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Senior Data Scientist Engineer

Senior Data Scientist Engineer

Serve LegalLeeds, UK
6 days ago
Job type
  • Full-time
  • Permanent
Job description

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 environment—boldly 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 You’ll 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 Legal’s in-house data evangelist—translating complexity into clear, client-ready insights. Influence leadership with strategic ideas for new revenue and services.

Core Skills & Mindset

  • Inventor’s 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

  • 6–10+ 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.

    • What’s in It for You

  • Leadership of a greenfield innovation function with high autonomy and tangible impact.
  • A remote-first, flexible environment—balanced 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 roles—plus room to build a team.
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