9 of 9 Data Munging Jobs in the City of London

Senior Data Scientist – Personalisation London – Hybrid Up to £65,000 About the Role We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention. Analyse customer behaviour, lifecycle … patterns, and engagement to uncover opportunities for product and marketing optimisation. Develop and maintain advanced analytical models to forecast customer outcomes and measure impact. Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making. Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the More ❯

Senior Data Engineer with 5+ years’ experience, especially with 2+ years in a Hedge Fund and/or in Systematic Trading Technology and/or working with real-time Low Latency Market Data sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record and a remarkable record of long-term employment … firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick … DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end More ❯

Senior Data Engineer with 5+ years’ experience, especially with 2+ years in a Hedge Fund and/or in Systematic Trading Technology and/or working with real-time Low Latency Market Data sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record and a remarkable record of long-term employment … firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick … DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end More ❯

Data Scientist | Renewable Energy | Up to £600/Day | Outside IR35 | Remote, LDN | 6 Mths Rolling One of our Renewable Energy clients in the sustainable infrastructure space is seeking an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data … machine learning. You’ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within the business - the company operates in a highly dynamic sector with a strong focus on innovation and efficiency. As a Data Scientist, you'll work … closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 💰 Up to £600/Day More ❯

About the Role You'll lead the data support function for the Portfolio Manager Support team in London, working alongside global counterparts in the US. The team is responsible for ingesting, transforming, and maintaining datasets used across the investment lifecycle, with a strong focus on automation, process improvement, and user experience. This is a hybrid role combining technical … oversight, stakeholder management, and hands-on problem-solving. You'll interface directly with PMs, analysts, and engineers - ensuring data flows smoothly, requests are handled efficiently, and the team delivers consistent, high-quality support. Key Responsibilities Lead and mentor a team of data analysts supporting front office users across asset classes Oversee data ingestion, transformation … SQL, and cloud-native tools Manage service levels and expectations across a fast-paced, high-demand environment Collaborate with infrastructure and engineering teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv More ❯

About the Role You'll lead the data support function for the Portfolio Manager Support team in London, working alongside global counterparts in the US. The team is responsible for ingesting, transforming, and maintaining datasets used across the investment lifecycle, with a strong focus on automation, process improvement, and user experience. This is a hybrid role combining technical … oversight, stakeholder management, and hands-on problem-solving. You'll interface directly with PMs, analysts, and engineers - ensuring data flows smoothly, requests are handled efficiently, and the team delivers consistent, high-quality support. Key Responsibilities Lead and mentor a team of data analysts supporting front office users across asset classes Oversee data ingestion, transformation … SQL, and cloud-native tools Manage service levels and expectations across a fast-paced, high-demand environment Collaborate with infrastructure and engineering teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv More ❯

insights and analytics consultancy to hire an Analytics Consultant to join their growing client delivery team. This is a great opportunity for someone with strong digital analytics and data storytelling experience who’s ready to take full ownership of client workstreams — combining technical rigour, commercial insight, and stakeholder engagement. You’ll play a key role in helping major … brands turn data into meaningful actions that drive personalisation and performance. THE ROLE AND RESPONSIBILITIES: Reporting & Insights Deliver regular digital performance reports with clear insights and recommendations. Build and maintain time-series dashboards across tools like Google Ads, Adobe Analytics, and Snowflake. Ensure reporting accuracy through data checks and campaign annotations. Personalisation & Experimentation Support A/… B and rules-based tests, defining hypotheses and success metrics. Translate insights into testable ideas and prioritise by commercial impact. Collaborate with stakeholders to launch and measure experiments. Data Quality & QA Run QA checks to maintain data integrity and consistency. Monitor key tracking systems, identify anomalies, and coordinate fixes. Client Delivery & Communication Act as the main More ❯

insights and analytics consultancy to hire an Analytics Consultant to join their growing client delivery team. This is a great opportunity for someone with strong digital analytics and data storytelling experience who’s ready to take full ownership of client workstreams — combining technical rigour, commercial insight, and stakeholder engagement. You’ll play a key role in helping major … brands turn data into meaningful actions that drive personalisation and performance. THE ROLE AND RESPONSIBILITIES: Reporting & Insights Deliver regular digital performance reports with clear insights and recommendations. Build and maintain time-series dashboards across tools like Google Ads, Adobe Analytics, and Snowflake. Ensure reporting accuracy through data checks and campaign annotations. Personalisation & Experimentation Support A/… B and rules-based tests, defining hypotheses and success metrics. Translate insights into testable ideas and prioritise by commercial impact. Collaborate with stakeholders to launch and measure experiments. Data Quality & QA Run QA checks to maintain data integrity and consistency. Monitor key tracking systems, identify anomalies, and coordinate fixes. Client Delivery & Communication Act as the main More ❯

play a key role in helping learners and professionals build deep, practical ML capability. Day-to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their … expected by Ofsted, ESFA and other awarding bodies. What we're looking for You'll need to bring: Strong industry experience in end-to-end ML projects — from data wrangling and model building to deployment and monitoring. Confident teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the theory behind … wellbeing support. Monthly team lunches and regular social events. Laptop & full virtual setup provided. Who you are You're a passionate technologist who: Has 2+ years' experience in Data Science, Machine Learning or a similar role Loves teaching and seeing learners develop Thrives in a collaborative, innovative environment Is eager to continuously learn and improve As an industry More ❯