLS AND EXPERIENCE • Experience in product analytics, within B2C consumer tech businesses, • Strong SQL skills essential., • Proficiency with data visualisation tools (Looker preferred, open to others)., • Experience with Python desirable., • Product analytics expertise: experimentation, dashboarding, and driving product strategy., • Excellent communication and stakeholder management skills., • Experience influencing product roadmaps and delivering commercial impact. BENEFITS • Opportunity to influence product strategy in a PE-backed, high-growth business., • Work closely with senior leadership, including the Director of Analytics., • Competitive salary plus benefits.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000, • Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks), • CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks), • Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Applied AI Scientist Location: London We're looking for a hands-on Applied AI Scientist to design, build and deploy real-world AI solutions in complex, constrained environments. This is a senior technical role focused on delivery and impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing • Designing, building and deploying AI/ML solutions end-to-end, • Working closely with users to translate real-world problems into technical solutions, • Developing models using production-grade Python, • Deploying AI solutions in secure, offline / air-gapped environments, • Working with GPU hardware for training and inference, • Optimising performance, scalability and system resilience, • Influencing technical direction through delivery and expertise, • Sharing knowledge and supporting continuous learning across the teamWhat we're looking for Essential: • Strong experience as an Applied AI Scientist / Data Scientist, • Excellent Python engineering skills (production-level), • Experience building and deploying AI solutions without reliance on cloud-managed services, • Solid understanding of modern AI/ML techniques, • Experience with GPU-based model training/inference, • Ability to work independently and own delivery end-to-end, • Strong problem-solving skills and stakeholder engagement Nice to have: • Experience in secure or air-gapped environments, • Experience with edge or constrained systems, • Background delivering AI in real-world operational environments, • Ability to influence technical decisions without formal authorityWhy join?, • Work on complex, real-world AI challenges, • High-trust, collaborative environment focused on impact, • Opportunity to shape solutions in cutting-edge, constrained environments If you're a hands-on AI engineer who thrives on solving real problems and delivering impact, apply now. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - London Rate: £407 per day (Inside of IR35) Duration: 12 months Overview • We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business., • This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies., • You'll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling • Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments, • Analyse customer and market data to uncover untapped revenue potential, • Deliver insights to support strategic planning and growth initiatives Customer & Growth Analytics • Build and deploy propensity models to improve acquisition, upsell, and retention, • Develop customer segmentation frameworks to enhance targeting and campaign effectiveness, • Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling • Design, develop, and iterate on predictive models that drive measurable business impact, • Apply statistical and machine learning techniques to large, complex datasets, • Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement • Work closely with Data Engineering teams to productionise models and analytics workflows, • Leverage internal and external datasets to build rich customer intelligence, • Contribute to best practices in data quality, governance, and model monitoring Stakeholder Engagement • Translate complex analyses into clear, actionable insights for senior stakeholders, • Present recommendations to influence commercial strategy, pricing, and product decisions, • Act as a trusted partner across technical and business teams Skills & Experience • Strong experience in data science or advanced analytics roles (typically 5+ years), • Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery), • Proficiency in Python for data analysis, modelling, and experimentation, • Experience building predictive models (e.g. propensity modelling, segmentation, forecasting), • Demonstrated ability to deliver data-driven solutions that impact revenue or growth, • Strong communication skills with the ability to influence non-technical stakeholders, • Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams Nice to Have • Experience in SaaS, subscription-based, or platform businesses, • Exposure to pricing strategy, go-to-market planning, or commercial analytics, • Familiarity with market sizing methodologies, • Experience integrating third-party datasets What We're Looking For • A commercially focused data scientist who prioritises business impact, • Someone comfortable working in ambiguous, fast-paced environments, • A strong communicator who can bridge data, technology, and business strategy Why Join • High-impact role with direct influence on revenue growth and strategic decisions, • Opportunity to work on complex, global data challenges, • Collaborative environment across data, product, and commercial teams Please do send across an up to date CV to *Rates depend on experience and client requirements

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Are you a Senior Data Scientist who's moved beyond traditional modelling into LLMs, GenAI, and production AI systems? I'm hiring for a Senior Data Scientist to join a high-impact AI team within a leading consumer-focused organisation. This is a hands-on, end-to-end AI role working on large, complex, unstructured problems - building real products, not proof-of-concepts. The company A well-established organisation in the consumer health / insurance space, offering products that combine financial services with incentives for healthier living (including subscription-led rewards models). Data and AI are central to how the business operates, with strong investment and leadership visibility - giving this team real ownership over innovative, business-critical solutions. Where you fit You'll sit within a specialist AI team, working alongside both classical data scientists and AI engineers. This team focuses on: • LLMs, GenAI, and agentic workflows, • Solving unstructured, complex problems, • Building AI products used across underwriting, claims, customer experience, and more Expect to work on 1-2 major projects, with high-impact, end-to-end ownership. What you'll be doing • Build and deploy LLM-based applications, including RAG systems, chatbots, and agentic workflows, • Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate, • Design and deliver end-to-end AI systems from discovery to production, • Develop agentic workflows across areas like underwriting and claims, • Work closely with business stakeholders to define requirements and shape solutions, • Deploy models using modern MLOps practices (APIs, microservices, CI/CD, containers), • Collaborate with engineers, product teams, and senior stakeholders across the businessTech stack, • Python & SQL (essential), • GCP (preferred, but flexible depending on experience), • LLMs / GenAI / RAG / agentic frameworks (LangChain, LlamaIndex etc.), • MLOps tools: Git, CI/CD, Docker, Kubernetes, APIsWhat you bringCore requirements, • 5+ years in data science / machine learning, • Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling), • Hands-on experience with LLMs / GenAI / NLP / AI systems, • Experience deploying models into production (not just experimentation), • Familiarity with MLOps, CI/CD, and containerisation, • Strong stakeholder skills - comfortable working with department heads and leading projectsNice to have, • Experience in regulated industries (insurance, finance, etc.), • Customer-focused product experience, • Strong academic background in a quantitative field, • Exposure to building agentic workflows or RAG systems in productionWhy this role, • Work on real AI products, not just experimentation, • End-to-end ownership across modelling, deployment, and impact, • Exposure to cutting-edge GenAI and agentic systems, • Highly collaborative, cross-functional environment, • Strong visibility across the businessInterview process, • 30-minute culture fit interview, • Technical interview (solution design + deployment / ML discussion), • Final interview with senior leadership (CDO)Working style, • 2 days per week in London (flexible for Midlands candidates), • Ideally Tues/Weds in office, • Cross-functional, collaborative environment with strong stakeholder interaction

Senior Data Science Consultant£60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing • Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle, • Working closely with clients to understand business challenges and deliver innovative, data-driven solutions, • Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements, • Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling, • Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment, • Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development, • Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities, • Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring • Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment, • Strong knowledge across the ML lifecycle and advanced analytical methodologies, • Passion for demonstrating how Agentic AI and GenAI can unlock business value, • Excellent stakeholder management, communication and presentation skills, • Experience helping clients derive actionable insights from complex data, • Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: • Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks, • Programming Languages: Python, R, PySpark, • Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

High Level Overview I am looking for candidates with proven experience driving AI adoption across a business (Copilot, ChatGPT, Claude or similar). This is not a Data Scientist/AI Engineer position. If you have helped organisations identify AI use cases, implement governance, train users and turn AI into measurable business outcomes, please review the rest of the role details below and contact me ASAP if interested: Lorenz Pasch at Hays Recruitment | Full contact details are available on my LinkedIn profileUnfortunately, no sponsorship options are available for this opportunity.Full role details: I am partnering with a leading UK organisation looking to hire a Technology AI Business Partner into a newly created role focused on driving AI adoption across the business. The challenge: AI tools are already being introduced into my client. This role exists to ensure adoption is structured, secure and delivers genuine value. You will be responsible for: • Partnering with business teams to identify practical AI use cases, • Translating business challenges into AI-enabled solutions, • Supporting adoption of tools including Copilot, ChatGPT, Claude and other emerging technologies, • Delivering training, guidance and best practice sessions, • Supporting AI governance, risk management and responsible usage, • Assessing new AI capabilities within existing technology platforms, • Tracking benefits and demonstrating business value The successful candidate will have: • Experience delivering AI adoption or digital transformation initiatives, • Strong business partnering/stakeholder management skills, • Ability to explain AI concepts to non-technical audiences, • Experience creating structure in fast-moving technology environments, • Understanding of AI governance, compliance and risk considerations Suitable backgrounds may include: • AI Adoption Specialist, • Technology Business Partner, • Digital Transformation Consultant, • AI Consultant, • Product Owner, • Business Analyst with strong AI exposure Location: London (4 days per week on-site) Strong benefits package: 15% pension, bonus, share scheme and wider incentives Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks), • CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks), • Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. HTML Essentials (6 weeks) CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

DATA SCIENTIST (PRICING) £480 - £530 PER DAY OUTSIDE IR35 HYBRID (1-2 DAYS PER MONTH IN THE OFFICE - LONDON) 7 MONTH CONTRACT THE COMPANY: Join a global media business with a key focus on improving commercial visibility, pricing strategy, and revenue management processes. THE ROLE: As a Data Scientist, you will work closely with commercial stakeholders across a specific European market to help shape and deliver revenue management and pricing analytics solutions. Each market is at a different stage of maturity, meaning this role will combine structured delivery work with more exploratory and discovery-led problem solving. You will be responsible for translating commercial questions into analytical requirements, building dashboards and reporting solutions, and supporting wider pricing and revenue optimisation initiatives. As a Data Scientist, your key responsibilities will include: • Building analytical solutions to support pricing and revenue management decisions, • Developing dashboards and reporting outputs in Tableau, • Writing complex SQL scripts and exploratory analyses, • Conducting advanced analysis around pricing, inventory demand, capacity forecasting, and commercial performance, • Working with stakeholders to understand business challenges and translate them into data requirements, • Supporting the creation of tools and frameworks that influence pricing decisions across multiple markets, • Collaborating within an agile squad environment alongside Data Scientists, Analytics Engineers, and commercial stakeholders, • Presenting findings to both technical and non-technical audiences YOUR SKILLS AND EXPERIENCE: The successful candidate will have: • Strong hands-on SQL experience, • Strong Tableau experience, • Python experience for advanced modelling, forecasting, optimisation, or exploratory analytics, • Experience working on pricing, revenue management, commercial analytics, or forecasting projects, • Strong stakeholder management and communication skills, • Experience working closely with commercial or operational teams, • The ability to translate business problems into analytical solutions, • Experience working within agile squads and cross-functional environments, • Comfort working with ambiguity and helping shape early-stage analytical initiatives, • Experience within media or advertising environments would be highly beneficial HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page.

Applied Data Scientist - Commercial Analytics & Market Intelligence Initial 6 month contract | London or Reading - hybrid working | £350pd-£435pd inside IR35 We're partnering with a global organisation seeking a Data Science Engineer to play a key role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment working closely with Product Marketing, Sales Strategy, Data Engineering and senior business stakeholders to identify untapped market opportunities and optimise commercial performance through advanced analytics and scalable data solutions. What you'll be doing: • Design and deliver sophisticated rSAM (Remaining Sales Addressable Market) models to quantify untapped revenue opportunities across global education markets., • Partner with commercial and product stakeholders to understand complex education-sector dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours., • Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs., • Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies., • Deliver strategic insights and market opportunity analysis to senior leadership, supporting commercial planning and data-driven decision making., • Translate complex analytical findings into clear, actionable business recommendations for both technical and non-technical audiences. What they're looking for: • Experience within Data Science, Analytics Engineering or Commercial Data environments., • Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms., • Strong Python skills for data manipulation, statistical analysis and predictive modelling., • Proven experience developing and optimising predictive analytics or revenue-driving data science models., • Experience with propensity modelling or customer growth modelling would be highly beneficial., • Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences., • Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders. This role would suit someone who enjoys combining deep technical data expertise with commercially focused problem solving and strategic business impact.

Trainee Coding Programme – No Experience Needed Future-proof your career in Coding – starting today. Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Coding Job Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. Train online at your own pace and land your coding role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Step 1 - HTML and CSS Online Training The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials, • CSS Essentials, • Tailwind The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 - Online Training The second step includes a selection of more advanced courses to get you up to speed. • React-js, • JavaScript JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture, • Collaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Proven ability to lead work independently and take ownership of outcomesTechnologies you'll encounter The environment evolves, but typical tools include: • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations, • Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Laboratory Validation Officer / Analytical Chemist As part of a significant operational expansion we are delighted to be exclusively partnering with a market leading global brand and supporting the hire of a new Laboratory Validation Officer. The successful hire will focus predominantly on method validation activities from bench to HPLC. There may be the need for some degree of method development. Working in a small team this role must have independent and “can do” focus. The opportunities in the business for development and progression are strong and they welcome a proactive and ambitious attitude. For further details please contact Mark Bux-Ryan Key experience • Previous experience in method validation of HPLC, • Pharmaceutical (or healthcare/nutraceutical) GMP experience, • Any method development experience is advantageous, • Problem solving mindset with ability to work independently laboratory, validation, method, HPLC, development, transfer, chromatography, liquid, pharmaceutical, research, analytical, scientist

Senior AI Engineer (LLM/Agentic AI) | London (Hybrid) | £600–£700/day | Outside IR35 | 6 months Role: Senior AI Engineer (LLM/Agentic AI) Location: London (Hybrid – 1 day per week onsite in Victoria) Rate: £600–£700 per day IR35 Status: Outside IR35 Duration: 6 months (extension likely) Project Overview You'll join a major AI transformation programme within a global organisation focused on building production-grade AI systems at scale. The initiative spans both customer-facing AI products and internal business transformation, with a strong emphasis on delivering systems that are deployed, used, and continuously improved. We're seeking a Senior or Lead Machine Learning Scientist to design, build, and deploy AI agents and LLM-powered systems in real-world production environments. The team is building next-generation AI solutions using Large Language Models, Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent automation to drive measurable business outcomes. Skills & Responsibilities • Build and deploy production-grade AI agents and LLM-powered applications., • Design agentic workflows using LangChain, LangGraph, MCP, FastMCP, or similar frameworks., • Develop and optimise Retrieval-Augmented Generation (RAG) systems., • Integrate AI solutions into products, APIs, and business workflows., • Work with AWS, Azure, or GCP to deploy scalable AI systems., • Contribute to recommendation, classification, forecasting, and automation initiatives., • Strong Python development experience and production software engineering skills., • Proven track record shipping LLM-based solutions into production environments. Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting Senior AI Engineer (LLM/Agentic AI) | London (Hybrid) | £600–£700/day | Outside IR35 | 6 months

Data Scientist / Machine Learning Scientist Hybrid – London( 3 days office-2 days remote ) Rate 500-550 Outside IR 35 Contract 6 months initially Build Production-Grade AI Systems at Scale We’re Looking for AI Builders — Not Just Experimenters If you’ve deployed real-world LLMs, built autonomous AI agents, and engineered scalable AI systems that people actually use, this is the opportunity to shape the future of AI across a global organisation. We’re building next-generation AI capabilities across both: • AI-powered SaaS / B2B products, • Enterprise-wide AI transformation initiatives You’ll work on high-impact systems that automate workflows, enhance decision-making, and deliver measurable business value at scale. What You’ll Build You’ll design and deploy intelligent AI systems powered by: • Large Language Models (LLMs), • Agentic AI frameworks, • Retrieval-Augmented Generation (RAG), • Multi-agent orchestration, • Tool-using autonomous workflows This is a hands-on engineering role focused on production delivery, scalability, reliability, and business impact. Your Work Will Include • Building AI agents with reasoning, planning, memory, and tool orchestration, • Developing advanced RAG pipelines and context-aware AI systems, • Designing MCP-style architectures and interoperable AI workflows, • Creating recommendation, forecasting, and classification models on large-scale datasets, • Automating complex business operations using AI-driven decision systems, • Integrating AI into APIs, enterprise platforms, and customer-facing products, • Optimising latency, inference performance, observability, and cost efficiency What We’re Looking For We want engineers and scientists who can take AI from concept to production. Strong Experience In • LLMs, GenAI, and Agentic AI systems, • LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks, • RAG pipelines and vector databases, • AI agents and multi-agent orchestration, • Python, PyTorch, TensorFlow, Scikit-learn, • Cloud AI platforms such as AWS, Azure, or GCP, • Production deployment, MLOps, and scalable AI infrastructure, • API integration and workflow automation Bonus Points For • MCP / Model Context Protocol experience, • Fine-tuning and evaluation frameworks, • Recommendation systems and forecasting models, • Real-world enterprise AI transformation experience, • Experience balancing model quality, latency, and operational cost Why Join US? • Work on AI systems used at global scale, • Join a production-first AI engineering culture, • Build technology that directly impacts products, operations, and business strategy, • Collaborate with strong engineering, product, and data teams, • Influence how enterprise AI is designed and deployed across a global organisation If you enjoy solving complex problems, deploying real AI systems, and building beyond prototypes, this role offers the opportunity to make a genuine impact.

A global lifestyle brand is seeking an Marketing Data Scientist to support its global marketing effectiveness strategy. In this role, you will help expand and optimise data science models across markets, delivering insights that guide smarter media investment and drive performance across channels. Responsibilities • Develop and maintain marketing models to measure channel performance, • Analyse multi-channel marketing data to identify performance drivers and ROI, • Support model rollout in new countries and monitor ongoing performance, • Collaborate with marketing, analytics, and data engineering teams to ensure accurate data inputs, • Continuously refine modelling approaches and explore new methodologies, • Translate complex modelling outputs into clear, actionable insights, • Present findings to senior stakeholders through compelling storytelling, • Build dashboards and visualisations to monitor marketing performance, • Contribute to optimising media planning using MMM outputs Requirements • Experience in econometric modelling and advanced analytics, • Strong Python/SQL skills are essential, • Familiarity with MMM and MTA tools (e.g., PyMC, Robyn, Meridian), is preferred, • Understanding of marketing channels, metrics, and retail/luxury environments, • Experience with cloud platforms (AWS, GCP, Snowflake), • Ability to work cross-functionally and communicate complex concepts clearly, • Knowledge of incrementality testing (e.g., GeoLift) is a bonus Details • Start date: ASAP, • Contract: 12 Month FTC, • Salary: £70,000-£80,00 per annum, • Location: Hybrid, 2-3 days per week in London

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Join Our Client as a Data Scientist! Location: Hybrid Contract Type: Fixed Term Contract (6 Months) with Possible extension Are you a data enthusiast with a flair for turning complex data into actionable insights? Do you want to make a tangible impact in the retail industry? If so, we have the perfect opportunity for you! Our client, a leading organization in the retail sector, is on the lookout for a talented Data Scientist to join their dynamic team. About the Team: • At our client’s organization, the Data Science team is at the forefront of innovation., • They tackle some of the most complex business challenges across various domains, including customer experience, supply chain, marketing, and technology., • By applying advanced machine learning techniques, generative AI, and large language models, they enhance pricing strategies, optimize store operations, and personalize customer interactions., • This is a collaborative environment where team members rotate across different domains, expanding their skills and impact. As a Data Scientist, you will: • Develop and deploy machine learning solutions that enhance decision-making and improve customer service., • Design and implement robust models while experimenting with new approaches.. This includes building data pipelines and models, evaluating model performance both statistically and in terms of business impact, and scaling solutions into production., • Translate business problems into effective data science solutions, including building data pipelines and evaluating model performance., • Collaborate with Machine Learning Engineers and Software Engineers to ensure efficient, maintainable solutions that align with organizational technology standards., • Communicate complex ideas clearly to non-technical stakeholders, contributing to knowledge sharing within the organization and representing them in the external data science community. What You’ll Need: • A solid foundation in machine learning, statistics, and programming., • Intellectual curiosity and critical thinking skills, with a scientific mindset focused on achieving business impact., • The ability to translate challenging business problems into clear data science solutions., • Extensive experience in designing and implementing models using Python, particularly in large-scale distributed computing environments., • Strong coding practices, including version control and testing., • A proactive approach to learning new methods and contributing to a culture of collaboration., • A higher degree in a quantitative discipline (e.g., Mathematics, Computer Science, Engineering, or Physics) is preferred, though equivalent experience is also valued., • Hands-on experience with advanced machine learning libraries. Why Join Us? • Impactful Work: Your contributions will directly influence business decisions and customer experiences., • Dynamic Environment: Enjoy a culture of innovation and continuous learning., • Collaborative Team: Work alongside passionate professionals who are eager to share knowledge and support one another., • Career Growth: Gain exposure across various domains and expand your expertise. If you’re ready to take on this exciting challenge and make a difference in the retail industry, we’d love to hear from you! Apply now and become a part of our client’s journey toward data-driven excellence! Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Do you want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than a typical delivery-focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance. Key Responsibilities • Build and optimise predictive models including propensity and scoring models, • Prototype new analytical products using Databricks notebooks, • Define product-level features, scoring logic and model outputs, • Conduct data discovery and exploratory analysis across large customer datasets, • Work closely with Product Managers and Analysts to shape new product capability, • Present insights and model outputs to internal and external stakeholders, • Evaluate emerging AI and machine learning techniques for product innovation Key Details • Salary: Up to £65,000, • Location: Hybrid (minimum 2 days in London), • Tech stack: Python, SQL, Databricks, Azure, • Sponsorship: Cannot sponsor Interested? Please apply below.

Entrust Identity Verification — Powering the systems behind digital trust. At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide. About the Team: You’ll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and a massive proprietary dataset of images and videos. The team partners closely. Position Overview: We’re looking for an Applied Scientist Lead - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB) that run on mobile devices on the other. The ML space here is exciting: better vision-language models enable better and more general extraction, and techniques like distillation and quantisation allow models to become smaller and smaller. We expect this role to be hands-on for about 50% of your time—making contributions to the codebase helps you deliver better feedback as well. What you will be doing: • Define the team's roadmap together with product and engineering leads., • Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities., • Manage a team of 6 Applied Scientists., • Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code., • Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning., • Publish research results in national and international conferences and scientific journals. You may be a good fit if you: • Have 2+ years of experience leading a team of ML scientists or research engineers., • Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer., • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch. Strong candidates may also have: • Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning., • Published at top-level machine learning conferences., • Experience optimizing (distributed) training code. Where you will be: London, UK (Hybrid – 3 days in office) Why join us? Solve problems that matter—at scale. At Entrust, we combine cutting-edge research with a deeply product-oriented culture—where ideas don’t stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale—from deepfakes and synthetic identities to sophisticated spoofing attacks. You’ll lead teams, shape ML direction, and build models that must perform in the real world—under adversarial conditions, across global systems, and with real consequences. If you’re motivated by turning advanced research into production-grade systems—and pushing the frontier while doing it—this is the kind of work worth doing. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123 Updated 5/21/2026 At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team: • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority., • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle., • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.

London | Full-time | Hybrid (2 days in office) About GOCAP GOCAP is building a different kind of lender. We provide salary-linked personal loans designed around real affordability and repayment sustainability. We are live in market, growing quickly, and using data to improve how lending decisions are made. This is a hands-on role within a small team where your work will directly influence underwriting, pricing, portfolio performance and customer outcomes. We are looking for someone analytical and pragmatic. The role is more than just building good models. We value practical, explainable and operationally effective credit risk solutions that drive strategic value to the business. You will have key input in this process. The role You will work closely with the VP of Credit across credit lifecycle, helping to develop and improve the analytical approaches that drive our lending decisions. This includes building models, analysing performance, and identifying opportunities to improve how we assess and manage risk in practice. What you’ll do • Work within AWS-based production environments, including testing, maintaining and supporting changes across credit decisioning workflows and Lambda-driven processes, • Analyse originations, arrears, defaults, cures and portfolio trends, • Build and improve credit risk and decisioning models with bureau, open banking and internal lending data, • Analyse and maintain structured loan and portfolio data tapes, • Produce clear, decision-ready insights from imperfect or incomplete datasets, • Support implementation and refinement of underwriting strategies, • Build monitoring and reporting to track model and portfolio performance, • Work closely with risk, product and engineering to operationalise changes, • Investigate data quality, segmentation and performance issues, • Support model governance, validation and documentation What we’re looking for • 5+ years building, calibrating and productionising credit risk models in live decisioning environments, with demonstrated experience beyond traditional scorecard methodologies (e.g. machine learning, hybrid/ensemble or data-driven segmentation approaches), • 3+ years’ experience working within AWS-based decisioning environments, including testing and supporting changes across production workflows and services such as Lambda., • 2+ years’ experience working in lending or live credit decisioning environments, • Advanced Python and SQL skills are mandatory, • Experience working with real-world and imperfect datasets, • Understanding of underwriting, scorecards, portfolio analytics or risk strategy, • Strong analytical and problem-solving skills, • Ability to explain analysis clearly and commercially, • Comfortable working in a fast-moving environment with high ownership Particularly valuable • Experience in fintech or bureau functions, • Hands on experience in analysing bureau and transactional data e.g. open banking), • Experience implementing or monitoring production credit models, • Understanding of lending trade-offs beyond pure model performance metrics, • Familiarity with model monitoring, segmentation and performance stability, • Ability to challenge assumptions and defend analytical reasoning constructively What to expect • A small, fast-moving and highly collaborative environment, • Direct exposure to live lending decisions and portfolio performance, • High visibility and ownership from day one, • Opportunity to help shape how a growing lender uses data in decisioning Apply Please send your CV along with a short note outlining: • the type of analytical work or models you have implemented, • your experience in working within AWS-based environments, • your relevant lending or credit risk experience, • and why the role interests you Please note: You must have the right to work in the UK. We are unable to provide visa sponsorship.

Do you want to build production AI systems used by millions of insurance customers? Have you deployed LLM applications into complex enterprise environments before? Are you ready to help scale a growing GenAI function inside one of the UK’s biggest insurers? A major UK health and life insurance provider is hiring a Senior Data Scientist (AI) on a 12-month FTC basis to support a rapidly growing AI function focused on GenAI products and operational automation. The team is building production-grade AI applications across underwriting, customer journeys, internal operations, and sales enablement. The role sits within a growing AI team delivering live LLM applications and intelligent automation systems. You’ll work on high-impact products with strong internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary You’ll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools. Key Responsibilities • Build and deploy production-grade AI applications, • Develop LLM, RAG, and agentic AI systems, • Deploy applications into GCP environments, • Work closely with cross-functional business stakeholders, • Improve scalability, reliability, and AI deployment workflows, • Build APIs, backend services, and production pipelines, • Support AI integration into enterprise systems Key Details • Salary: £75,000–£90,000 base, • Bonus: 16%, • Working model: Hybrid, 2 days per week in London office, • Contract: 12-month FTC (maternity cover), • Tech stack: Python, GCP, APIs, Docker, Kubernetes, CI/CD, LLMs, RAG, LangChain/LlamaIndex, • Sponsorship: Cannot sponsor Interested? Please apply below.

About Magentic At Magentic, we’re building AI systems that can autonomously run complex procurement and supply chain workflows for some of the world’s largest companies. We’re tackling a genuinely hard real-world problem, helping global manufacturing supply chains become more resilient in an increasingly unpredictable world. It’s a massive space with huge untapped potential for AI. We’re an early-stage company backed by Sequoia Capital, with a team bringing experience from OpenAI, Meta, Revolut, NASA and McKinsey & Company. We’re looking for a Data Scientist to help us apply LLMs and AI tooling to large-scale, messy, real-world datasets, solving operational problems where the answers aren’t obvious and the impact is very tangible. The Role This is not a traditional analytics or engineering role. We’re looking for someone who enjoys working deeply with data, experimentation, AI tooling, and problem solving, someone comfortable using Python, notebooks, LLMs, and structured thinking to solve non-trivial operational challenges. You’ll work on applying AI models and data science approaches to complex enterprise datasets, helping uncover insights, automate workflows, and prototype intelligent systems quickly. The ideal person is highly curious, pragmatic, and comfortable operating in ambiguity. You don’t need to be a production software engineer, but you do need to be technically capable, thoughtful, and able to independently execute meaningful work. What You’ll Do: • Work with large, messy, real-world enterprise datasets, • Apply LLMs and AI tooling to operational and analytical problems at scale, • Build data workflows and experiments using Python and Jupyter notebooks, • Run and analyse large-scale queries and model outputs, • Prototype and iterate quickly on AI-driven approaches, • Work closely with product, engineering, and founders on exploratory projects, • Translate ambiguous problems into structured investigations and solutions, • Help shape how AI is applied across procurement and supply chain workflows You Might Be a Great Fit if You: • Have 3+ years of hands-on experience in data science, applied AI, analytics, or similar work, • OR a strong academic background (e.g. Master’s in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Physics, etc.) combined with 1–2 years of industry experience, • Strong Python skills, • Experience working in Jupyter notebooks, • Familiarity with LLMs, AI tooling, or applied machine learning workflows, • Strong analytical and problem-solving ability, • Comfort working independently on open-ended problems, • Ability to work pragmatically rather than over-engineering solutions, • Curiosity and enthusiasm for AI-native ways of working Bonus Points: • Experience applying LLMs to real-world datasets, • Experience with vector databases, embeddings, or retrieval systems, • Exposure to operational or enterprise data environments, • Background in highly analytical disciplines such as medicine, physics, maths, or engineering Compensation And Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: • Competitive Equity: play a real part in Magentic’s upside, • A salary of £60-70k, • Enhanced parental leave, • 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown, • In-office lunches provided, • Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues, • Salary sacrifice pension and nursery schemes, • Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc), • Annual team retreat—a fully-funded off-site to recharge, bond, and build Our Interview Process There are a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. • Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role., • Skills interview (60 mins with some prep): in this step, we'll ask you to present some of your work to us and discuss it., • In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, a role-specific task and a discussion of your work with the team. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.

Semantic AI & Knowledge Graphs About Depixen Depixen is a London-based technology company building the digital decision infrastructure of the construction industry. As a corporate member of the World Wide Web Consortium — W3C, Depixen develops Linked Data architectures, domain-specific taxonomies, ontologies, RDF-based data structures, and knowledge graph infrastructures for construction, architecture, and building products. We work with fragmented and highly contextual industry data: product catalogues, technical documents, standards, materials, suppliers, projects, events, images, and user interactions. About the Role We are looking for a Senior Data Scientist to help build intelligent data systems for classification, enrichment, entity resolution, semantic search, recommendation, and knowledge graph-connected AI applications. This is not a conventional data science role. You will work at the intersection of machine learning, semantic data modelling, information retrieval, knowledge graphs, and real-world construction product data. Your work will help turn fragmented industry data into reliable, contextual, and explainable decision intelligence. Responsibilities • Develop machine learning and data science systems for classification, extraction, enrichment, matching, recommendation, and semantic search., • Work with structured, semi-structured, unstructured, and graph-connected data., • Build entity extraction, entity resolution, deduplication, and similarity-matching workflows., • Connect AI outputs with taxonomy, ontology, RDF, and knowledge graph layers., • Design evaluation, benchmarking, validation, and error-analysis processes., • Improve data quality, consistency, explainability, provenance, and semantic alignment., • Collaborate with engineering, product, and domain teams to turn business requirements into scalable technical systems., • Support the development of production-grade semantic AI and decision-support systems. Required Qualifications • Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, Mathematics, Statistics, or a related field., • 4+ years of hands-on experience in data science, machine learning, information retrieval, NLP, knowledge graphs, or related AI/data fields., • Strong Python skills., • Experience developing, testing, deploying, and monitoring data science or machine learning models., • Experience with structured, semi-structured, and unstructured data., • Practical experience in several of the following areas:, • classification, • entity extraction, • entity resolution, • semantic enrichment, • recommendation systems, • semantic search, • information retrieval, • NLP, • data quality automation, • Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis., • Ability to document technical work clearly and communicate across technical and non-technical teams., • Interest in semantic web technologies, knowledge graphs, ontologies, taxonomies, or linked data. Preferred Qualifications • Master’s or PhD in Computer Science, AI, Data Science, Machine Learning, NLP, Semantic Web, Knowledge Graphs, or a related field., • Experience with RDF, OWL, SPARQL, SHACL, SKOS, JSON-LD, schema.org, ontologies, taxonomies, or Linked Data., • Experience with graph databases or triple stores such as GraphDB, Stardog, Neo4j, Amazon Neptune, or Blazegraph., • Experience with embeddings, vector databases, RAG, LLM-based enrichment, or knowledge graph completion., • Experience with MLOps tools such as Docker, Kubernetes, MLflow, Weights & Biases, Airflow, or similar., • Experience with AWS, GCP, or Azure., • Experience in construction, architecture, BIM, building materials, technical product data, catalogues, standards, or compliance-heavy data systems., • Contributions to open-source projects, academic publications, or applied research are a plus. Problem Areas You may work on: • construction product classification and enrichment;, • entity resolution for products, suppliers, events, venues, organizations, and technical concepts;, • semantic search and recommendation systems;, • extraction of structured data from catalogues, PDFs, websites, and technical documents;, • knowledge graph-connected AI workflows;, • data quality, explainability, provenance, and validation systems. Why This Role Is Different Construction data cannot be understood through statistical patterns alone. The meaning of a product, material, document, technical value, supplier, or project depends on its relationship to standards, classifications, specifications, and domain knowledge. At Depixen, data science outputs are not isolated predictions. They are connected to verified data, semantic classification, ontology, RDF, and knowledge graph layers. This role is about building reliable, contextual, explainable, and machine-interpretable AI systems for one of the world’s most complex industries.

AWS Data Engineer – Top Investment Bank Location: London Hybrid: 2/3 days per week in London office Contract: 6 - 12 Month Initial Contract (View to be extended) Must Have: Financial Services / Front-Office Experience About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting the business in a unique hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with technology trends and want to make a difference in a globally respected financial institution, this role is for you. The successful AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks. This is a rare project offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For • Hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools., • Experience engineering in a front-office/capital markets environment., • Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security., • Proficiency in data processing and analysis using Python and SQL., • Experience with data governance, data quality, and data security best practices., • Strong knowledge of market data and its applications., • Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments. Nice to Have • Experience with other data engineering tools and technologies., • Knowledge of Machine Learning / AI and data science concepts. Accountabilities • To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure., • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data., • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures., • Development of processing and analysis algorithms fit for the intended data complexity and volumes., • Collaboration with data scientist to build and deploy machine learning models.

Senior Data Scientist – Computational Biology & Drug Discovery Drug Discovery | Multi-Omics | Machine Learning Location : London, UK (Hybrid) About the Role We’re partnering with an innovative TechBio company at the intersection of computational biology, machine learning, and drug discovery. The team is building advanced computational approaches to better understand human biology and accelerate therapeutic discovery across complex diseases. This role is ideal for a scientifically grounded data scientist with a strong computational background who thrives on interpreting machine learning outputs in a biological context — not just building models, but extracting meaningful biological insight that can influence discovery decisions. What You’ll Be Doing • Analyse complex biological and multi-omics datasets, • Apply ML and statistical modelling to drug discovery challenges, • Interpret model outputs in a biological context, • Work with pathway databases, knowledge graphs, and large-scale biological data, • Collaborate with computational biology and data science teams What We’re Looking For • Strong background in Data Science, Computational Biology, Bioinformatics, Statistics, Computer Science, Physics, Mathematics, or related fields, • Experience in biotech, pharma, drug discovery, or TechBio, • Strong Python and/or R skills, • Experience with ML applied to biological data, • Familiarity with genomics, single-cell, spatial, proteomics, or multi-omics data, • Experience with Reactome, KEGG, OpenTargets, STRING, or similar databases is a plus, • Strong critical thinking and ability to interpret ML outputs biologically Preferred Background • Production or implementation experience, • Multi-modal / cross-modality biology experience, • Exposure to LLMs or AI agents Interested? If you’re excited by the opportunity to combine machine learning, computational biology, and translational science to drive real-world therapeutic discovery, we’d love to hear from you. Apply directly or reach out for a confidential discussion.

Data Scientist – MRO AI Solutions (Embedded in BA) 06 Months contract We are looking for an experienced Data Scientist to join a high-impact MRO AI Solutions initiative embedded within British Airways operations. This is a premium-level opportunity for someone who can combine deep AI/ML expertise with strong business consulting capabilities to deliver scalable, production-ready solutions across airline operations. 🔹 Role Responsibilities • Design and deploy predictive & prescriptive AI/ML models, • Perform exploratory data analysis and advanced feature engineering, • Collaborate closely with Data Engineering teams for model-ready datasets, • Translate analytical insights into business impact and operational improvements, • Continuously optimize model performance in production environments, • Build reusable AI components that can scale across multiple OpCos with minimal rework 🔹 Required Skills & Experience • Strong Python expertise with TensorFlow / PyTorch, • Advanced statistical, analytical, and problem-solving skills, • Experience across ML, Optimization, Simulation, GenAI, and related Data Science domains, • Proven experience taking models from design to production deployment, including monitoring and workflow integration, • Ability to integrate quickly into new teams and deliver immediate value, • Experience in airline operations or supply chain analytics is highly desirable, • Willingness for initial co-location with BA teams in London and international travel during deployment phases 🔹 Preferred Consulting-Level Competencies • Strong executive communication and storytelling skills, • Experience in transformation or consulting-led engagements, • Track record of delivering measurable business outcomes, • Experience developing reusable enterprise-scale AI frameworks and solutions 💼 Compensation Premium-level role with competitive compensation aligned to UK consultancy benchmarks. 📍 Initial location: London (co-located with BA teams) If you’re passionate about applying AI to complex operational environments and delivering enterprise-scale impact, we’d love to connect.

We're partnered with a boutique financial consulting firm seeking experienced Data Scientists to join their growing data practice in London. Known for their collaborative culture and high-impact work with leading financial institutions, this is a rare opportunity to take ownership of complex data science challenges while shaping the direction of a high-performing team. You'll lead end-to-end delivery of machine learning solutions - from early proof-of-concept through to production - working alongside engineers, domain experts, and business stakeholders across the financial services sector. What you'll be doing: • Taking ownership of data science projects from initial concept and rapid prototyping through to live production deployment, • Building and iterating on machine learning models that address real-world business problems across financial services, • Partnering with engineering, business, and domain teams to bridge the gap between commercial goals and technical solutions, • Serving as the go-to expert on ML system design, model tuning, and bringing solutions to production at scale What we're looking for: • Proven ability to build and ship production-ready data science solutions using Python and the wider ML ecosystem, • Deep practical knowledge of applied machine learning, spanning model development through to data engineering, • Comfortable working across major cloud platforms (Azure, AWS or GCP) with hands-on exposure to tools like Spark, Hive or Redshift, • A track record of leading cross-functional teams and communicating technical concepts to non-technical audiences, • Experience with MLOps practices - CI/CD, model monitoring, DevOps integration ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • 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 Linkedin Learning 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 in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

We are working with a range of ambitious AI startups looking to hire exceptional AI researchers and engineers for application and research-focused roles. These opportunities span cutting-edge work across computer vision, audio, speech, NLP, multimodal AI, robotics, foundation models, and applied machine learning. Roles are available across early-stage and scaling startups, with teams building real-world AI products as well as advancing core model research. We are looking for candidates with: • A PhD in AI, machine learning, robotics, computer science, or a related technical field, • Research or engineering experience in vision, audio, language, robotics, multimodal systems, or deep learning, • Strong publication record, applied ML experience, or hands-on model-building expertise, • Interest in joining high-growth startup environments, • Ability to move between research, experimentation, and production impact Typical roles include: • AI Research Scientist, • Machine Learning Engineer, • Applied AI Engineer, • Computer Vision Researcher, • Speech / Audio AI Researcher, • NLP / LLM Researcher, • Robotics Researcher / Engineer, • Multimodal AI Scientist If you are an AI PhD looking to explore opportunities with innovative startups, or you know someone who might be a fit, I’d be happy to connect. Apply or reach out directly to learn more.

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

Data ScientistLondon1 Day a Week In OfficeOutside IR35£400-£520 Per DayImmediate StartThe Company They are a data-driven organisation with a strong focus on using analytics to inform commercial and customer-focused decisions. Data and decision sciences play a central role across multiple functions, with close collaboration between analytics, finance and customer engagement teams. The business values robust, well-documented solutions that are actively used by stakeholders. This contract supports ongoing delivery and knowledge transfer within the data function.The Role and Deliverables • Take ownership of an existing retention model, ensuring accuracy, reliability and ongoing business adoption., • Review model performance, data dependencies and assumptions, documenting any changes made during the contract., • Build and maintain clear reporting to provide visibility of model outputs and business impact., • Work closely with lifecycle and engagement teams to embed model outputs into decision-making processes., • Own and stabilise an existing anomaly detection solution, addressing bugs, gaps or reliability issues., • Deliver clear handover documentation outlining model status, limitations and recommended next steps.Your Skills & Experience, • Strong experience building, maintaining and productionising data science and machine learning models., • Confident working with Python in a modern analytics or data science environment., • Solid SQL skills and experience using transformation frameworks such as dbt., • Experience working with cloud-based data and ML platforms such as Databricks., • Comfortable owning existing models, improving reliability and driving stakeholder adoption., • Familiarity with version control using Git., • Exposure to customer analytics, retention modelling or anomaly detection is beneficial.How to Apply Apply below if you feel this contract would be a strong fit for your skills and experience.

Your new companyHays have been exclusively retained by an innovative, growing biotech in London to hire an experienced Lead Automation Engineer into their R&D team. You'll work within a multidisciplinary team of scientists, engineers, and data specialists, contributing to the development of cutting-edge translational research platforms as the company builds its capacity.Your new roleAs a Senior/Lead Automation Engineer, you will take technical ownership of laboratory automation systems, focusing on the optimisation and reliability of liquid handling platforms and automated workflows as the company continues to automate a number of its processes.Key responsibilities include: • Owning the performance, maintenance, and reliability of laboratory automation systems, particularly liquid handling platforms, • Operating, troubleshooting, and optimising robotic systems (e.g. Hamilton, Tecan, Opentrons), • Acting as the primary escalation point for automation failures, instrument errors, and workflow interruptions, • Translating manual and semi-automated processes into robust, scalable automated workflows to support R&D operations, • Supporting commissioning, validation, and integration of new automation platforms, • Collaborating cross-functionally with scientists, software engineers, and data teams to improve workflow efficiency, • Writing and maintaining SOPs, technical documentation, and troubleshooting guides, • Driving continuous improvements in throughput, reproducibility, and operational efficiency, • Coordinating vendor support, servicing, and upgrades This is a permanent, lab based role at the company's site in London.What you'll need to succeedA strong candidate will bring hands-on engineering expertise and experience improving laboratory automation systems.You should be excited by the challenges involved in bringing in new equipment and solving problems within R&D workflows and have: • Strong experience with laboratory automation, gained in a biotech, pharma, contract research organisation, or a similar environment, • Hands-on expertise working with liquid handling robots (e.g. Hamilton, Tecan, Opentrons) beyond routine operation, • Proven ability to troubleshoot issues (eg mechanical, fluidic, software), • Experience developing, optimising, or scaling automated workflows, • Familiarity with LIMS/ELN and lab data workflows, • Strong communication skills and ability to work across multidisciplinary teams, • Interest in improving R&D efficiency through automation and process engineering, • The right to work in the UK (no sponsorship is available) Nice to haves, but not essential are: • Experience with flow cytometry or single-cell genomics automation, • The ability to modify automation scripts, instrument methods, or vendor software protocols, but there is an established software team for this What you'll get in returnYou'll be taking the lead for the company's automation as they continue to build this capacity and transfer their processes from manual to semi-automated and fully-automated; as well as solving hands-on problems you'll also be feeding into the company's automation strategy and working directly with C-suite and other senior stakeholders.You'll also get a generous salary, bonus and benefits package and a great working environment with a dedicated and friendly team.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.Keywords: Lead, Senior, Automation, Engineer, Laboratory, Robotics, Liquid, Handling, Scientist, Research, Pharmaceutical, Biotech, Workflow, Optimisation, Throughput, Systems, Engineering, Hamilton, Tecan, Opentrons, LIMS, ELN, Integration, Troubleshooting, Validation, Maintenance, Instrumentation, Software, Data, Efficiency, Process, Platforms, Scalability