City of London, London, United Kingdom Hybrid / WFH Options
Harnham
DataScientist (Market Research) Up to £60,000 London (Remote/Hybrid) Company: Join consulting and advisory firm that works on political research in both the UK and US to solve complex business challenges. Their mission is to help clients improve performance, adapt to change, and achieve sustainable growth across various industries. Responsibilities: Working with market research datasets … including primary quantitative survey data and complex, messy data sources like census data. Maintain and develop a library of reusable R functions that support our market research work. Run and build on regression, segmentation, and SRP models Build election models that inform key decisions. Deliver actionable insights around political trends, reputation, and crisis response. Requirements: MSc or PhD More ❯
Contract - Senior DataScientist - Econometrics & Advanced Attribution Initial project commitment: 10 days per month/1 year Location: London/Hybrid - UK remote possible Type: Part time/Contract Day Rate: Outside IR35 Job Reference: J12972 About the Company Our client is a fast-growing Data Science, Machine Learning, and AI Consultancy supporting leading private equity firms … and high-growth businesses in the UK and Europe. Their work includes strategic data science, AI product development, and long-term technology partnerships. They aim to evolve into the UK's first data-native investment firm, raising their own fund and co-investing with private equity partners using advanced analytics and AI to drive returns. Projects range from … bespoke consulting and modelling to scalable AI solutions in marketing, operations, and investment analytics. The Role Seeking a Senior DataScientist with expertise in econometrics and advanced attribution modelling to lead a key client engagement with a prominent education business. Responsibilities include end-to-end ownership of Marketing Mix Modelling (MMM), working with senior stakeholders to achieve measurable More ❯
Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. … residential and commercial property perils, motor insurance, SME business covers, travel, pet and health insurance. To feed our risk models we source many diverse datasets covering high resolution weather data, property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. In claims solutions we support end-to-end claims handling … real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a DataScientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and More ❯
We have an exciting opportunity for a DataScientist to join our growing team. As a DataScientist, you will be instrumental in developing robust analytical data sources and creating tools to help synthesise health and safety data. You'll be part of an analytical team working closely with HSE's technical and regulatory specialists. More ❯
A leading AI Analytics startup is looking to hire a DataScientist to work on their latest AI products. Their cutting-edge platform turns complex data into actionable insights with intuitive AI tools and advanced visualization features, empowering users to make informed decisions effortlessly. Trusted by top defense agencies and Fortune 500 companies, They are expanding rapidly … and are looking for a talented DataScientist to join their dynamic team! What You'll Do: Design, implement, and deliver AI-powered solutions tailored to meet client needs using advanced analytics tools. Collaborate closely with clients to guide AI solutions from concept to full-scale deployment. Utilize big data tools and platforms, such as Databricks, to More ❯
DataScientist - AI/GEOINT Innovation We are seeking an experienced DataScientist to support GEOINT automation and AI development at NGA Headquarters in Washington, DC. This role blends mission-focused automation with cutting-edge AI/ML tool development, supporting innovation efforts within NGA Source. The ideal candidate will have experience in geospatial analytics, automation … scalable, tech-driven solutions Required Qualifications: Active TS/SCI clearance (CI polygraph preferred or willingness to obtain) Proficiency in Python and experience with JEMA Strong understanding of GEOINT data, automation, and tasking systems On-site availability with limited telework flexibility Strong verbal, written, and technical presentation skills Preferred Qualifications: Experience with AI/ML applications (e.g., computer vision More ❯
This is an opportunity for a DataScientist to play a key role in building Machine Learning and AI Solutions for an Insurance client, leveraging cutting-edge MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently. Responsibilities: Take a lead role in the design and development of machine learning models, including … propensity models and recommender engines. Build predictive modelling solutions. Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem. Ownership for the delivery of core solution component. Manage the design and delivery of the data architecture. Communicate and present findings and recommendations to stakeholders and customers. Work directly with … Learning. Extensive experience with Azure ML Studio, ML Flow, Databricks, Propensity Models and Recommender engines. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage) from various data sources. Writing and reviewing data science code, proficient in Python, C#, SQL, R, or other programming languages for dataMore ❯
Quantitative Researcher/Investment DataScientist - Emerging Market Fixed Income Job details Location: London Date Posted: 10 October 2018 Category: Investment Job Type: Competitive Salary + bonus Description A leading Asset Management firm is looking to add a Quantitative Researcher to their Emerging Market Fixed Income team. The role will be responsible for applying data and statistical … fixed income markets. Develop enhancements to existing fixed income, macro econometric, and portfolio models. Help create new, proprietary datasets on market flows and positioning, creating initial visualization of this data for Portfolio Managers. Conduct platform maintenance and development, including database design, package development, front-end web apps, and maintenance of legacy code using technologies such as SQL, R, Python … Shiny, and Docker. Candidate Profile: Relevant experience as a quantitative analyst, datascientist, or software developer interested in applying their skills to macroeconomics and its impact on EM fixed income markets. Aware of the latest developments within the Data Science community and current best practices for software development. Strong communication skills and a "can do" attitude. An More ❯
Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions … and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. We are seeking an exceptional Geospatial DataScientist (GDS) to join our team at the cutting edge of data focused geospatial analytics. This role sits at the critical intersection of remote sensing, computer vision, machine learning, and data science. The ideal candidate will possess advanced knowledge of raster-level geospatial data, comprehensive understanding of collection metadata, and expertise in various sensing phenomenologies including Electro-Optical (EO), Infrared (IR), and Synthetic Aperture Radar (SAR). This position is pivotal in bridging the gap between geospatial data expertise and machine learning applications. Responsibilities: Analyze and process complex More ❯
We are the industry experts delivering actionable maritime insight, data, technology, and analytics trusted by 60,000 professionals across the globe to drive commercial advantage, evaluate risk, and support the efficient and lawful movement of seaborne trade. Our data is collected only from the most reputable partners and accurate sources, many of which are exclusive to us and … our customers. Our advanced analytics, artificial intelligence, and industry expertise transform our unparalleled data into powerful insight delivered through data and analytics platforms and services, news and commentary, and publications that help professionals in maritime operations, risk, and compliance stay well informed. Leading seaborne trade through change with data transparency, innovative technology, and human ingenuity. Role Profile … The DataScientist will join our advanced analytics group to assist us in building various advanced statistical, deterministic and machine learning models to create behavioural profiling on a range of data features relating to the global shipping fleet. This role involves leading a team and customer-facing interactions: Analytical model explainability is a core principle in how More ❯
Cyberstrike Group proudly represents a leading military-focused cyber and systems engineering consultancy in their search for a DataScientist III with a valid TS/SCI FSP clearance. Key Requirements: - Bachelor's Degree with 10 years of relevant experience, or an Associates degree with 12 years of experience may be considered for individuals with in-depth experience … clearly related to the position - Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science - Alternatively, a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component … may be considered if it includes a concentration of coursework in advanced Mathematics and/or computer science. - Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (e.g. Python), statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering - Experience in more than three areas More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
DataScientist – AI/ML Contract | Remote (UK-based) Inside IR35 SR2 is supporting a high-profile programme seeking experienced Data Scientists with strong AI/ML expertise to design, develop, and deploy advanced models into production. You’ll join an established delivery team working on impactful, data-led projects with real-world outcomes. What you … ll be doing: Design, build, and optimise AI/ML solutions for complex business problems Collaborate with fellow data scientists to develop and productionise models Troubleshoot, debug, and refine model code Partner with cross-functional teams to translate business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL … risk signals and clusters Desirable skills: Rank aggregation/ensemble methods (e.g. Robust Rank Fusion) Model explainability tools (SHAP, LIME) Model monitoring & drift detection Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience. More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
DataScientist – AI/ML Contract | Remote (UK-based) Inside IR35 SR2 is supporting a high-profile programme seeking experienced Data Scientists with strong AI/ML expertise to design, develop, and deploy advanced models into production. You’ll join an established delivery team working on impactful, data-led projects with real-world outcomes. What you … ll be doing: Design, build, and optimise AI/ML solutions for complex business problems Collaborate with fellow data scientists to develop and productionise models Troubleshoot, debug, and refine model code Partner with cross-functional teams to translate business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL … risk signals and clusters Desirable skills: Rank aggregation/ensemble methods (e.g. Robust Rank Fusion) Model explainability tools (SHAP, LIME) Model monitoring & drift detection Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience. More ❯
used Sports Betting website in the countries we operate in. With millions of weekly active users, we strive to be the best in industry for our users. As a DataScientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our … more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in … developers, traders and product developers to better understand business requirements and deliver end product to the clients Implement and test the researched fixed income models using the risk research data Liabilities and probabilities calculations Requirements Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models 3+ More ❯
Lead Decision/DataScientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building … impactful financial products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide … a growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯
Lead Decision/DataScientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building … impactful financial products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide … a growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯
Lead Decision/DataScientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building … impactful financial products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide … a growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯
london (city of london), south east england, united kingdom
Harnham
Lead Decision/DataScientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building … impactful financial products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide … a growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯
leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. As a Senior DataScientist you will sit within the Experimentation Platform Team, where you'll be working on developing and maintaining our in-house experimentation platform running all experiments at Viator. … work from one of our European offices (Oxford, London, Lisbon or Krakow) or to be fully-remote with regular travel to offices for collaboration. Responsibilities We are seeking a DataScientist who will: Work proactively to identify opportunities for improvement in experimentation methodologies, ensuring best practices in line with the latest advances in the industry. Employ advanced statistical … techniques to ensure the validity and reliability of experimental findings. Build and maintain data pipelines relevant for experiment analysis. Identify and apply causal inference techniques to solve business problems. Work with cross-functional stakeholders in determining requirements for building a world-class experimentation platform. Key Requirements A postgraduate degree in statistics, machine learning, or similar OR demonstrable experience with More ❯
Job Description Machine Learning Researcher/DataScientist Global Investment Firm J Harlan Group is currently conducting a search for a Machine Learning Researcher/DataScientist at a prominent Global Investment Firm in NYC. Machine learning researchers at the firm create novel machine learning approaches to financial applications. They utilize their creativity and innovation to … types of learning and AI, including deep learning and statistical learning, are potentially relevant. You'll work with smart, talented people across their business to create groundbreaking, next-generation data intensive machine learning applications. You'll be involved, hands-on, through the entire cycle. They will expect you to be agile/to lead/to think outside the … s how we help our clients succeed. Principal Responsibilities: The team is tasked with building next generation of advanced statistical and machine learning methods to produce models and prescriptive data that result in better decisions by their Portfolio Managers, Analysts, and Traders, Quants and/or applications. Specific responsibilities include designing, implementing, testing experimentally and scaling up new models More ❯
our team. We work incredibly hard for our customers and believe deeply in our core values. We're a high-energy, high-growth team and we love to win. DataScientist MOMENTUM is looking for a strong DataScientist to support a NGA project in downtown St Louis with the Geospatial Center of Excellence. This is … Modernization initiative providing enterprise architectural, engineering, operations and sustainment, modification, and testing of geospatial-intelligence core services. This utilizes secure cloud environments, and a modern agile development methodology making data accessible, discoverable, and deliverable to the IC. Candidates must be passionate, energized and excited to work on modern architectures and solve challenging problems for our clients. In this role More ❯
DataScientist - Multimodal LLMs (Speech focus) Location: Manchester, UK (Onsite) ConnexAI is developing an ambitious new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machine learning systems that will power it. We're seeking a datascientist … researchers, and product leaders to design, prototype, and deploy state-of-the-art models. What You'll Be Doing? Researching the state-of-the-art approaches for incorporating audio data into multimodal LLMs for speech-to-text, text-to-speech, and speech-to-speech tasks Implementing and adapting techniques from recent academic papers into practical, production-ready solutions Training … deployable features Contributing to improving the team's workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience) Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python More ❯
is possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non-profits. Join us! About the role As a Senior DataScientist you will be instrumental in shaping the technical backbone of the analytics function at Focaldata. In this role, you'll develop advanced R tools and scalable solutions … the implementation of cutting-edge modelling techniques. You'll collaborate on diverse projects, enhance our analytics infrastructure, and mentor team members in best practices. If you're passionate about data science, skilled in R, and eager to make an impact in public opinion and research, we'd love to hear from you. What you'll do This is a … focus will be: Build internal R packages to automate and standardise core tasks like weighting, modelling, and charting. Develop scalable tooling to support our research and analytics teams-from data pipelines to custom dashboards. Lead the development and deployment of advanced modelling techniques (e.g. multilevel regression, segmentation, random forest models, text analysis). Collaborate with the wider team on More ❯
Senior DataScientist - Product Analytics London, England Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also … service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use … data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
looking for an extra person to join them to work on statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior DataScientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic … and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and bioinformatics, integrating them into ongoing research While pharma/biotech … can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows More ❯