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For Companies 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.
- Benefits: Enjoy competitive salary, remote work flexibility, and opportunities for team building.
- 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 skills.
- Other info: Be part of a greenfield innovation function with high autonomy.
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
Contact Detail:
Serve Legal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data science. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Create a portfolio showcasing your projects and prototypes. Whether it's a GitHub repo or a personal website, make sure potential employers can see your work in action. This is your chance to shine and demonstrate your data storytelling abilities!
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Don’t forget to highlight your experience with agile methods and how you’ve turned complex data into client-ready insights. Confidence is key!
✨Apply Through Our Website
We encourage you to apply directly through our website for the best chance at landing that Senior Data Scientist Engineer role. It shows you're genuinely interested and gives us a chance to see your application in the best light!
We think you need these skills to ace Senior Data Scientist Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist Engineer role. Highlight your programming expertise, data engineering skills, and any relevant projects you've worked on that showcase your ability to innovate and deliver results.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data science and engineering, and how your experience aligns with our mission at Serve Legal. Don’t forget to mention any innovative projects or ideas you have in mind!
Showcase Your Projects: If you've built any data products or algorithms, make sure to include them in your application. We love seeing tangible examples of your work, especially those that demonstrate your ability to prototype and iterate quickly in an agile environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
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 SQL. Be ready to discuss your experience with predictive models and how you've used AI tools in past projects. They’ll want to see that you can not only analyse data but also turn it into actionable insights.
✨Show Off Your Innovation Mindset
This role is all about innovation, so come prepared with examples of how you've embraced a fail-fast, learn-fast approach. Think of specific instances where you’ve prototyped or piloted new ideas, especially in a collaborative setting. They’ll be looking for your ability to thrive in ambiguity and drive data solutions.
✨Be Agile and Adaptable
Familiarise yourself with agile methodologies, as they’re key to this position. Be ready to discuss how you’ve worked in sprints or developed MVPs in the past. Highlight your experience in rapidly iterating on projects and how you’ve successfully collaborated across teams to deliver results.
✨Communicate Like a Pro
As a data storyteller, you need to make complex findings accessible. Prepare to explain your technical work in simple terms and how it relates to real client problems. Practice articulating your thought process and the impact of your work, as this will be crucial in influencing leadership and driving data innovation.
