201 to 225 of 335 Data Science Jobs in the City of London

Data Scientist - £80,000 - Hybrid - London Company Overview: My client is a trusted partner for major clients across a range of data and AI driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. … edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development. Role Overview: As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience … to Have: Financial Services Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

Job Title: Data Lead 💰 Salary: up to ~£110k + very generous equity ( of the same value as your salary !) 🌴 Benefits include : unlimited AL, 2 company trips/year, contribution towards your own holiday 📍 Location: Shoreditch (2 office days/week) 💵 Industry: FinTech/Payments Company overview Having raised over £7m at seed stage, this FinTech company is shaking up … s largest players in payments, this company is causing the biggest change to how businesses access card payments in over two decades. Role overview As the company's first data hire , you’ll be tasked with designing, building and owning their data stack. You’ll also be responsible for applying your expertise in quantitative analysis to understand how … their users behave. Your insights will feed into data products that you’ll own, as well as into the wider product strategy. Reporting directly to the CTO/founder and working alongside the founding employees, you'll have a huge impact on the business from day 1 - you'll get to experiment and built innovative products at pace & scale More ❯

Graduate Data Analyst – Financial & Legal Data Modelling £25,000–£35,000 + Bonus | Full-time | Central London (Office-based) Location: London (Zone 1 – near Charing Cross) Sector: Analytics | Commercial Disputes | Legal Data | Graduate Roles We’re working exclusively with a high-performing boutique analytics consultancy that supports legal teams in major commercial disputes. They’re now hiring … a Graduate Data Analyst to join their expert team and play a key role in quantifying financial losses , analysing large datasets, and helping deliver evidence-based reports for high-profile cases. This is a unique opportunity for a numerically gifted graduate to launch their career in an intellectually stimulating and genuinely commercial role. Combining elements of data science, statistical modelling, and financial analytics. 🧠 What you’ll be working on: Reviewing incomplete, inconsistent datasets and making assumptions to fill data gaps Preparing clear, auditable Excel-based reports to support financial claims Writing compelling client-facing reports that communicate your analysis effectively Collaborating with external parties including law firms, suppliers, and data providers Using Excel, Word and More ❯

AI Engineer/Data Scientist Location: London (Hybrid – 1 day per week in-office) Salary: Up to £90,000 + 10% bonus + equity We're looking for a curious, product-minded AI Engineer/Data Scientist to join a high-performing, close-knit team working on cutting-edge AI solutions in NLP and time series. This is … end-to-end testing. Integrating and managing LLM APIs while handling diverse and unpredictable outputs. What You’ll Bring: 5+ years of Python experience and 3+ years working with data science/AI products. Proven track record in NLP/OCR-based AI or ML systems. A strong product focus - solving real user problems is what drives you. More ❯

Data Engineer Location: London (4 days/week on-site) Type: Contract (Outside IR35) Duration: 6 months A leading physical commodities trading firm is seeking a Data Engineer for a 6-month contract (Outside IR35). You’ll work on-site in London 4 days per week, building and optimizing data pipelines in a fast-paced, data-driven trading environment. Responsibilities: Build and maintain scalable data pipelines (ETL/ELT) Support data users with ingestion, debugging, and navigation Integrate data from diverse sources (structured & unstructured) Monitor and ensure data quality Maintain and improve existing production processes Develop dashboards and visualizations Work closely with data scientists and stakeholders Follow CI/CD … and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes and open-source data tools More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing … Data Analyst CPS Group UK are delighted to be working with a leading, global organisation to appoint a Senior Marketing Data Analyst for an initial 6-month duration. Being a key member of the EMEA Analytics & Insights team, this role is critical to the evaluation of strategic marketing initiatives to drive acquisition and improve retention. The Marketing Data … budget allocation for future marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Skills & Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python More ❯

years, successfully developing statistical models for in-house services and identifying opportunities for investment. The successful Quantitative Analyst will work within a well established Quant team analysing very large data sets. Due to the nature of the business this is mainly an office-based role, with some flexibility when settled into the company. Experience required: 2+ years’ experience within … trading but the company are happy to consider traditional finance backgrounds. Strong education background to at least MSc level in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous but is not required The company More ❯

on the lookout for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios. 💼📊 🧠 What You’ll Be Doing : ✅ Data analysis & model development for PD, LGD, and EAD ✅ Building scorecards & stress testing models ✅ Supporting IRB regulatory self-assessments ✅ Identifying data gaps & ensuring quality remediation ✅ Producing clear documentation & reporting … Supporting model calibration and ongoing reviews 🧰 Your Toolkit : 📘 Background in Stats, Maths, Data Science or Engineering 💡 Strong knowledge of IRB, CRR, EBA & PRA regs 🛠️ Proficiency in SAS/SQL/other data tools 🧩 Sharp analytical & problem-solving skills 🗣️ Excellent communication & report-writing abilities 🤝 A proactive team player ready to make an impact 🎯 Why Join? Work at the … forefront of regulatory transformation Collaborate with experienced risk professionals Play a key role in shaping data-driven decision-making Hybrid working & supportive environment 📩 Ready to elevate your risk career? Apply now or message us to learn more! #QuantJobs #RiskAnalytics #CreditRisk #IRB #ModelDevelopment #QuantitativeAnalysis #HiringNow #SQL #SAS #RiskManagement More ❯

the London office a week) IR35 : Outside Contract Length: 6 month (potential for extension) Contact : matthew.makranczy@forsythbarnes.com We are partnered with an award-winning organisation that combines cutting-edge data science with deep expertise in payments data to support financial institutions in the fight against money laundering and fraud. Their innovative, bespoke services help clients uncover the … write high quality Python/Golang and SQL in a production context. You are happy to learn new programming languages and frameworks as necessary. Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes You have experience with, and are interested in, contemporary approaches to service design, including the use of containers … and container orchestration technologies, streaming data platforms, APIs, and in-memory/NoSQL stores. You have experience in resolving different solutions and approaches to problems and can choose between pragmatic and rigorous solutions depending on the situation. You are comfortable working in a devops-based software development workflow, including building, testing, and continuous integration/deployment. You are also More ❯

growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management) Technical & Business Leadership : help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related; 4 years of significant experience minimum (post graduation) in data science or related; As a plus: track record of experience in leading a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background More ❯

guided proprietary drug development platform, Zeus. You will leverage Zeus’s established functionality to discover candidate libraries for testing/development by the wider team, and re-integrate experimental data into Zeus to facilitate ML-based protein engineering strategies. What You’ll Do in This Role This role involves use and continued development of our cutting-edge proprietary candidate … Zeus platform. - You will generate derivatives of these candidates using ML-guided proprietary computational tools previously developed and implemented on the Zeus platform. - You will lead integration of experimental data into Zeus to optimise candidate selection and prioritisation processes. - You will work in our software development team, building cutting-edge functionalities for Zeus. - You will keep excellent experimental/… data records to convey project results accurately and facilitate publication upon project completion. Requirements - You have at least an MSc degree, or preferably, a PhD degree in computational biology, bioinformatics, computer science, data science, synthetic biology or similar. - You have experience working with large biological datasets and are comfortable manipulating these packages to identify hits for More ❯

months and will sponsor transfer visa for team members open to relocation. Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business Insider. We … real users. Strong Python; comfort with AWS, Docker, Terraform/CDK, Postgres, etc. Experience with React, FastAPI, or other common web frameworks. An understanding of core concepts in ML, data science and MLOps. Nice-to-Have : Built agentic workflows/LLM tool-use. Experience with MLFlow, WandB, LangFuse, or other MLOps tools. Experience with AirFlow, Spark, Kafka or … similar. Why Plexe? Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights. High ownership: first 5 engineers write the culture as well as the code. You have the power to fix whatever issue you can point at. Exciting environment: work at a fast-paced YC-backed startup with one foot in Silicon More ❯

for the rest of your career. Ideal experience 1-5 years (open to more experienced candidates on a case by case basis) Sector: Healthcare/NHS: Interim Digital and Data - 360 Consultant Base salary up to £45k depending on experience Potential for sign on commission guarantee 4 days a week in the office Unlimited annual leave A genuinely employee … join the an existing team spread over 3 locations in the UK, ideally to be based in London, but experienced, remote candidates will be considered. The team covers all data and digital roles in the UK for the NHS, Trusts and Private Healthcare, they gave a wealth of warm relationships to utilise and a powerful brand reputation for their … linked to the digitalisation of the NHS which along has £10 billion of funding) The positions the team cover include: Chief Information Officer CDIO Director of IT Director of Data Project Managers Business Analysts Testing Training IT ops/network/support Network and strategy Analytics Business Intelligence AI Data Science Machine Learning Analytics The Ideal Candidate More ❯

outstanding experience throughout the process Develop detailed market maps, maintain competitive intelligence, and build expertise across multiple verticals Stay ahead of industry trends and innovations in quant finance and data science What We’re Looking For 2+ years of experience in technical or quantitative recruiting Exceptional communication, research, and organizational skills A relationship builder with a consultative mindset More ❯

technical skills and experience A bachelor’s degree in STEM or Economics from a leading university (Russell Group or international equivalent). 1–4 years’ experience in a finance, data science, or investment-related role. Strong mathematical and statistical modelling skills and a foundation in quantitative methods (e.g., volatility, correlation, Monte Carlo simulations, VaR). Python to at More ❯

Interview Process: 3 stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical … ideal for someone from a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong … Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested More ❯

who specialise in developing software, where sustainability meets profitability. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients’ systems. You will be joining a strong team of Backend Python Engineers, Data Scientists, and financial experts, who are … Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. You’ll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in … Tech: Python, FastAPI, Pydantic, PostgreSQL, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and DevOps teams in a dynamic, cross-functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup More ❯

Head of Data Science - Fintech London – Hybrid £120,000 - £140,000 Company: We are working with a fast growing and well funded scale up within the FinTech space and specialise in the car finance industry. With over £240m in funding secured and backing from some of the most respected investors in the space, they’re building tech-driven … future with data at the forefront of what they do. They’re now looking for a new Head of Data Science/Technical Lead to lead and evolve their credit and collections analytics strategy as well as boosting customer engagement. Whilst a senior position, this is still a very hands on position and the core focus of … the role will be hands on technical work. What you will be doing: Designing and leading the data science strategy across credit scoring, fraud prevention, and collections. Building and optimising data-driven lending models to increase acceptance while maintaining performance. Identifying algorithmic opportunities to mitigate fraud and improve operational efficiency. Driving collections and recovery performance through advanced More ❯

HEAD OF DATA SCIENCE – CREDIT RISK £130,000 London THE COMPANY This dynamic and fast-paced lender have grown significantly over the past few years and are looking to add a motivated and experienced individual within their growing data science function. This role offers the chance to work end-to-end across a range of credit More ❯

Senior Marketing Data Scientist Up to £75,000 Hybrid - London A great opportunity to join a leading customer data science company as a Senior Marketing Data Scientist THE BUSINESS The business is a global leader in customer data science, empowering businesses to compete and thrive in the modern-data driven economy always putting … the customer first. Enabling businesses to grow and diversify by utilising and understanding data and ensuring the customer is put first. Joining the business as a Senior Marketing Data Scientist, you'd be helping to scope out business problems, creating data science solutions for these problems and then delivering insights and recommendations of the back of … it. THE ROLE AND RESPONSIBILITIES Understanding business problems, creating data science solutions and delivering insights and recommendations Working directly with clients and helping the team to give recommendations and answer questions Working on projects across clustering, propensity modelling, regression and more Building data visualisations and dashboards for clients YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL More ❯

A newly created position working for a VERY PRESTIGIOUS London Market Insurer based in the City of London. To join my client's new Digital Data Science Team. This is a permanent position (office-based with some hybrid available. Looking for candidates that are starting their Data Science journey, with ideally 2-5 years worth of … commercial experience. Salary from £50,000 for mid-junior level and £75,000 for more senior; and we are happy to look at good Data Science candidates across all levels. My client team has recently won a prestigious award for Data Science and Analytics in Technology, so now would be a great time to join them. More ❯

GenAI Data Scientist – Central London A Global Health Care Leader based in Central London is currently searching for a Data Scientist to help lead initiatives within a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI … days per week) Salary: £70,000 to £90,000 + Benefits Interview Process: 4 Stages To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills More ❯

Consumer AI | London | AI Engineer/Data Scientist A fast-moving insights & analytics startup is searching for an AI Engineer/Data Scientist to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning it into clear, actionable insights using NLP, LLMs, and … advanced marketing data science, helping brands make smarter, faster decisions. This team blends deep technical expertise with startup agility, and they’re looking for someone who’s excited to experiment, build from scratch, and turn noisy digital data into real-world impact. 📍 Location: London (Hybrid: 2-3 days/week in-office) 💡 Why join? Work on greenfield … AI/NLP projects using the latest open-source tools & APIs Collaborate across data science, engineering, strategy, and insights Make an impact in a startup growing fast with big-name clients 🧠 What you’ll do: Design and prototype data science solutions using Python and NLP techniques Build models from scratch to extract insights from digital sources More ❯

Data Science Lead Location: London Salary: £100,000 About the Company Our client is a leading organisation with a long-standing history of serving the retirement, investment, and protection needs of individuals, families, and businesses. Focused on innovation and customer-centric solutions, they are dedicated to building better futures for their clients, colleagues, and communities. The Role As … the Data Science Lead, you will take charge of a high-performing team of data scientists, shaping and driving the organisation’s data strategy. You’ll deliver cutting-edge solutions such as propensity models, segmentation, LTV predictions, and AI-driven insights, all while fostering a culture of innovation and collaboration. Your work will enable data to become a key driver of strategic decisions, creating tangible value for both customers and the business. Key Responsibilities Develop and deliver the data science strategy and roadmap, prioritising impactful use cases. Collaborate with key stakeholders to embed data-driven decision-making across functions. Lead and mentor a team of data scientists, ensuring consistent innovation More ❯