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Lead Data Scientist, AI/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities—guiding small, high performing teams as they deliver impactful AI initiatives. You’ll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will · Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. · Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. · Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. · Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). · Operationalise ML solutions using MLOps practices—CI/CD for models, reproducible training, and automated deployment. · Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). · Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. · Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. · Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. · Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. · Think strategically about data collection, metric design, and ethical AI—driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered • 5+ years of hands‑on experience in statistical methods and ML engineering across the end‑to‑end lifecycle (data prep → modelling → deployment → monitoring)., • Proficiency in Python and strong command of ML/DS libraries (scikit‑learn, pandas, numpy, TensorFlow/PyTorch)., • Experience working with GCP, AWS and Azure data services., • Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment)., • Ability to communicate technical insights clearly to non‑technical audiences; strong storytelling with data., • Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners., • Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences)., • Working knowledge of cloud‑native software architecture, service design/design thinking, and version control (Git)., • Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks)., • Background in real‑time analytics and event‑driven architectures., • Prior consulting experience (client‑facing, pre‑sales, solutioning) and domain expertise.

Data Scientist Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career as a Data Scientist.\n\nWe 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 within 20 miles of your location upon completion.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:\n\nStep 1 - Full Data Science Career Training\n\nYou 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.\n\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\n\nAt the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.\n\nStep 2 - CompTIA Data+\n\nCompTIA 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.\n\nStep 3 - Official Exam\n\nThe 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.\n\nStep 4 - Practical Projects\n\nNow 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.\n\nWhilst 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.\n\nYour Data Science Role\n\nOnce 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 great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.\n\nAt a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nRead through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

Senior Computational Scientist (Single-Cell + Machine Learning) We are searching for a Senior Computational Scientist with deep, hands-on single-cell expertise to help translate cutting-edge AI models into impactful discovery and translational workflows. This role sits at the intersection of single-cell biology, machine learning, and applied computational research, with direct influence on how next-generation foundation models are evaluated and deployed. You will partner closely with research scientists, ML engineers, product teams, and external collaborators to turn advanced single-cell methods into actionable insights for real-world drug discovery and translational use cases. This is a senior IC position with the opportunity to grow into management as the team scales. What You’ll Do • Lead scientific strategy and execution for evaluating and applying foundation models to single-cell and multi-omics datasets., • Develop, adapt, and benchmark single-cell workflows, including integration, perturb-seq analysis, and advanced multi-modal pipelines., • Collaborate with research and ML teams to design experiments and rapidly iterate from prototype to insight., • Work closely with Product and Business Development to translate complex biology + ML capabilities into customer-facing deliverables., • Mentor junior scientists and contribute to shaping the culture and scientific standards of a growing computational biology team., • Bring strong scientific judgment to ensure modeling work remains grounded in translational biology and drug development needs. What We’re Looking For • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with a strong single-cell focus, and 2+ years of industry experience; or MSc with 5+ years of relevant industry experience., • Deep, hands-on experience with single-cell technologies (integration, perturb-seq, multiome, advanced workflows)., • Strong understanding of modern ML/AI approaches for biological data, such as transformers, VAEs, diffusion models, or classical ML methods., • Proficiency with ML frameworks like PyTorch (or equivalent)., • Excellent communication skills with the ability to explain complex science to diverse technical and non-technical audiences., • Comfortable working in a fast-paced, iterative environment., • Passionate about building at the intersection of biology, machine learning, and real-world translational impact.

CK Group are recruiting for a Senior/Principal Scientist, Cell Biology to join a clinical stage oncology biotechnology company at their site based in West London on a 12 month Fixed term contract basis. The Company: Our client is developing novel tumour microenvironment targeted therapeutics. This is an exciting opportunity to contribute to bringing novel cancer treatments to patients. Location: This Senior/Principal Scientist, Cell Biology role is located in West London. Associate Scientist, Cell Biology Role: You will help to drive early stage discovery programs and support laboratory research activities by developing cell biology assays and maintaining high-quality experimental standards. Your main duties will be to: • Develop and execute cell-based assays, including complex co-culture assays, • Direct research and work closely with programme leaders and senior management to develop project plans, timelines, setting budgets etc., • Advises colleagues in experimental approaches, mentors team members and provides solutions, • Analyse, critique and record experimental data using appropriate software and electronic lab notebooks., • Work effectively in a small team with cross-functional team members., • Ensure compliance with laboratory safety guidelines and quality standards Your Background: • Educated ideally to PhD level with substantial industry (biotech or pharmaceutical industry) experience in oncology cell biology, • Experience developing and running mammalian cell assays and flow cytometry analyses, • Ideally experience of small molecule drug development, complex co-culture cell assays (eg fibroblasts cultured with cancer cell lines), Incucyte and other cell-based techniques., • Ideally a background in molecular biology including PCR and related techniques and experience of enzyme kinetic analyses and interpretation of mass spectrometry data., • Ability to develop and follow protocols and to work collaboratively as part of a team with the potential to mentor and/or line manage others Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference 177 110 in all correspondence.

Senior Scientist – Computational Biology / Machine Learning Hybrid | Full Time London, United Kingdom Overview We are seeking a Senior Computational Scientist to help translate advanced machine learning models into impactful, real-world discovery workflows. In this role, you will provide scientific leadership across model evaluation and applied biological use cases, ensuring research remains grounded in the most relevant challenges in drug discovery and translational research. This position sits within a growing computational biology team and reports into the Head of Computational Biology. You will join as a senior individual contributor, with the opportunity to take on management responsibilities as the team expands. You will act as a key scientific partner to research teams, support and mentor junior scientists, and collaborate closely with product and commercial teams to translate cutting-edge biology and machine learning into solutions that deliver real value for customers. Key Responsibilities • Lead evaluation and application of machine learning models for biological discovery workflows, • Apply advanced ML methods to complex biological datasets, particularly single-cell and omics data, • Partner with research teams to translate model outputs into meaningful biological insights, • Collaborate with product and business teams to shape deliverables and real-world applications, • Mentor junior scientists and contribute to the growth of the computational biology function, • Operate in a fast-moving environment, iterating quickly from prototype to experiment to insight Requirements • PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field with a focus on single-cell and machine learning, plus 2+ years industry experience, OR, • MSc in a relevant field with 5+ years industry experience applying machine learning to single-cell or omics datasets, • Strong understanding of machine learning approaches for biological data, including methods such as transformers, VAEs, diffusion models, and classical ML, • Hands-on experience using modern ML frameworks such as PyTorch (or similar), • Strong communication skills with the ability to translate complex scientific concepts for both technical and non-technical audiences, • Comfortable working in fast-paced, iterative research environments, • Passion for working at the intersection of biology and machine learning

Job Title: Product Data Scientist – Hybrid – Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: • Analyse user behaviour to uncover insights, identify pain points, and influence product direction., • Design experiments and support a culture of testing, learning, and iteration., • Define and align key business metrics, ensuring consistency and accuracy across teams., • Build and maintain dashboards and tools to empower stakeholders with self-serve insights., • Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations., • Collaborate across functions to close data gaps and drive analytics best practice., • Stay current on industry trends and champion innovative approaches to product data science. The Candidate • Proven experience in analytical roles, ideally within a digital-first or tech-led business., • Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash)., • Ability to translate business challenges into clear analytical projects and recommendations., • Strong data storytelling and presentation skills, with confidence engaging senior stakeholders., • Curious, proactive, and detail-oriented problem solver., • Team player with strong collaboration skills. What’s on Offer • Salary up to £80,000 + bonus, • Hybrid working (2 days per week in London office), • Competitive annual leave package, • Pension scheme and healthcare support, • Employee discounts and perks, • Regular team socials and recognition initiatives, • Strong learning and development opportunities Apply Now If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

Job Description: Senior AI Scientist (DV‑Cleared) Location: UK (On‑site, Secure Environment) Clearance: DV Clearable Required Contract: Inside IR35 Start Date: In several months (ideal for candidates completing other engagements) About the Role We are seeking an experienced Senior AI Scientist to support a high‑impact programme within a major UK government department. This role is focused on the development and evaluation of advanced AI systems, with a particular emphasis on Large Language Models (LLMs), agentic workflows, and modern generative AI techniques. You will work in a secure environment, applying cutting‑edge AI methods to complex operational challenges, while influencing the direction of AI adoption within the organisation. This is an excellent opportunity for a senior practitioner who can combine technical depth, research‑grade thinking, and hands‑on engineering—operating with a high degree of independence and responsibility. Key Responsibilities • Lead the design, development, and optimisation of AI models, including transformer‑based architectures and LLM‑driven systems., • Build and assess agentic AI workflows, retrieval‑augmented pipelines, and advanced evaluation frameworks., • Conduct rigorous model benchmarking, statistical analysis, and robustness testing to ensure scientific integrity., • Contribute to the organisation’s broader AI capability growth, best practices, and technical governance. Essential Experience • Must be DV Clearable, • Strong expertise in LLMs, generative AI, and transformer models., • Hands‑on experience with agentic workflows, modern AI toolchains, and evaluation methodologies., • Deep understanding of machine learning, statistical modelling, and optimisation techniques., • Strong programming skills (Python preferred) and experience with modern AI/ML frameworks., • Proven experience delivering AI solutions in complex or high‑security environments. Desirable Skills • Experience with MLOps, LLMOps, or production‑grade AI deployments., • Knowledge of vector databases, RAG, and prompt engineering techniques., • Exposure to government, defence, or national security domains. Who This Role Suits • A senior‑level AI/ML specialist who wants to apply cutting‑edge AI in meaningful real‑world contexts., • An expert comfortable taking LLM‑based projects from concept through evaluation to delivery., • Contractors seeking a forward‑planned assignment with a delayed start date.

Principal Data Scientist London - UK- WIDE TRAVEL EXPECTED If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs. THE COMPANY This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges. THE ROLE As a Principal Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. • Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements, • Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end, • Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard, • Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders, • Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE • Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery, • Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact, • Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches, • Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement), • Hands-on experience building models and turning prototypes into robust, production-ready solutions, • Experience leading teams or technical workstreams in a project environment, • UK citizenship (for security clearance purposes) and willingness to travel across the UK 2–3 days per week, depending on client needs Nice-to-have experience: • Background in a consulting environment or a high-performing in-house DS/AI team, • Exposure to sectors such as defence, public sector and consumer/retail, • Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential), • A mix of technical, product and operational experience – comfortable talking both code and business outcome

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: • Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios., • Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions., • Build software using modern technology to enable investing and asset management at scale., • Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy., • Analyse large-scale datasets to identify key drivers, trends, and early warning signals within NPL portfolios., • Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences., • Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: • University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred., • Strong expertise in statistical modelling, Bayesian inference, and machine learning., • Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan), • Experienced in SQL. Ability to write efficient and robust queries., • Demonstrated experience working with large and complex datasets., • Ability to communicate complex analytical concepts clearly and effectively to a range of audiences., • Experience with model governance, documentation, and deployment best practices., • Experience with cloud environments (e.g., AWS Sagemaker)., • Experience with collaborative development tools (e.g., Git, JIRA) is a plus., • Prior experience in financial services, banking, or credit risk modelling is beneficial., • 5-8 years experience in a Data/Analytics role, ideally within a Financial Institution Why This Role • Opportunity to build an analytics function from the ground up in a cutting-edge, entrepreneurial environment., • Work with massive datasets and modern tools at the forefront of fintech innovation., • High-impact role directly contributing to investment and portfolio decision-making.

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities • Design, develop, and implement advanced machine learning models and AI capabilities, • Build and maintain knowledge graphs and causal inference systems, • Create probabilistic models to address complex business problems, • Scale AI solutions from proof-of-concept to MVP and full production, • Collaborate with backend engineers on data pipelines and infrastructure, • Work within solution architecture frameworks to ensure AI integration, • Contribute to solution design and technical decision-making, • Translate business requirements into technical specifications Required Skills & Experience • Great experience combining data science with software engineering, • Strong expertise in machine learning, with focus on causal ML and probabilistic modelling, • Experience developing and implementing knowledge graphs, • Proficiency in scaling AI solutions from concept to production, • Working knowledge of backend systems, data pipelines, and ETL processes, • Familiarity with cloud platforms, particularly Microsoft Azure, • Understanding of microservices architecture and distributed systems, • Experience with DevOps practices for AI/ML workflows (MLOps), • Strong programming skills in Python and related data science libraries, • Demonstrated ability to work within solution architecture frameworks Preferred Qualifications • Experience with multiple cloud providers beyond Azure, • Familiarity with container orchestration (Kubernetes), • Knowledge of graph databases and query languages, • Experience with deep learning frameworks, • Background in NLP, computer vision, or reinforcement learning, • Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus

Do you want to build a behavioural intelligence product using US population-scale data Have you worked with survey + digital behavioural signals and want to turn that into a scalable data product? Are you a bold, product-minded Behavioural Scientist ready for a genuine R&D mandate? We’re partnering with a fast-growing behavioural healthcare analytics business (~40 people) with teams across Washington DC, London and Delhi. They sit at the intersection of behavioural science and data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data Scientist to join a product/R&D team focused on the US market. You’ll work on high-impact research programmes translating behavioural datasets into usable benchmarks and recommendations for healthcare stakeholders. Up to £95k base + 10%+ bonus. Key responsibilities • Lead R&D projects focused on drivers of US healthcare behaviour at scale, • Design and run behavioural measurement approaches (survey + digital signals), • Build statistical and predictive models (regression, segmentation, behavioural modelling), • Translate findings into benchmarks, insights and recommendations, • Partner with PM/DE to productise outputs into a robust data product, • Collaborate on evaluating and onboarding new data sources Requirements • PhD (minimum requirement), • Strong academic background (Russell Group / top universities), • 2+ years post-PhD industry experience, • Strong behavioural science grounding (intersection of behaviour + data), • Experience with survey data and/or digital behaviour signals, • Ability to code in Python and/or R, • Proactive, creative, willing to take ownership (not risk-averse) Nice-to-have • Healthcare domain exposure, • Consumer behaviour analytics background (e.g. retail, marketplaces), • Behavioural / political consultancy experience, • SQL Tech stack • Python and/or R, • Databricks, • SQL beneficial but not essential Location / working model • Remote-first model, • Central London (2 days a week), • Current cadence may be 1x per month / 1x per quarter, but expectations will increase as the London office builds, • WeWork access provided when required (as many days in as preferred), • Occasional travel may be required Interested? Apply below.

Job Title: Data Scientist Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role Purpose At Travelex, data is at the heart of every decision we make. We rely on advanced analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You’ll be instrumental in shaping how data informs strategy and drives innovation across the organisation. Objectives -Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. -Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. -Translate analytical findings into clear, actionable insights that drive strategic decisions. -Embed data science and AI solutions into key business processes to enable intelligent automation. -Stay current with the latest developments in data science, AI frameworks, and responsible AI practices, and champion their adoption across teams. Responsibilities -Act as a data strategist to identify, integrate, and leverage new data sources through product capabilities. -Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. -Execute analytical experiments to address challenges across multiple business domains. -Mine and process large structured and unstructured datasets to extract meaningful features and patterns. -Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements -3+ years of experience in data science or a related field. -Proven expertise in data mining, statistical modelling, and machine learning techniques. -Advanced experience in pattern recognition, predictive modelling, and feature engineering. -Proficiency in Python and SQL, and a solid grasp of software engineering best practices. -Strong understanding of data structures, model evaluation, and experiment design. -Experience with data visualisation tools and communicating insights effectively. -Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment. -Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure) -Knowledge of data governance and ethical AI principles. -Excellent communication skills, with the ability to translate technical results into business impact. -The ability to explain, brainstorm, present, simplify, clarify, prioritise, document, listen, negotiate and compromise. -Your own unique style or way of working, which will make our team diverse and original. Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Role: Grade Level (for internal use): 15 The Team The Enterprise Solutions Technology team is dedicated to delivering next-generation, high-scale technology platforms through resilient architecture, data excellence, and engineering innovation. Our mission is to enhance our digital presence and improve customer engagement across various domains, including Lending, Corporate Actions, Tax, Regulatory & Compliance, Regulatory Reporting, Public Markets, and Private Markets portfolio monitoring. Role We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. What's In for you : The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management. You will get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production. A key part of the role is knowing when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate. You may have limited line management responsibility, but impact is driven primarily through hands-on technical contribution, review, and influence. Responsibilities: • Strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments., • Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints., • Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning., • Extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas., • Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes., • Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response when models misbehave., • Practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques., • Experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability., • Strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement. Experience & Mindset, • 20+ years working with analytics, data science, or ML systems in production, with significant experience in financial services or other regulated, high-availability domains., • Comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams., • Pragmatic and outcome-driven; measures success by models that run reliably in production, adapt to changing conditions, and withstand scrutiny., • Clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders., • Acts as a technical mentor to other data scientists through review, pairing, and example, limited people management where appropriate. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

🚨 Urgent Opportunity – Data Science Lead 🚨 I’m working with a global digital consultancy that urgently needs a Data Science Lead to drive advanced statistical modelling, experimentation strategies, and causal analysis across major brand portfolios. This is a senior, hands-on role working in a fast-paced, highly collaborative environment. What you’ll be doing: • Design, implement, and analyse causal inference experiments, including natural experiments and quasi-experimental methods, • Develop and apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models, • Identify and control for confounding variables in observational studies, • Create robust statistical methodologies for causal effect estimation, • Collaborate with cross-functional teams to translate business questions into rigorous experimental designs, • Present technical findings to stakeholders in clear, actionable terms What we’re looking for: • Advanced degree (MS or PhD) in a quantitative discipline with deep understanding of statistics, • 3+ years of professional experience applying statistical methods to real-world data, • Demonstrated expertise in experimental design, including randomized controlled trials and observational study methodologies, • Strong understanding of conformal prediction theory and applications, • Proficiency in programming languages such as Python or R, and relevant statistical packages, • Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do-calculus), • Knowledge of modern machine learning techniques and how they intersect with causal reasoning, • Excellent communication skills, with the ability to explain complex statistical concepts to non-technical audiences, • Agency or client-service experience is highly desirable — familiarity with fast-moving campaigns and cross-functional collaboration is a big plus Preferred skills: • Experience with heterogeneous treatment effect estimation, • Familiarity with Bayesian methods for causal inference, • Background in epidemiology is a plus, • Experience working with a causal inference ecosystem (e.g., PyWhy, CausalImpact, Synth, GeoLift) Day rate: £450 per day IR35: Outside IR35 Contract length: 2 months initially Working pattern: Hybrid / remote (approx. 2–3 days onsite in London) If this sounds like you, drop me a DM or email your CV to

About The RoleTeam – Data ScienceWorking Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: • Deep Expertise in Machine Learning, Data Science & Technical Tooling, • Strategic Project Leadership & Business Impact Delivery, • High Level Stakeholder Engagement & CommunicationWhat this role is all about:Vitality is entering a new era powered by Vitality AI. This is where intelligence, data, and personalisation come together to redefine how we help our members live healthier, happier, longer lives. As a Senior Data Scientist, you will play a pivotal role in designing, building, and executing advanced machine learning and AI solutions that sit at the heart of Vitality’s transformation. Your work will help shape the next generation of personalised health insurance and wellness experiences. You will be instrumental in embedding AI safely, responsibly, and at scale across the organisation.Key Actions, • Lead advanced AI and machine-learning development, delivering the full model lifecycle and building scalable, explainable, production-ready solutions, • Develop cutting-edge models including recommender systems, generative AI, reinforcement learning and other advanced techniques, ensuring high ethical and governance standards, • Drive innovation and shape the Vitality AI roadmap by identifying high-value opportunities, rapidly prototyping ideas, and contributing to reusable frameworks and tooling, • Own end-to-end delivery of high-impact, strategic AI projects, translating complex business needs into measurable solutions and managing multiple workstreams effectively, • Engage and influence stakeholders across the business, clearly communicating insights and building strong relationships to support AI adoption, • Mentor and develop data scientists, steering knowledge-sharing, capability-building and fostering a culture of excellence and continuous improvement, • Champion responsible AI, governance and risk management, identifying risks early and ensuring all models meet safety, regulatory and ethical requirements, • Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systemsWhat do you need to thrive?, • Undergraduate degree in statistical subject, • Considerable experience accessing and analysing data using SQL and Python, • Significant experience using commonly used regression and classification algorithms, • Experience (5+ yrs) working as a data scientist, • Expert in the process of building and implementing machine learning models to solve business problems, • Taken a lead role in the management of data science projects, • Communicates effectively to technical and non-technical audiences at all levels of the organisation, • Demonstrable experience of working with the business to identify new projectsSo, what’s in it for you?, • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!If you are successful in your application and join us at Vitality, this is our promise to you, we will:, • Help you to be the healthiest you’ve ever been., • Create an environment that embraces you as you are and enables you to be your best self., • Give you flexibility on how, where and when you work., • Help you advance your career by playing you to your strengths., • Give you a voice to help our business grow and make Vitality a great place to be., • Give you the space to try, fail and learn., • Provide a healthy balance of challenge and support., • Recognise and reward you with a competitive salary and amazing benefits., • Be there for you when you need us., • Provide opportunities for you to be a force for good in society.We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards.Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.Diversity & InclusionAt Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.

Senior Research Assistant – Molecular Biology Permanent Position Competitive Salary + Excellent Benefits Based in London Do you have experience in molecular biology techniques such as DNA / RNA extraction, PCR, qPCR, ddPCR, capillary / agarose gel electrophoresis or magnetic bead-based techniques? Would you like to work for a ground-breaking diagnostics company in London? My client is developing a revolutionary new NGS-based diagnostic platform in an easy-to-use, sample-to-answer, cartridge-based system designed to generate actionable results direct from clinical specimens in a matter of hours. Due to continued growth, they are looking to hire outstanding scientific talent, including a Senior Research Assistant – Molecular Biology, to join the existing multi-disciplinary NGS platform development team, filling key roles in the rapidly expanding program. This role would suit an experienced molecular biologist looking to work for a revolutionary company with a solid technology foundation. Key Responsibilities of the Senior Research Assistant – Molecular Biology: • Support NGS technology development, including development of molecular biology and biochemistry modules and transfer to cartridge-based workflow., • Design and execute laboratory experiments in a timely manner., • Provide detailed descriptions of experiments and complete analysis of data, suggesting next steps., • Identify technical issues as they occur and troubleshoot., • Effective management of required documentation in accordance with company quality management system and ISO 13485 standards., • Support the resolution of technical problems encountered during experiments. To be considered for the Senior Research Assistant – Molecular Biology, you'll need the following skills and experience; • A BSc or MSc in a relevant life science discipline such as Molecular Biology, Biochemistry, Genetics, or have equivalent working experience, • Proficiency with Molecular Biology and/or Biochemistry techniques including DNA/RNA extraction, PCR, qPCR, ddPCR, capillary/agarose gel electrophoresis or magnetic bead-based techniques., • Ability to design, troubleshoot, perform and analyse experiments to generate high quality experimental output and analysis., • Knowledge of Next Generation Sequencing (NGS) workflows, primarily on sample prep and NGS library prep., • Ability to design, perform, troubleshoot and analyse experiments, • The capability to deliver to deadlines and take a proactive approach to problem solving. This is a great opportunity to join a leading Biotechnology company in London, who offer great career development and an innovative working environment. Key Words “NGS, Next Generation Sequencing, Molecular Assay, Molecular Biology, PCR, Polymerase Chain Reaction, qPCR, rtPCR, Senior Research Assistant, Senior Research Associate, Research Assistant, Research Associate, Scientist, London” Please apply online or contact Katie-May Kress at CY Partners for more information. The recruiter has stated that all applicants for this job should be able to prove that they are legally entitled to work in the UK. CY Partners Recruitment Ltd, trading as CY Partners is an Employment Business/Agency.

As a Biopolymer Scientist / Materials Engineer at Sealeo, you will take a central role in the development of a cutting-edge biomaterial system at the heart of the company’s technology. This is a hands-on, applied materials role with real ownership and responsibility. You will work directly with the founders on polysaccharide-based and soft-matter systems, generating new experimental data, structuring and interpreting existing results, and guiding technical decisions that shape Sealeo’s development trajectory. Your work will directly influence how a novel biomaterial progresses from early-stage development toward industrial readiness. This role suits someone who thrives in fast-moving, ambiguous environments and enjoys tackling complex materials challenges that do not yet have established playbooks. You will balance rapid experimentation with deeper materials understanding, making informed judgement calls that matter. You will collaborate with leading academic and industrial partners, engaging with advanced testing, validation, and scale-up capabilities beyond a single lab. This offers rare exposure to the full journey of novel biomaterials, from bench-scale science to real-world application. The role is part-time (2-3 days per week) with high flexibility in working hours and an outcome-driven approach. As Sealeo grows, there is clear potential to transition into a full-time position within 12 months, with scope for expanded responsibility and long-term technical leadership for the right person. Responsibilities Material Development & Evaluation: • Take a central scientific role in the development of novel biopolymer-based material systems, working with polysaccharides and soft-matter materials., • Contribute to Sealeo’s work within a large funded consortium, supporting and coordinating material validation, characterisation, and scale-up activities across partners., • Identify, evaluate, and select suitable biopolymer inputs and functional material components based on performance, manufacturability, and scale-up considerations., • Design and execute bench-scale experiments to develop, optimise, and characterise biomaterials., • Correlate material chemistry and structure with macroscopic properties relevant to real-world performance., • Structure, consolidate, and critically analyse existing experimental data to support clear technical decisions., • Design and generate new experimental data to resolve open technical questions and reduce development risk., • Develop and validate analytical test methods to ensure consistency and reproducibility in formulation performance., • Communicate material insights and formulation changes internally and externally, enabling effective collaboration with research organisations, scale-up partners, and manufacturing stakeholders., • Ensure experimental work remains aligned with manufacturing constraints, cost considerations, and downstream deployment requirements., • Contribute to the development of intellectual property, including patents and trade secrets. Qualifications Must-have: • PhD (ongoing or completed) in Materials Science, Polymer Chemistry, Chemical Engineering, or equivalent hands-on industry experience., • Demonstrated hands-on laboratory experience working with polysaccharides (e.g. alginate, cellulose, chitosan, starch) in material or formulation contexts., • Proven experience developing and testing physical material systems, such as foams, hydrogels, porous materials, or biopolymer-based composites., • Strong experimental skills, including designing experiments, generating reproducible data, and analysing results., • Experience working in exploratory R&D environments, with comfort navigating ambiguity and incomplete data., • Ability to translate experimental findings into clear technical conclusions and recommendations that support decision-making., • Strong written and verbal communication skills for technical documentation and partner-facing discussions. Nice-to-have: • Familiarity with thermal properties, heat transfer, and insulation-related material performance., • Exposure to thermal cycling, stability testing, or durability studies under repeated operating conditions., • Experience interfacing with scale-up, pilot manufacturing, or process engineering teams.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. AI platforms, Agentic systems & Insights Build a scalable AI platform with shared assets that reduce maintenance overhead and accelerate model delivery, standardizing adoption through APIs, ontologies and knowledge graphs while incubating an agentic AI marketplace for seamless reuse and stronger AI ROI. In parallel, deliver AI‑powered, client‑specific 360° insights through intelligent coverage agents to identify acquisition, cross‑sell and upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated processing of unstructured data and documents as well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control. GenAI/LLM capabilities, document intelligence, workflow automation, GCP migration expertise, CloudOps.

Description Haver Analytics is the premier provider of time series data for the global strategy, research and quant communities. We deliver primary-sourced databases, a wealth of key survey and forecast data from our industry partners, and a robust offering of archive databases that drive machine learning for big data applications. We continuously display up-to-the-minute data from over 2500 government and private sources via integration with Microsoft Office and all leading statistical packages through our DLX® software and platform-independent HaverView(TM). We pride ourselves on the quality of the data and ease of access, as well as the speed at which it is updated and supported. Founded in 1978, Haver is headquartered in New York City with offices in London, Singapore and Tokyo. Job description Haver Analytics seeks an Account Representative as part of our expanding Account Management team to join our growing team of consulting support professionals. Haver provides professional services to the community of economists, data scientist, strategists and risk managers within the corporate marketplace and public sector. This is an exciting opportunity for anyone interested in learning the business of professional big data analytics, risk management and economic research. The Account Representative position is full time and will be based in our London office. Minimum qualification for the position is an undergraduate degree in Economics, Finance or a related discipline with fluency in French or German to support our growing client base across Europe. Candidates should have the flexibility to travel internationally. The Haver London office is a growing field office supporting a diverse set of clients including central banks, buy side/sell side and large non-financial corporations. Key Responsibilities Support and promote adoption of Haver’s services: • Providing on-line and on-site training on Haver Analytics software, • Applying a consultative approach to training and become an expert in “knowing your audience”, • Supporting the account management team to identify opportunities within the existing client base and assisting with onboarding new clients, • Communicating effectively new software and data developments from Haver., • Managing and facilitating occasional project work in platforms such as Excel, • Attending trade shows and sales related events Requirements • Bachelor’s degree in economics, Finance or related discipline., • Fluency in English and either French or German, • Strong written and verbal communication., • Ability and willingness to travel internationally, • Exposure to statistical platforms such as Python and R (desirable though full training provided), • Previous experience in a customer service industry (desirable) Job Benefits • Hybrid/Flexible Working (3 days in office), • Central London location, • Support for on-going training and education both internally and externally, • Competitive salary and generous commission-based activity plan, • Private Health Insurance, • Company Phone

Data Scientist – Credit Risk £55-65,000 London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE • Work across a range of credit models within the business, predominantly scorecards and broader decisioning models, • Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business, • Own the deployment and implementation of predictive models across the product suite, • Essential to have experience developing predictive models, ideally within credit risk, • SQL and Python experience is essential, • Essential to have experience using Machine Learning techniques to develop non-linear models, • Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS • Base salary from £55-65,000, • Company pension scheme, • Private medical care, • Equity scheme HOW TO APPLY Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Company Description AmpliSynth is a London-based synthetic biology company on a mission to democratise access to DNA synthesis. We are developing a benchtop platform that enables on-site, on-demand gene synthesis for research and biotech organisations. Role Description AmpliSynth is currently recruiting an experienced and self-sufficient scientist to join their team. As part of our continued investment in our DNA synthesis platform, this role is key to take our platform from proof-of-concept to a validated instrument. This position is suited to someone who thrives on solving complex molecular biology challenges, and is confident working across disciplines in a fast-moving startup environment. As an early hire, you will have direct scientific ownership and clear pathways for progression based on capability and impact. Key responsibilities • Design and optimise enzymatic DNA assembly workflows for the construction of long dsDNA, from oligonucleotide building blocks to multi-kilobase constructs., • Develop assembly strategies for iterative build-up of complex genetic constructs., • Build synthetic gene cassettes, and DNA constructs for functional testing., • Develop strategies for sequence verification / fidelity, error correction, and QC across assembled constructs., • Collaborate closely with hardware engineers to integrate biological workflows into automated systems., • Maintain lab notebooks, SOPs, and COSHH risk assessments. What we need from you • PhD in Synthetic Biology, Biochemistry, Molecular Biology or a related discipline., • Expertise in DNA assembly methods and multi-fragment construct engineering in vitro and / or in cells., • Strong understanding of nucleic acid biochemistry, sequence design principles and enzymology., • Python or other scripting language for data analysis; comfort with command-line bioinformatics tools., • Clear and confident written and verbal communication skills., • Strong DoE skills with a rigorous, systematic approach to troubleshooting. Nice to have • Experience with synthetic genome construction, and combinatorial library design., • Familiarity with nucleic acid thermodynamics and secondary-structure prediction tools (e.g. NUPACK, ViennaRNA or similar)., • Experience with fluorescence and FRET-based assays., • Experience with instrument development and automation., • Familiarity with how scientific results integrate with commercial value. What we offer: Join AmpliSynth and become part of a small, focused team building a platform technology with the potential to democratise DNA synthesis. We value scientific rigour, intellectual curiosity, and the agility and ownership that comes with being an early member of an ambitious startup. • Competitive salary, reviewed annually, • Share options (EMI scheme) — meaningful equity participation for early employees, • 25 days annual leave plus UK bank holidays, • Pension contributions in line with UK auto-enrolment., • A collaborative environment where your ideas directly shape the product AmpliSynth Ltd is an equal opportunity employer. To apply, send your CV and a brief cover letter (max one page) to: . Within the cover letter we would like you to answer the following question: If you could synthesise any DNA sequence tomorrow without cost, length, and turnaround restriction, what would you build, and why?

Senior Data Scientist | Data, Python, Science Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform. For this position, they are looking for applicants with the following skillset: • A passion for clean data/statistics, • At least 3 years’ previous experience as a data scientist, • Python skills/experience, • Comfortable in an Agile environment, • Knowledge of GitHub, • Interest in gaming/esports, • Previous experience with machine learning models and established statistics In return, they can offer: • A salary of up to £85k (depending on experience), • A generous training/personal development budget, • Transport contributions, • Flexible working hours, • A great list of perks in a brand-new office (when you are in the office) If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!

🌍 Long-Term Recruitment: Senior Scientist / Postdoctoral Researcher / Lecturer / Professor Position Overview We are recruiting outstanding PhDs in science and engineering to participate in collaborative projects with universities, research institutes, and enterprises in China. Candidates may work part-time online or full-time in China. Our partners include leading universities, research institutes, and listed companies, with strong advantages in international collaboration and innovation. We continue to introduce outstanding overseas PhDs and are committed to building a world-class research team. Research Directions We sincerely welcome applicants with interdisciplinary backgrounds. Research fields include, but are not limited to: 1. Core Research Fields (Strategic Domains) • Next-Generation Information Technology, • High-End Equipment & Intelligent Manufacturing, • Advanced Materials & Functional Materials, • Biomedicine & Biopharmaceuticals, • Energy & Sustainability (New Energy, Energy Efficiency, Environmental Protection), • New Energy Vehicles (NEVs) & Power Systems, • AgriTech & Bio-Breeding, • Digital Creativity & Future Computing Technologies, • Interdisciplinary Hard Technology 2. Urgent Hiring Areas (Chemistry, Materials & Related Sciences) • Chemical Engineering: Research on chemical processes, industrial chemistry, process optimization, reaction safety, and large-scale chemical production., • Polymer Science & Engineering: Design, synthesis, modification, and applications of advanced polymers, including high-performance structural and functional polymeric materials., • Advanced Functional & Sustainable Materials: Development of smart, eco-friendly, high-performance materials for energy, environment, medical, and industrial applications., • Catalysis & Reaction Engineering: Homogeneous/heterogeneous catalysis, photocatalysis, electrocatalysis, catalytic reactor design, and advanced reaction engineering., • Materials for Electronics & Biomedicine: Semiconductor materials, soft electronics, biomaterials, nanomaterials, multifunctional coatings, and advanced biomedical materials., • Energy Materials: Battery materials (Li/Na/Zn/Solid-state), hydrogen energy systems, fuel cells, photovoltaic materials, and energy storage systems. 3. Newly Added Urgent Hiring Fields • Optics & Photonics: Optical materials, photonic devices, laser technology, fiber optics, imaging systems, and optical instrumentation for scientific and industrial applications., • Astronomy & Space Science Materials: Instrumentation for telescopes, aerospace materials, detector technologies, optical coatings, space-environment-resistant materials, and simulation research related to astrophysical environments., • PI Thin-Film Technology (Polyimide Films): High-performance PI film synthesis, processing, coating technologies, flexible electronics applications, insulation films, and ultra-high-temperature polymer research., • Chemical Metallurgy & Extractive Engineering: Metal extraction, separation and purification, metallurgical chemical reactions, mineral processing, corrosion science, and advanced metallurgy for battery/semiconductor materials. 4. Additional Priority Talent Areas We are also urgently seeking experienced scientists and engineers (3+ years) with expertise in the following specialized domains: • OCA Optical Adhesives (Optically Clear Adhesives), • Silicon Photonics & Optoelectronic Coupling, • LED Epitaxy & Semiconductor Optoelectronics, • Water Treatment Membrane Technologies – especially Hollow Fiber Membranes, • TMR Magnetic Sensor Chips & Spintronics, • Polyurethane Materials & Foaming Technologies, • Engineering Plastics & High-Performance Modified Polymers, • Ceramic Dielectric Materials – including Ceramic Filters & RF Antenna Materials, • Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields • Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development, • Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing, • Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities • Conduct independent and/or collaborative scientific research, • Publish in high-quality peer-reviewed journals, • Apply for national/international research funding, • Supervise graduate students or junior researchers (if applicable), • Collaborate with domestic and international teams for research-to-industry translation 7. Candidate Requirements • PhD in Chemistry, Materials, Engineering, Physics, Optics, Data/AI, or related fields, • 3+ years of postdoctoral or professional research experience preferred, • Strong academic record (publications, patents, or projects), • Independent research capability and willingness to collaborate, • Open to all nationalities Compensation & Benefits Annual Salary: USD 100,000 – 350,000+ (based on qualifications) Research Startup Funding: Up to USD 400,000 Housing & Settlement Support: Up to USD 400,000 (talent apartments, rental subsidy, or purchase assistance) Additional Benefits: • Furnished talent housing or temporary accommodation, • Visa, residence permit, household registration support, • Healthcare, children’s education assistance, • Comprehensive onboarding and long-term service Career Development Pathways • Academic Track: Lecturer → Professor, • Research Track: Assistant Researcher → Senior Scientist, • Opportunities to establish independent research groups, • Support for international conferences and collaborations About Us We are a multinational academic and technology exchange company promoting global collaboration in research and innovation. Partnering with leading universities, institutes, and enterprises, we actively attract global PhDs to form internationally competitive research teams. Through our global platform, we foster cross-border knowledge exchange, technology transfer, and talent development, driving forward scientific advancement and innovation. Application 📩 Please send your application to: Application Email Title: “Application + Research Direction + Name” Required Materials: Resume (education background, research experience, publications, representative works)

About the Role Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation. What You’ll Do Measurement & Incrementality Leadership • Lead analysis and selection of key measurement solutions, • Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference), • Apply methods such as Difference-in-Differences and propensity score matching, • Interpret brand uplift, conversion, and ID graph data, • Translate statistical outputs into clear, executive-ready insights, • Lead post-campaign analysis and client-facing narratives, • Develop repeatable analysis frameworks and playbooks, • Standardise insight delivery across campaigns, • Mentor and train Optimisation teams on:, • Statistical thinking, • Experimental design, • Measurement interpretation, • Build models to explain:, • Geo-level performance variation, • Audience and creative effects, • Frequency and saturation dynamics, • Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation, • Explore automation and AI-assisted measurement workflows What We’re Looking For Core Experience • 5–8+ years in applied data science, • Strong grounding in causal inference & experimentation, • Experience with media, campaign measurement, or advertising data, • Advanced Python & SQL, • Experience with large-scale event/log-level datasets, • Ability to translate complex analysis into business insight, • Comfortable using AI tools in modern data workflows Nice to Have • CTV / programmatic / performance marketing experience, • Incrementality testing & geo experiments, • ID graphs / enriched consumer datasets, • Cloud environments (AWS, Snowflake), • Campaign insights are deeper, more rigorous, and more commercially impactful, • Clients recognise our measurement capability as a key differentiator, • Optimisation teams become more analytically confident, • Repeatable frameworks scale across campaigns Why Join Broadlab? Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.

Product Analyst London (Hybrid – 2x Days a Week in Office) £80,000-£90,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You’ll be responsible for: • Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy, • Designing, running, and evaluating experiments to optimise product performance and improve conversion, • Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery, • Building and maintaining dashboards and self-serve tools for quick access to core insights, • Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: • Strong SQL, • Python/R experience preferrable, • Experience with dbt and modern data stacks a bonus, • A proven ability to turn data into actionable insights and communicate them clearly to stakeholders, • Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits • Salary up to £80,000 – £90,000, • Bonus How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Principal Data Scientist – AI & Machine Learning Location: London (Hybrid: 3 days in office) Salary: £100,000 – £125,000 + 10% discretionary bonus + equity scheme We’re partnering with a highly respected, data driven organisation in the alternative assets space undergoing a major AI led transformation, including the launch of new generative AI products and intelligent data platforms. They are hiring a Principal Data Scientist to play a key role in shaping and delivering next-generation machine learning solutions across the business. This is a hands on, high impact individual contributor role with significant scope to influence technical direction, mentor others, and own end to end delivery of data science solutions. The Opportunity You’ll work at the forefront of applied AI, building intelligent systems that directly enhance customer experience and business performance. The team is actively launching new AI initiatives, including generative AI and intelligent document understanding tools. This role is ideal for someone who thrives in ambiguity and can take ideas from concept through to production. You will act as a solution owner, taking loosely defined problems and translating them into production ready machine learning systems. What You’ll Be Doing • Design, build, and deploy machine learning models (prediction, classification), • Own delivery of data science solutions from problem definition to production, • Lead experimentation and A/B testing to drive continuous improvement, • Collaborate cross functionally with product, engineering, and commercial teams, • Mentor and elevate a high-performing team of data scientists and ML engineers, • Contribute to AI strategy, including developments in generative AI Experience • 6–12 years’ experience in data science, currently operating at Principal level, • Strong grounding in machine learning fundamentals (supervised learning essential), • Proven experience delivering production-grade ML solutions, • Strong Python and SQL skills, • Experience with experimentation and data-driven decision making, • Ability to operate as a hands-on technical leader (not pure management), • Advanced degree (Master’s or PhD) in a quantitative field, • Experience working with financial or private markets data, • Exposure to alternative investments or private equity datasets, • Knowledge of causal inference, probabilistic modelling, or knowledge graphs Why Apply • High-impact role with ownership and autonomy, • Work on AI initiatives in a growing team, • Strong engineering and data culture with a focus on excellence, • Clear progression and opportunity to shape future capabilities Please note - sponsorship is not available for this position.

Do you want to work on pricing models that challenge the status quo? Have you ever built predictive models on large, messy customer datasets? Are you ready to experiment with new modelling approaches inside a major UK insurer? A leading digital-first UK insurer is hiring a Senior Data Scientist to join a specialist pricing innovation team. The business serves over two million customers and has invested heavily in data infrastructure and modern modelling capabilities. This team acts as a pricing R&D function, experimenting with new modelling techniques and data sources to challenge and improve traditional pricing approaches. You will build predictive models using large behavioural datasets and help introduce new modelling approaches into production pricing systems. The role offers strong technical ownership in a small, innovative team working closely with core pricing functions. Key Responsibilities • Build predictive models on large and complex datasets, • Develop residual and pricing models to test new signals, • Work on geospatial / footprint modelling problems, • Deploy models using Azure ML and internal infrastructure, • Experiment with new data sources to improve pricing models, • Mentor a graduate data scientist Key Details • Salary: £60,000 - £75,000 (up to £80,000 for exceptional candidates), • Bonus: ~20% + £5k car allowance, • Working model: Hybrid (1 day per week in office – London), • Tech stack: Python, SQL, Azure ML, GraphDB, • Visa sponsorship: Available Interested? Please apply below.

New Role - Applied Data Scientist (Specialty Insurance) This role will apply advanced analytics and modelling to improve risk selection, pricing decisions, and claims insight across speciality insurance lines including Renewables, D&O, Credit and Marine. The role will sit at the intersection of underwriting judgement, actuarial thinking, claims insight, and modern data science and will involve a secondment into the Innovation team, helping shape a cross-line analytics capability that strengthens decision-making across the underwriting lifecycle. The Candidate - • Between 2-5 years' experience in an insurance pricing team, • Strong applied data science capability - using Python/R to apply statistical modelling and machine learning techniques, • Understanding of statistical and analytical foundations - probability theory, GLMs, time series analysis, • Comprehension of modern machine learning techniques and modelling approaches - random forest, XGBoost, GBMs, • Solid SQL, data handling and data visualisation skills Salary - £60,000 - £100,000 Location - London (Hybrid) If you're a data scientist with insurance experience then please get in touch via email -

A fast-growing London-based fintech is hiring a Data Scientist to help build and enhance machine learning models across credit, fraud and pricing. The opportunity • Build and improve ML models for decisioning and analytics, • Support model deployment and performance monitoring, • Partner with stakeholders to deliver data-driven insights, • Support the development and implementation to the company's wider AI roadmap Your background • c.1-2 years of experience in Data Science within financial services or fintech, • Strong Python and SQL skills, • Experience applying machine learning in a commercial environment, • Ability to communicate insights clearly to non-technical stakeholders, • Ideally exposure to modelling in credit, fraud or pricing.

Automated Formulation Scientist London, UK On-site (with flexibility for hybrid working) We’re partnered with an early-stage platform biotech startup emerging from stealth, backed by leading venture capital investors. The company is building AI-driven “self-driving laboratories” designed to transform how drug products are developed. Their platform combines robotics, automation, and machine learning to explore vast formulation spaces, automatically design and run experiments, and continuously learn from the results. By replacing traditional trial-and-error experimentation with high-throughput automated workflows, they aim to reduce formulation development timelines from months to days while unlocking medicines that were previously too complex to develop. Operating at the intersection of biotech, robotics, and AI, the team is building the next generation of laboratory infrastructure to accelerate pharmaceutical innovation. This is a rare opportunity to shape how an AI-powered formulation platform is applied to real drug development challenges. You will be a scientific anchor: defining what gets tested, how it gets measured, and what the results mean, in close partnership with data scientists and automation engineers. Responsibilities • Design and execute formulation studies for biologics (mAbs, proteins, peptides+)., • Pioneer new formulation development technologies., • Define experimental conditions for optimisation, framing scientific problems so their ML platform can learn from them effectively., • Develop and apply analytical methods to assess critical quality attributes., • Develop new accelerated characterisation methods suited to high-throughput screening., • Design protocols for biologic formulation automation, with a focus on robustness and traceability., • Work with their Automation team to scale methods onto robotic platforms and with Engineering to ensure data is captured cleanly and in structured formats. Requirements • Advanced degree PhD/ MSc with industry experience in pharmaceutics, biopharmaceutics, or formulation science, with a focus on biologics., • Hands-on experience with excipient selection, protein stability mechanisms, and formulation assessment for biologics., • Practical command of characterisation techniques., • Comfortable interpreting analytical data and making formulation decisions at startup pace, balancing scientific rigour with speed., • Clear communicator who can work across scientific and engineering disciplines. Desirable • Experience with high-throughput experimentation or automated liquid handling platforms (e.g., Hamilton, Tecan, Opentrons)., • Python or scripting skills for data analysis and visualisation., • Experience working with or developing ML models., • Familiarity with robotic workflows or automation-friendly SOP design., • Background in early-phase drug product development or CMC. Benefits • Competitive base salary alongside a meaningful equity package, giving you the opportunity to share in the company’s long-term success., • The chance to have real autonomy and impact within an early-stage startup, helping shape both the scientific direction and the development of the platform., • Direct exposure to founders and the C-suite, with the opportunity to influence strategy and decision-making as the company scales., • A beautiful, collaborative lab and working space in the heart of Central London, designed to bring scientists, engineers, and data teams together., • Hybrid flexibility, balancing hands-on lab work with the ability to work remotely where appropriate. Interested? Apply and we will be in touch!

Business Director - Marketing Science London £75,000-£85,000 We’re hiring: Business Director – Marketing Sciences (Marketing Analytics & Effectiveness) Are you a senior analytics leader who loves turning data into real business growth? We’re looking for a Business Director to lead high-impact marketing effectiveness and analytics work, partnering with senior stakeholders and shaping how data drives marketing decisions. This is a leadership role for someone who’s part strategist, part data scientist, part trusted advisor. What you’ll do • Lead complex marketing effectiveness & measurement projects (e.g. MMM/econometrics, experimentation, forecasting), • Partner with senior stakeholders as a trusted analytics advisor, • Translate business challenges into data-led solutions and products, • Shape new analytics offerings and push innovation in how marketing performance is measured, • Support day-to-day media planning & optimisation with analytical insight, • Lead and develop a team of analysts – technically and professionally, • Embed a culture of testing, experimentation and learning What we’re looking for • Strong analytical background (stats, econometrics, maths, economics, science or similar), • Extensive experience in marketing analytics / consultancy / agency-side analytics, • Proven track record delivering analytics projects that influence senior decision-makers, • Expertise in 2+ of:, • Econometrics / Marketing Mix Modelling, • Forecasting, • Machine learning for marketing, • A/B & multivariate testing, • Advanced survey analytics (segmentation, driver models, etc.), • R fluency is essential (R Shiny desirable), • Python / SQL / VBA / SPSS also a plus, • Confident communicator who can simplify complex insights for non-technical audiences, • Comfortable working independently and leading multiple workstreams Why join? • Work on meaningful, high-impact marketing challenges, • Help shape the future of analytics and effectiveness, • Lead smart people and build innovative products, • Be part of a culture that values growth, openness, creativity and development, • Strong benefits, flexibility, and support for wellbeing Interested? DM me or apply #Hiring #MarketingAnalytics #DataScienceJobs #Econometrics #MarketingEffectiveness #LeadershipJobs #AnalyticsLeadership

Lead Data Scientist (Agentic AI) | Tech Start-Up | Up to £120,000 + Shares | London / Hybrid (2 Days Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead Data Scientist. This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions — working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence. Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency. The Role As Lead Data Scientist, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Lead Data Scientist include: • Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments, • Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks, • Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

Senior Data Scientist London A rare chance to join a growing data and AI business that blends proprietary software with hands‑on analytical consultancy. You will work on cutting‑edge machine learning products used by financial services clients, quant teams, and large enterprise customers. The Company They are an established data and software organisation, their dual offering combines in‑house tools with consultancy, giving clients both scalable products and deep technical support. The Role • Build, train, and optimise machine learning models used by financial services clients and quant teams., • Develop LLM‑based solutions including finetuning, conversational agents, and NLP‑to‑LLM pipelines., • Contribute to proprietary data assistance products designed for analytical workflows., • Work across Python‑based modelling, experimentation, and error analysis., • Collaborate closely with engineering teams while leveraging an existing deployment function., • Support continuous improvement across modelling strategies, feature engineering, and evaluation methods. Your Skills and Experience • Strong commercial experience using Python for machine learning., • Solid grounding in maths, statistics, or a related quantitative discipline., • Background working with financial services data or trading‑focused models., • Experience building ML models end‑to‑end, including optimisation and error analysis., • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques., • Comfortable working in a collaborative environment with engineers and product teams. What They Offer • Opportunity to work directly with senior leaders and impact product direction., • A modern tech environment and a team of experienced data scientists to collaborate with. How to Apply If this role sounds like the right next step, send your CV to be considered.

Senior Marketing Science Specialist – AI-Enabled Analytics 📍 London, UK (Hybrid) 💰 £60,000 – £80,000 + package (depending on experience) ❗ Sponsorship is not available for this role The Data Gals have been retained by a leading global marketing and performance agency to hire a Senior Marketing Science Specialist to join their growing analytics and measurement function. This is a newly created, high-impact role offering significant autonomy and direct exposure to senior leadership. It is a hands-on MMM role with a strong emphasis on building and prototyping new approaches to measurement using AI. You will join a large, established analytics team (≈40 people) while working closely with the Chief Data Officer, supporting proof-of-concept development and experimentation. Your work will directly influence how multi-million-pound media budgets are allocated and optimised across global clients. This role is ideal for someone who enjoys building, testing ideas quickly and pushing beyond a traditional modelling remit. The Role MMM Modelling & Measurement • Build, run and interpret Marketing Mix Models (MMM) to understand drivers of marketing performance, • Apply statistical modelling to deliver robust insights into channel effectiveness, • Translate modelling outputs into clear, actionable insights for internal stakeholders Incrementality Testing & Measurement Innovation • Support the development of automated incrementality testing frameworks across programmatic platforms, • Contribute to building a centralised database of testing insights, • Work with modern approaches to measurement and experimentation AI-Enabled Analytics & Prototyping • Apply AI and generative techniques to accelerate model development and automate insight generation, • Prototype new measurement approaches using modern tools and workflows, • Support the development of proof-of-concept analytics products alongside the CDO Data Products & Internal Tools • Develop lightweight tools, dashboards, and interfaces that allow teams to interact with model outputs and scenarios, • Contribute to new measurement products and internal analytics capabilities, • Explore how AI can enhance modelling pipelines and decision-making What We're Looking For • 5+ years’ experience working with Marketing Mix Modelling (MMM), • Strong statistical and econometric modelling expertise, • Hands-on experience with Python and data analysis workflows, • Exposure to Bayesian modelling approaches, • Experience with data visualisation tools (Plotly, Dash or similar), • Familiarity with cloud environments (e.g. AWS), • Curiosity and practical experience using AI tools to enhance analytical workflows Mindset & Attributes This role suits someone who is: • Curious and experimental – enjoys exploring new approaches, • Comfortable working independently with autonomy, • Interested in combining MMM expertise with AI-driven innovation, • A strong communicator, able to clearly explain complex modelling outputs, • Motivated by building and testing new ideas, tools, and prototypes Apply today or send your CV to

Data Scientist Central London | Hybrid £60–70k + Equity We’re partnered with a high-growth, VC-backed FinTech in the payments space that’s continuing to invest heavily in its data capability as the business scales. They’re now looking for a Data Scientist to join their Finance & Data team and help turn complex datasets into insights that drive smarter decisions across the business. This is a hands-on Data Scientist role where you’ll be working closely with senior leadership as well as teams across product, engineering, marketing and operations. The work you do as a Data Scientist will feed directly into commercial and product decisions as the company continues to scale. You’ll analyse large datasets, build models, and create dashboards that help teams understand performance and trends across the organisation. They’re looking for a Data Scientist who can go beyond reporting and help shape decisions by challenging assumptions and translating data into clear, actionable insight. This role suits a Data Scientist who enjoys solving real problems, working closely with stakeholders, and operating in a fast-growing fintech environment. Experience needed • 2–5+ years experience as a Data Scientist, • Strong Python or R for analysis and modelling, • Strong SQL, • Strong experience working with dbt, • Understanding of data modelling and orchestration, • Solid understanding of statistics, experimentation, or quantitative analysis, • Experience working with modern data warehouses (Snowflake, Redshift etc.) Drop me a message or email if you’d like to hear more.

Senior Data Scientist London (On-site) £80,000 – £90,000 We’re partnering with a global software provider in the energy and utilities sector to hire a Senior Data Scientist to join a high-impact, innovation-focused team. This is a fantastic opportunity to work on cutting-edge and data initiatives, helping shape advanced analytics products used across international markets. The Opportunity As a Senior Data Scientist, you’ll work at the intersection of data, AI, and product development, delivering actionable insights and building scalable models that power real-world applications. You’ll collaborate closely with engineering, product, and business stakeholders, playing a key role in both discovery and delivery of data-driven solutions. What You’ll Be Doing: Data & Insight • Analyse complex datasets to uncover trends, patterns, and business drivers, • Translate insights into clear, compelling narratives and visualisations, • Design, build, and validate machine learning models, • Develop modelling inputs for AI pipelines and platforms, • Implement robust evaluation methods (A/B testing, causal analysis), • Work with data engineers to optimise data pipelines and quality, • Support deployment and monitoring of models in production, • Partner with stakeholders to embed data-driven decision-making What We’re Looking For: Essential: • Strong experience with Python, SQL, and data analysis, • Solid background in statistical modelling & machine learning, • Proven experience building and deploying models end-to-end, • Strong problem-solving mindset with a pragmatic approach, • Postgraduate degree in a relevant field (Data Science, Statistics, etc.) Nice to Have: • Experience with cloud platforms (AWS, Azure, GCP), • Familiarity with MLOps and production environments, • Exposure to energy, utilities, or telecoms data, • Ability to communicate technical concepts to non-technical stakeholders Interested? Apply now or message me directly to learn more — all conversations will be confidential.

New Contract Opportunity for an eDV Cleared Data Scientist with an Industry-Leading National Security Consultancy in London. • Active eDV Required, • Up to £680 p/d Inside IR35, • 12-month engagement, • Urgent requirement - ASAP start, • 5 days on site in central London The Role: You will develop mission-critical data solutions for National Security clients. You will contribute to advanced projects across AI, cybersecurity, cloud, big data and digital transformation, helping to shape the future of national security. Working with datasets of varying scale, you will cleanse, integrate and analyse data to enable faster, more informed decision-making that supports the safety of the nation. Key Responsibilities: • Design and deliver data science solutions in support of national security operations., • Develop and optimise pipelines to process large, complex datasets., • Apply machine learning and statistical methods to generate actionable insight., • Produce clear visualisations to communicate results to stakeholders., • Work within agile teams to deliver robust, scalable systems., • Support cloud deployments and integration into live operational environments. Seeking Experience in most of the following: • Python or similar scripting languages for data exploration and preparation., • Machine learning and statistical methods, including model validation., • Data analytics and visualisation techniques., • Processing large datasets using batch or streaming tools such as Apache Spark., • Data acquisition and fusion approaches., • Cloud platforms (ideally AWS) and cloud-based data science solutions., • DataOps principles and practices., • Structured and unstructured databases., • Container technologies, including Docker and Kubernetes., • Agile delivery methods., • Software engineering best practice, including version control and CI/CD pipelines., • Linux environments. Why Apply? • Work on mission-critical UK Government projects with real-world impact, • Join a leading consultancy known for innovation and technical excellence, • Long-term engagement with competitive day rate and secure on-site environment

Staff Data Scientist London, Hybrid Salary up to £110,00 plus benefits This is an opportunity to take ownership of marketing measurement at scale, building advanced analytics that shape how a high‑growth consumer business invests, learns and optimises. You will have real influence, working directly with senior leaders to define strategy and deliver meaningful commercial impact. The Company They are a well‑established, product‑led consumer marketplace with a large, engaged user base. Operating in a mobile‑first environment, they place data at the centre of decision making and continue to invest heavily in Marketing Analytics to support ambitious growth plans. They are building out their measurement capabilities and offer the chance to own complex analytical programmes across attribution, incrementality and customer value. The Role • Lead the development of marketing measurement frameworks across paid channels, including attribution, incrementality testing and customer value modelling., • Build and productionise analytical models in Python or R to support performance optimisation and strategic planning., • Partner with senior marketing stakeholders to guide investment decisions through clear, data‑driven insight., • Collaborate with analytics, data engineering and AdTech teams to ensure accurate tracking, robust data foundations and consistent measurement approaches., • Support BAU reporting and performance monitoring through BI tools, ensuring teams understand key drivers and outcomes. Your Skills and Experience • Strong commercial experience in Marketing Analytics within a digital or mobile‑first environment., • Expertise across paid media channels and the data they generate, including platforms such as Google, Meta and TikTok., • Hands‑on proficiency with SQL and Python or R, including building models for attribution, LTV and testing methodologies., • Experience working with mobile measurement partners (such as Branch, Appsflyer or Kochava)., • Strong communication skills and the ability to simplify complex analysis for non‑technical audiences. HOW TO APPLY: Apply by sending your CV to Joe by the link below

Senior Data Scientist – Core Products About the business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace. About the Role: The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. Effective communication with stakeholders is essential, ensuring that business requirements are clearly translated into technical solutions. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities. Responsibilities: • Hands-On Development - Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach., • Mentorship - Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices., • Collaboration - Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium’s strategy., • Communication & Business Application - Communicate complex analytical concepts clearly to non‑technical stakeholders, including senior leadership, focusing on business outcomes., • AI Adoption - Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams., • Leadership & Ownership - Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment. Requirements: • Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives., • Excellent Python and SQL skills., • Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production., • Data engineering skills, with the ability to manipulate and process data at scale., • Curiosity to explore and delve into emerging capabilities with a clear link to commercial value., • Highly self-directed, capable of managing tasks, projects, and stakeholders independently., • Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles., • Demonstrated track record of implementing and fine-tuning LLM/AI workflows., • Strong competency leveraging Gen AI in your daily tasks to speed up efficiency., • Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers., • Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Generous holiday allowance with the option to buy additional days ● Health screening, eye care vouchers and private medical benefits ● Wellbeing programs ● Access to a competitive contributory pension scheme ● Save As You Earn share option scheme ● Travel Season ticket loan ● Electric Vehicle Scheme ● Optional Dental Insurance ● Maternity, paternity and shared parental leave ● Employee Assistance Programme ● Access to emergency care for both the elderly and children ● RECARES days, giving you time to support the charities and causes that matter to you ● Access to employee resource groups with dedicated time to volunteer ● Access to extensive learning and development resources ● Access to employee discounts scheme via Perks at Work

Senior Data Scientists Hybrid working pattern Who we are • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung., • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. As a Senior Data Scientist in our London office, your role will encompass: • Designing and implementing advanced data science and machine learning solutions to solve complex business problems., • Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees., • Supervising and mentoring team members on code, deployment, and best practices. Necessary education and experience • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field., • Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders., • Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference., • ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines., • Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces., • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus., • Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray., • Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Data Scientist / Applied AI – Fintech Lending London / Hybrid We’re working with an exciting London-based fintech lender looking to hire a commercially minded Data Scientist / Applied AI professional to help turn a strong data foundation into real business insight, better decision-making and smarter internal processes. This is a brilliant opportunity for someone who enjoys solving real business problems with data, rather than sitting purely in a research-led environment. You’ll work closely with senior leadership, helping shape how data science and AI can support pricing, customer understanding, process improvement and internal efficiency across the business. The business has already built strong core data foundations and is now looking for someone who can take that further — identifying opportunities, building solutions and delivering practical value. The role will involve: • Using data to improve commercial decision-making, • Supporting pricing analysis and helping the business better understand customer value, • Building insight-driven solutions around customer behaviour and performance, • Identifying opportunities to improve internal processes through data and AI, • Leveraging both traditional data science techniques and newer AI tools/workflows where appropriate, • Working closely with the CTO, CEO and Head of Operations on business-critical problems, • Taking ownership of problems from idea through to solution What they’re looking for: • Around 3–5 years of commercial experience in Data Science / Applied AI / advanced analytics, • Strong Python skills, • Solid grounding in traditional data science and statistical thinking, • Experience working with modern data environments / warehouses, • Ability to work independently and operate as a genuine self-starter, • Strong communication skills and the ability to engage with senior stakeholders, • Commercial mindset — someone who enjoys solving business problems, not just technical ones, • Fintech, lending, credit, risk or broader financial services experience would be highly beneficial Ideal profile: This role would suit someone who is likely in their second or third move and has already built strong hands-on experience in a commercial environment. The ideal person will be technically strong, curious, pragmatic and excited by the chance to shape how data science and AI are used in a growing fintech business. Why this role? • Opportunity to work directly with senior leadership, • Chance to help define and build the data science capability in a scaling business, • Real ownership and visibility, • Strong blend of commercial impact, technical challenge and autonomy, • Opportunity to work on meaningful problems in a data-rich fintech environment If this sounds of interest, please apply or get in touch directly for a confidential conversation.

The Role: We're on the lookout for a Data Scientist who brings genuine depth in both data engineering and visualisation. You'll be joining a growing Data & Analytics team and stepping into a role that spans the full data journey - from architecting robust pipelines to turning complex datasets into insights that people actually act on. If you're someone who's equally comfortable crafting polished Tableau dashboards, this one's for you. What You'll Be Doing: • Design and maintain scalable data pipelines using PySpark and SQL across distributed environments, • Wrangle and analyse large, complex datasets to surface meaningful patterns and trends, • Build data science solutions in Python - spanning exploratory analysis, predictive modelling, and workflow automation, • Develop clear, interactive Tableau dashboards that make insights accessible to stakeholders at every level, • Bridge the gap between raw data and business understanding through intuitive, well-crafted visualisations, • Partner with business teams to understand their needs and translate them into practical, data-driven solutions, • Own data quality and integrity across pipelines, transformations, and reporting outputs, • Deliver production-grade work that's built to scale What We're Looking For • Hands-on experience with Python, SQL, PySpark, and Tableau, • A strong track record building end-to-end Tableau dashboards, from data preparation through to final delivery, • Solid PySpark experience, particularly for large-scale data processing and pipeline development, • A firm grasp of data transformation, modelling principles, and big data environments, • Versatility across both data science and data engineering disciplines, • A sharp analytical mindset with a focus on generating insights that drive real decisions 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

About the Role Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation. What You’ll Do Measurement & Incrementality Leadership • Lead analysis and selection of key measurement solutions, • Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference), • Apply methods such as Difference-in-Differences and propensity score matching, • Interpret brand uplift, conversion, and ID graph data, • Translate statistical outputs into clear, executive-ready insights, • Lead post-campaign analysis and client-facing narratives, • Develop repeatable analysis frameworks and playbooks, • Standardise insight delivery across campaigns, • Mentor and train Optimisation teams on:, • Statistical thinking, • Experimental design, • Measurement interpretation, • Build models to explain:, • Geo-level performance variation, • Audience and creative effects, • Frequency and saturation dynamics, • Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation, • Explore automation and AI-assisted measurement workflows What We’re Looking For Core Experience • 5–8+ years in applied data science, • Strong grounding in causal inference & experimentation, • Experience with media, campaign measurement, or advertising data, • Advanced Python & SQL, • Experience with large-scale event/log-level datasets, • Ability to translate complex analysis into business insight, • Comfortable using AI tools in modern data workflows Nice to Have • CTV / programmatic / performance marketing experience, • Incrementality testing & geo experiments, • ID graphs / enriched consumer datasets, • Cloud environments (AWS, Snowflake), • Campaign insights are deeper, more rigorous, and more commercially impactful, • Clients recognise our measurement capability as a key differentiator, • Optimisation teams become more analytically confident, • Repeatable frameworks scale across campaigns Why Join Broadlab? Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.

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 per annum, • Location: Hybrid, 2-3 days per week in London

Do you want to build AI systems that let users query complex datasets in natural language? Have you worked with machine learning models and wondered how they can power conversational analytics? Are you ready to apply LLMs and advanced analytics to financial market data? A London-based AI software company is developing conversational analytics platforms that allow organisations to interact with complex datasets through natural language. Their technology combines traditional NLP systems with modern LLM capabilities to create intelligent data assistants and private enterprise language models. The company is expanding its data science team to support the next stage of product development, including financial data tools designed for organisations operating around the London Stock Exchange ecosystem. This Senior Data Scientist role sits within a small, highly technical team building the core models powering these products. You will work on machine learning systems that drive conversational analytics, experimentation pipelines, and domain-specific models for financial data. Key Responsibilities • Build and optimise machine learning models for conversational analytics products, • Develop LLM-driven systems including fine-tuning and prompt pipelines, • Apply statistical modelling and quantitative analysis to financial datasets, • Conduct feature engineering, model evaluation, and experimentation, • Work with engineering teams to integrate models into AWS-based platforms, • Support development of AI systems used by quantitative and financial users Key Details • Salary: £65,000 – £70,000, • Working model: Hybrid, 1 day per week in Canary Wharf, London, • Tech stack: Python, ML algorithms, NLP, LLMs, AWS, • Visa sponsorship: Not confirmed Interested? Please apply below.

Data Scientist (Machine Learning & Generative AI) – Contract 📍 London (Hybrid – 2 days onsite) 💼 Long-term Contract (Inside IR35) The Opportunity We’re hiring multiple Data Scientists to join a major, enterprise-scale programme focused on machine learning and Generative AI innovation. This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions, including LLM-powered applications, NLP pipelines, and emerging agentic systems. You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful AI use cases at scale. Key Responsibilities • Build, deploy, and optimise machine learning and NLP models in production, • Develop end-to-end data science pipelines, • Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering), • Work with BigQuery ML and cloud platforms for large-scale modelling, • Translate business challenges into scalable data solutions, • Collaborate with cross-functional teams across engineering and business, • Mentor junior team members where required Required Experience • 10+ years in Data Science, Machine Learning, or AI Engineering, • Strong Python skills and experience with ML frameworks, • Proven track record delivering end-to-end ML/NLP solutions, • Hands-on experience with Generative AI (LLMs, embeddings, prompting), • Experience with cloud platforms (GCP, AWS, or Azure), • Exposure to BigQuery ML or similar platforms Preferred Experience • Background in financial services or regulated environments, • Experience with fraud, risk, or customer analytics, • Exposure to LLM applications or agentic AI systems, • Mentoring or leadership experience