126 to 150 of 318 Data Science Jobs in the City of London

Data Analyst | Power BI | Hybrid (UK) Join Reward, where data drives everything — from how people shop to how global brands grow. At Reward, we partner with giants like Visa and Experian, operating at the centre of fintech, loyalty, and customer insight. We're now looking for a Data Analyst to join our growing Data & Insights team … someone who thrives on structure, enjoys working behind the scenes, and takes real pride in delivering clean, accurate data that drives real-world impact. Whether it's preparing insights on food delivery trends or measuring the performance of customer loyalty programmes, the insights you produce will shape commercial decisions for Reward and our clients. This is a data … role, focused on administering, supporting, and delivering industry-leading visual insights using your mastery in Power BI. What you’ll do Prototype new insight products, showing off your best data visualisation skills Develop new visualisation solutions using Power BI — including data modelling and dashboard design Manage Power BI user access structures and permissions Use SQL to query and More ❯

About Role: As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment. Position - Sr Data Engineer Experience - 6-9 Years Location - London … Job Type - Hybrid, Permanent Mandatory Skills: Design, build, maintain data pipelines using Python, Pyspark and SQL Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP . Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet … their requirements. Develop & maintain data models and data dictionaries for our data warehouse. Develop & maintain documentation for our data pipelines and data warehouse. Continuously improve the performance and scalability of our data solutions. Qualifications: Minimum 6+ years of Total experience. At least 4+ years of Hands on Experience using The Mandatory skills - Python, Pyspark More ❯

Data Scientist Up to £110k per year. 4 days/week in-office, Camden. Employment Type: Full-time We’re looking for a Data Scientist to join a growing team in Camden working on AI-first products in a collaborative, high-performance environment. What you’ll do: Design, build, and deploy data-driven models, with a focus … learning and AI systems Work closely with engineers and product teams to integrate insights into customer-facing features Extract insights from large datasets using Python and SQL Build scalable data pipelines and experimentation frameworks Translate complex findings into clear business recommendations What we’re looking for: Strong experience building AI/ML models in production Advanced Python and SQL More ❯

Senior Engineering Manager – Data Platform Tech Stack Knowledge - Databricks, Kafka, AWS 1 Day a Week Onsite - London We are seeking a customer-centric Senior Engineering Manager – Data Platform to lead the teams responsible for building and evolving our core data infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation … frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the organization. Key Responsibilities Partner with cross-functional stakeholders in Product, Data, and Engineering to align strategic goals with platform capabilities. Lead and mentor 1–2 engineering squads focused on experimentation, analytics event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine learning workflows. Promote engineering best practices, emphasizing More ❯

My client is based in the London area and is currently looking to recruit an experienced Data Scientist to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth, and are looking for an experienced Data Scientist to join their team. They are backed by a … technologies on the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural … slots left. If interested, send an up-to-date CV to Shoaib Khan - S.Khan@TenthRevolution.com or call 0191 338 7493 for a catch-up in complete confidence. TRG's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London More ❯

on a 3-year Digital Transformational program that aims to digitize Mars irreversibly. As part of our Pet Nutrition digital first strategy, our purpose is to establish strong Digital & Data Foundations (DDF) for PN products through transversal foundational technology & data capabilities that enable the creation of scalable fit-for-purpose solutions, deliver superior propositions and fuel integrated supply … chain, with Increased agility and reduced cost. Some of the key deliverables we will look to unlock are: From siloed, small-scale product performance evaluation to a fully Integrated, data driven performance assessment through real-time predictive solutions; maximizing capability and reducing evaluation time & cost by building confidence to drive superior propositions across the portfolio. From traditional Innovation and … which enables rapid scenario evaluation, accelerated development and scale-up, with increased agility and reduced costs/resources. From dispersed physical quality records to digitalized quality standards, capturing of data and trend predictions, which can be leveraged in order to proactively mitigate emerging risks and avoid non-quality Impacts. From fragmented legacy IT systems holding unreliable data to More ❯

in product management, an understanding of AI technologies, and a strategic vision for creating innovative solutions. As a Product Manager, you will work cross-functionally with Development teams, design, data science, and marketing teams to deliver cutting-edge AI product that solve real-world problems. Responsibilities Define the Product vision and strategy ensuring alignment with business objectives and … market needs. Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution. Help drive the development and integration of machine learning models and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering, design, and … data science teams to deliver AI product features from ideation to launch. Work with marketing, sales, and customer support teams to ensure successful product launches, adoption, and customer satisfaction. Use quantitative and qualitative data to inform decisions about product features and prioritize improvements based on customer needs. Education & Experience : Bachelor’s degree in Computer Science, Engineering More ❯

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers an excellent working … following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience More ❯

Econometric Modelling Lead (Marketing Mix Modelling) 📍 London (Hybrid) | 🧠 Data Science & Analytics | 🎯 Permanent, Full-Time £45,000-£55,000 Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician . We're seeking a talented individual with at least 2 years of hands-on … to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement. This is a rare opportunity to be part of a collaborative and data-driven environment where you’ll work alongside talented analysts, data scientists, and engineers across a global network. 🔑 What You'll Do: Lead delivery of MMM projects from briefing … and act as the primary point of contact for key clients. Collaborate with internal Centres of Excellence to deliver best-in-class econometrics. Play a role in shaping new data science products that drive agency innovation. Mentor junior analysts and contribute to the team’s ongoing learning and development. 🎓 What You Bring: 2+ years of experience in marketing More ❯

We're looking for a SDET/Quality Engineer to join a leading team working at the intersection of data science and financial crime prevention. Our team specialises in understanding criminal behavior behind money laundering and fraud, helping financial institutions take action through data-driven insights. You’ll be part of a collaborative application development team, testing … test strategies and detailed test plans Contribute to devops-based workflows and CI/CD processes Requirements: Strong background in software testing (functional, regression, E2E, performance) Experience with large data volumes and low-latency systems Familiar with devops, CI/CD, and agile practices Skilled in automation and BDD (backend/frontend) Proficient in Java, JavaScript, or similar languages … clients Comfortable working with cross-functional teams Strong problem-solving and communication skills Other Info: Hybrid role with office attendance in central London on Mondays and Thursdays Interest in data science and machine learning is a plus More ❯

Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and alternative data sources, to extract predictive signals. Employ advanced data science methodologies … that account for various market scenarios and stress conditions. Requirements: Strong academic background: Ph.D. or Master's degree in a quantitative discipline such as Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning … techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of developing and implementing successful quantitative trading strategies, preferably within a global macro context. 3-5 years’ experience in a high-performance trading environment, such as a hedge fund, proprietary trading firm, or investment bank. Due to demand More ❯

Officer (CTO) | FinTech SaaS | Remote or London Hybrid | £120,000–£150,000 + Equity Company Overview: We are partnered with an early-stage FinTech SaaS startup leveraging AI and data analytics to power smarter financial decisions. The platform transforms raw financial data into predictive insights for institutions, wealth managers, and private equity firms, enabling faster and more informed … team to build a category-defining SaaS product in the financial intelligence space. Responsibilities: • Define and execute the technology strategy and roadmap • Architect and build the core platform, including data pipelines, APIs, and ML infrastructure • Lead and scale a high-performing engineering and data science team • Implement best practices for security, DevOps, and compliance • Collaborate with product … business teams to deliver customer-centric solutions • Represent technology to investors, partners, and enterprise clients Qualifications: • Proven experience building and scaling B2B SaaS products, ideally in FinTech, AI, or data platforms • Strong technical skills across cloud infrastructure, backend architecture, and data analytics • Familiarity with Python, SQL, modern data stacks, and ML workflows • Experience with financial data More ❯

to reshape the way professionals in finance and audit work. This role offers the opportunity to fast-track the development of intelligent tools that automate repetitive tasks and support data-led decision-making. You’ll be part of a small, agile team with direct access to experienced mentors in software development and data science, and a clear … Collaborate with other developers on code reviews, feature design, and deployment planning. Build across the entire product stack: Frontend : modern, responsive user interfaces Backend : scalable APIs and application logic Data Layer : analytical tools and processing engines Independently lead features or projects from discovery through to release. Support junior team members through mentorship and code pairing. Solve complex technical challenges … years of experience building full-stack applications in production environments. Strong proficiency in: Backend : Python, Django Frontend : JavaScript, React, Next.js Version Control : Git Ability to design and maintain performant, data-heavy backend systems with external API integrations. Experience developing responsive UIs that perform well across devices and browsers. Self-starter attitude with the ability to take full ownership of More ❯

ready ML systems using Python and modern frameworks. Lead technical design discussions and influence system-level decisions across greenfield initiatives. Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. Collaborate with cross-functional teams including … data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience Strong commercial experience in Python with a deep understanding of software engineering principles. Demonstrated expertise in building ML systems in production environments (not just notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with …/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? Greenfield impact: Shape the direction of new AI/ML products from day one. Global scale: Work with one of the More ❯

summary Our client is looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique opportunity to architect a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Skills/… vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks … cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time and batch model consumption. Translate business needs into detailed product requirements, user stories, and More ❯

leadership, and hands-on execution to drive product innovation, market success, and customer satisfaction. The ideal candidate will work within our analytics team and collaborate closely with IT, Finance, Data, Underwriting, and other key stakeholders to deliver best-in-class software products and data services. FireAnt will be marketed to a select group of insurance partners in emerging … design, service management, support and end-users to drive product initiatives from conception to launch Customer & Market Insights: Conduct market research, gather internal and customer user feedback, and analyse data to identify trends, opportunities, and areas for product improvement Stakeholder Management: Act as a leading advocate for the product internally and externally, engaging with executives, customers, and partners to … ensure alignment and adoption Performance Measurement: Define and track key performance indicators (KPIs) to measure progress, efficiency of resource use, team productivity, and product success, iterating based on data-driven insights Team Leadership & Development: Build and mentor a high-performing client relations team, fostering a culture of innovation, collaboration, ownership, accountability and customer-centric thinking. Take a leading position More ❯

MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning More ❯

Head of Data Science London – Hybrid Up to £115,000 + Benefits The Opportunity A leading organisation within the Insurance space is seeking a Head of Data Science to lead a team of data scientists and drive high-impact machine learning initiatives. This is a unique opportunity to shape the data science strategy … work closely with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise … impact. Ensure full adoption of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud More ❯

We are hiring for a Director/VP of Data & AI for our client in the digital health tech space. This position is based in the UAE, offering an attractive Tax Free salary. Key Responsibilities: Oversee data engineering, data science, and ML teams Implement scalable data pipelines for real-world healthcare data Drive data governance, compliance, and ethical AI practices Collaborate with clinical and business leaders to inform product decisions Define metrics to measure AI impact and model performance Develop and execute data & AI strategy across the product portfolio Requirements: 10 to 15+ years in data/analytics; 5 to 7+ years in leadership Hands-on expertise with modern data stack and ML platforms Experience in working with healthcare datasets (EHR, claims, wearables) Familiarity with international HIPAA, GDPR, and health data standards Strong stakeholder management in high-growth settings Degree in Data Science, Computer Science, or related discipline *This role will require relocation to UAE, relocation support is provided More ❯

Role: Head of Data As Head of Data, your mission is to make sure that high quality and timely data drives the big decisions. You will lead the data team in ensuring our data infrastructure and data modelling is accurate, cost efficient and secure and that end users have accurate, timely and trusted data. … Experience Experience in the financial services or payments industry, ideally with exposure to B2B payment platforms or fintech companies. Demonstrated success in building and leading cross-functional data teams in dynamic, fast-paced environments. Ideally as a data leader in a PE or VC backed company. Hands-on experience with data governance, regulatory compliance and risk management … in financial transactions. Expertise in data architecture, data modeling, and database management. Strong understanding of cloud-based data solutions. Experience with the tools we work with, or other equivalent ones (dbt, BigQuery, Stitch, Segment, Fivetran, Metabase, Apache Airflow). Education A bachelor’s degree in a relevant field such as Computer Science, Information Technology, Data More ❯

Job Title: Data Scientist Location: London (Hybrid/Flexible) Type: Permanent, Full-Time Overview We're looking for a proactive Data Scientist to join a high-impact team driving innovation in digital insurance underwriting. This role will support the expansion of data-led initiatives, with a focus on improving profitability and automation across digital insurance products. You … ll collaborate with underwriters, actuaries, analysts, and engineers to turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and … optimisation Build dashboards and visual tools to surface insights and trends Work alongside actuarial teams to enhance pricing strategies and portfolio analysis Translate business needs into data requirements, collaborating with IT and engineering Stay up to date with new tools, techniques, and best practices in data science What We’re Looking For Solid experience in data More ❯

Senior Data Scientist London - hybrid Competitive Salary This dynamic and fast-paced global investment firm are looking for a Senior Data Scientist to join their existing team of experts, reporting into their Head of Data Science. This person will work closely with senior stakeholders and other team members focusing on due diligence. THE ROLE As a Senior … Data Scientist for the business you will: • Scope data science projects within the due diligence and value creation teams • Oversee projects, working with more junior data scientists in the team to use technical expertise to solve business problems • Build and deploy machine learning models using Python and cloud technologies SKILLS AND EXPERIENCE • Master’s Degree in … a relevant subject • Several years of commercial experience in Data Science, specifically within the PE or Strategy Consulting industries • Experience deploying models into production • Good communication skills • Tech: Python, SQL, Cloud-tech SALARY AND BENEFITS • Competitive salary • Hybrid working – London office x4 days per week • Performance based Bonus and Benefits package HOW TO APPLY Please register your interest More ❯

they broaden their mandate, they are seeking top-tier talent to join their team in the Middle East. Reporting to the Chief Investment Officer, they are looking for a Data Analyst to be responsible for extracting, organising, processing, cleaning and validating investment-related data from multiple sources. The objective is to present this data in a clear … accurate and exhaustive manner in order to facilitate timely investment decisions. Roles & Responsibilities: Enhancing data collection procedures in their systems to include information that is relevant for building analytic systems and managing their portfolio of investments Processing, cleansing, and verifying the integrity of data used for analysis Ensuring the availability, quality and security of data used by … the Investment Team Data mining using state-of-the-art methods and extending company’s data with third party sources of information when needed Investigating and interpreting data to identify actionable insights and opportunities for improvement of the performance of our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings More ❯

About: You will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The Data Fabric team will ensure that your team has access to all relevant information and their skilled data engineers will develop the … data pipelines for the projects in your team. Your team can further rely on a central competence and assistance of data science and business intelligence. Do you like new challenges that test your earlier experience in marketing? You will work closely together with the product managers and business development managers of our marketing department. You will collaborate … with them to ensure that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier experience with these tools and languages will help you to coach your More ❯

Data Scientist (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Scientist to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence … making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed … stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data More ❯