9 of 9 Data Munging Jobs in Central London

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would … provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and … designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets More ❯

Social network you want to login/join with: Junior Data Scientist, london (city of london) col-narrow-left Client: Intellect Group Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Junior Data Scientist – Master … s Graduate Role Location: London (Hybrid) Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to … apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing More ❯

Data Engineer (Cloud Data Warehouse) Our Story Previse has pioneered algorithm-driven invoice payment decisions. We use machine learning to predict the likelihood that a multinational will ultimately pay a supplier's invoice, which enables instant payment. Previse reduces transaction costs for buyers, improves working capital for suppliers, and creates an attractive new asset class for … funders. This is "Trade Finance 2.0", driven by data, and driving growth for companies large and small. We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms to replace slow manual invoicing. “To ensure that every supplier in the world can be paid instantly, at the fairest … rate." Data Engineer As a Data Engineer, you will be responsible for the design, development, and maintenance of our data processing systems. You will work closely with senior management, experienced data scientists, software developers and analysts to understand their data requirements and help build robust and efficient data More ❯

Senior Analytics Engineer - £80,000+ Cognify have partnered with a fast-growing SaaS platform as they continue to expand their data team following a consistent run of success With offices across the UK, US & Australia, they are now looking to bolster the London team with the addition of another Senior Analytics Engineer. This role is for a talented … out the details below! Salary: £80,000 Industry/Type of business: SaaS platform Remote working: 2 days WFH Interview process: 3 stages Company size: ~40 Working on: Data modelling, transformation, data warehousing, data wrangling - with a small element of statistics & forecasting. What are we looking for? Experience modelling in the data warehouse, multi-step SQL, data wrangling The ability to solve ambiguous challenges with data The ability to communicate with clients & identify needs An understanding of data in relation to dynamic pricing, revenue operations & management, demand forecasting, competitor analysis etc. would be useful! SQL, Python, Cloud (GCP, Azure, AWS or Snowflake), Airflow/ More ❯

Strategy Data Consultant - Management Consulting - £60-75,000 + Bonus - London Hybrid This boutique management consultancy with a specialist data science and advanced analytics practice is growing out their team and looking to hire 2 Data Consultants to drive data science within a strategy consulting environment. Essential Skills: - Ability to manage large … messy data sets using SQL or Python - Demonstrable skill set in cleansing and wrangling data in order to provide clear, actionable insight - Ability to engage with senior stakeholders in a consulting environment - Ambition to rapidly develop skills and aptitude to learn new advanced analytics concepts This role requires someone with a strong sense of purpose, who More ❯

Data Scientist – London | £78K perm/£350 daily (Umbrella) Our client is hiring two experienced Data Scientists to join our fast-growing UK Data & AI practice . You’ll be at the forefront of machine learning model development for leading insurance and financial services clients , working in a collaborative, hands-on environment. 📍 Location: London … Start: Early July 2025 💼 Type: Permanent (preferred) or Umbrella Contractor 💰 Salary: Up to £78,000 or £350/day equivalent 🧠 Your Profile: 6–10 years of experience in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS 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 … 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 More ❯

NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯

Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and data wrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯