Senior Data Scientist / Engineer

Reports to: Data Director / Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £60,000 £75,000 dependent on location and experience 10% bonus scheme Why This Role Exists Serve Legal is forging new ground: transforming operational data into market-ready products, algorithms, and insights that redefine client value. As a driver of our Innovation Labs, you will experiment, prototype, and build compelling data solutions in a startup-within-a-business environmentboldly iterating and owning proofs-of-concept that scale. This is a position with a balance between data science and engineering. Besides exploring and analysing datasets, you will help to establish a cloud native data foundations, with a data warehouse and supporting data pipelines. You will be expected to use AI tools where possible to help explore, analyse and transform data. What Youll Do Build Data Products & Algorithms: Prototype and refine predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis). Embed solutions into client dashboards and intelligent tools. Actively Participate in Innovation Labs: Lead the data science lifecycle: ideation ? prototype ? pilot. Use agile methods (sprints, MVPs) to deliver validated concepts collaboratively. Engineer the Future: Build scalable experimentation pipelines; ensure smooth handover to production systems. Research and pilot emerging technologies (GenAI, LLMs, advanced ML frameworks). Champion Data Innovation: Be Serve Legals in-house data evangelisttranslating complexity into clear, client-ready insights. Influence leadership with strategic ideas for new revenue and services. Core Skills & Mindset Inventors Mindset thrives in ambiguity; embraces a fail-fast, learn-fast approach. Business-Savvy links data outputs to real client problems and opportunities. Agile Operator experienced in rapid MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A/B testing), data governance, ethical AI Experience That Helps 610 years in data science/data engineering with tangible productisation or algorithm development. Proven delivery of PoCs, prototypes, or pilots with commercial utility. Familiarity with compliance, retail, FMCG, logistics, or consumer insight datasets is a plus. Prior experience in startups, R&D or innovation-first teams is advantageous. Whats in It for You Leadership of a greenfield innovation function with high autonomy and tangible impact. A remote-first, flexible environmentbalanced with in-person connection where needed. Access to rich, unique datasets and a culture that values curiosity and experimentation. Competitive compensation aligned with senior innovation rolesplus room to build a team.

Location: South West London, South East, GB

Posted Date: 9/17/2025