9 of 9 Remote Senior Data Scientist Jobs in Central London

are 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 Data Scientist, 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 … 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 ❯

are 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 Data Scientist, 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 … 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 ❯

are 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 Data Scientist, 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 … 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 ❯

Senior Data Scientist Up to £80,000 Location (Hybrid, 3 days per week) Company: Join a dynamic consultancy that has undergone an exciting rebrand since 2020, pivoting their focus towards customer-centric, data-driven solutions. Partnering primarily with private equity-backed businesses, they offer a powerful customer insight product designed to help organisations better understand and … maximise the value of their customer base. Responsibilities: Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders … to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Communication skills – able to translate complex insights into business value Strong experience with clustering, time-series forecasting, and regression techniques. Experience More ❯

Senior Data Scientist Up to £80,000 London (Remote First) Company: Join a leading B2B Travel and Hospitality company that partners with major global airlines and hotel brands. In this role, you’ll drive revenue growth and elevate the e-commerce experience by leveraging advanced forecasting, automation, and data-driven insights. Responsibilities: Lead technical efforts to … propose initiatives to shape the long-term scientific vision. Own and actively contribute to the design and development of internal machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models More ❯

Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit … of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data … a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a target More ❯

Senior Data Scientist – Consumer Credit Modelling Hybrid – London | Up to £75,000 DOE + Benefits Ref: J12979 We’re working with a consumer finance business that’s rethinking credit, making it fairer, simpler, and powered by data. Think challenger fintech with a clear focus on transparency and real-world impact. The Role You’ll take full ownership … and deploying ML models that directly shape decisions across underwriting, fraud, and customer conversion. It’s a hands-on, end-to-end role, working with both structured and unstructured data in a collaborative, fast-paced team. What We’re Looking For Strong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Good grasp of ML … algorithms, not just how to run them Clear communicator across technical and non-technical teams Solid awareness of data drift and model monitoring Excellent data visualisation—You know how to make ideas land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Exposure to deep learning (Keras, TensorFlow) Familiar More ❯

Lead Data Scientist Up to £100,000 London (Remote/Hybrid) Company: This is a pre-seed startup on a mission to rethink how content gets made. The media landscape is more competitive than ever, and the old ways of creating and testing content just don’t cut it anymore. They’re using data and AI to … shape stories that actually land with under-served audiences. Responsibilities: Work closely with the founder to translate visionary ideas into practical, data-driven experiments and models. Analyse audience behaviour data and build AI-driven tools (like synthetic test groups) to predict content success. Collaborate with product, creative, and tech teams to embed data insights into content creation … and decision-making. Identify data gaps and design tracking or instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. 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 More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯