6 of 6 Remote Data Extraction Jobs in the Thames Valley

Data Analyst – Global Fintech Leader (Contract) Location: London (Hybrid – 3 days in office, 2 days from home) Rate: Up to £285 per day (umbrella) Duration: 9-month contract (current end date: September 2026) About the Role We’re partnering with a global fintech leader to hire a Data Analyst within their Customer Success Data Science team , driving … data capabilities and insights across international markets. This is a fantastic opportunity for an experienced data professional who thrives in dynamic environments, enjoys problem-solving, and wants to make a tangible impact on how customer success is measured and delivered across multiple regions. Key Responsibilities Build robust data foundations – Work with engineering teams to improve data … root-cause analysis to identify pain points and drive operational improvements. Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences. Influence through storytelling – Translate data insights into compelling narratives that drive strategic decisions across business units. What We’re Looking For 8+ years’ experience in Data Analytics or Data Science (ideally within More ❯

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you’ll do Collaborate with cross-functional teams to develop … Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer … for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large More ❯

Data Analyst Rate: £400-£450 per day (Inside IR35) Location: London (Hybrid - 2 days per week in office) Duration: 3-month initial contract Sector: Leading Online Business Overview We are seeking an experienced General Data Analyst to join a leading online business on a 3-month initial contract. The successful candidate will play a key role in supporting … the Commercial and Pricing Analytics teams, providing analytical insight across experimentation, measurement, and pricing strategy. Key Responsibilities Support the Commercial and Pricing Analytics teams with data analysis and insight generation. Conduct experimentation and measurement analysis , including A/B tests, to inform pricing and commercial strategy. Extract, clean, and analyse large datasets using SQL and Python . Translate analytical … into clear, actionable insights for stakeholders across commercial and product functions. Develop and maintain dashboards and reports to track business performance and key metrics. Collaborate cross-functionally to deliver data-driven recommendations that support business growth. Requirements 3-4 years' experience in data analytics. Strong technical skills in SQL and Python for data extraction and analysis. More ❯

experience, and drive operational excellence. Key Responsibilities Manage end-to-end invoice finance operations, including client onboarding, invoice validation, funding, and reconciliation. Utilize Dancerace or Lendscape platforms to automate data extraction, ledger management, and payment processing, ensuring seamless integration with clients’ accounting systems. Monitor client portfolios for risk, compliance, and performance, using platform analytics and reporting tools. Support … factoring, or asset-based lending, preferably within a fintech or financial services environment. Strong technical proficiency with invoice finance platforms such as Dancerace or Lendscape, including experience with automated data extraction, reconciliation, and risk management modules. Familiarity with accounting systems (e.g., Xero, Sage, QuickBooks) and Open Accounting integrations. Excellent analytical and problem-solving skills, with attention to detail More ❯

meaningful equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team bringing … deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery. The Challenge Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their … not months. What You’ll Do Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python , integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯