Senior Data Scientist Engineer
Senior Data Scientist Engineer

Senior Data Scientist Engineer

Coventry Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
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Serve Legal

At a Glance

  • Tasks: Transform data into innovative products and insights while leading exciting projects.
  • Company: Join a pioneering legal tech company with a focus on innovation and collaboration.
  • Benefits: Enjoy a competitive salary, flexible remote work, and opportunities for professional growth.
  • Why this job: Make a real impact in a dynamic environment that values creativity and experimentation.
  • Qualifications: 6-10 years in data science/engineering with strong programming and analytical skills.
  • Other info: Lead a greenfield innovation function with high autonomy and access to unique datasets.

The predicted salary is between 60000 - 75000 £ per year.

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.

Senior Data Scientist Engineer employer: Serve Legal

Serve Legal is an exceptional employer, offering a dynamic remote-first work environment that fosters innovation and creativity. With a strong emphasis on employee growth, you will have the opportunity to lead groundbreaking projects in data science while collaborating with diverse teams. Enjoy competitive compensation, a flexible work culture, and the chance to make a tangible impact in a forward-thinking company that values curiosity and experimentation.
Serve Legal

Contact Detail:

Serve Legal Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at Serve Legal. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data products and algorithms. Use GitHub to share your projects and demonstrate your programming prowess. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by practising common data science scenarios. Be ready to discuss your past projects, especially those involving predictive models or innovative solutions. We want to see how you think and solve problems!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Serve Legal.

We think you need these skills to ace Senior Data Scientist Engineer

Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch)
Advanced SQL
ETL/ELT tools (Airflow/dbt)
AWS/Azure/GCP
Machine Learning (Classification, regression, clustering, forecasting)
Natural Language Processing (NLP)
GenAI frameworks
BI tools (Power BI, Tableau, Looker)
APIs/microservices
Git/GitHub
Docker
Experimental design (A/B testing)
Data governance
Ethical AI
Agile methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with data science and engineering, especially any projects that showcase your ability to build data products and algorithms. We want to see how you can bring value to our Innovation Labs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data innovation and how your skills align with our mission. Don’t forget to mention any relevant experience in startups or R&D—this is key for us!

Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it's a prototype, a proof-of-concept, or an innovative solution, we love seeing real examples of your work. It helps us understand your approach and creativity.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!

How to prepare for a job interview at Serve Legal

✨Know Your Data Science Stuff

Make sure you brush up on your data science and engineering skills, especially in Python and machine learning frameworks. Be ready to discuss specific projects where you've built predictive models or worked with data pipelines, as this will show your hands-on experience.

✨Show Off Your Innovation Mindset

Prepare examples of how you've embraced a fail-fast, learn-fast approach in previous roles. Talk about times when you led a project from ideation to prototype, and how you used agile methods to iterate quickly. This will demonstrate that you're a perfect fit for the Innovation Labs.

✨Be a Data Storyteller

Practice explaining complex data concepts in simple terms. Think about how you can translate technical findings into client-ready insights. This skill is crucial for influencing leadership and showcasing your ability to connect data outputs to real-world problems.

✨Understand the Business Context

Research Serve Legal and its market. Be prepared to discuss how your data solutions can create value for clients, particularly in compliance and retail sectors. Showing that you understand the business side of data will set you apart from other candidates.

Senior Data Scientist Engineer
Serve Legal
Location: Coventry
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