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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 a competitive salary, remote work flexibility, 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 skills.
- Other info: Be part of a greenfield innovation function with high autonomy and 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
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. Building relationships can lead to job opportunities that aren’t even advertised.
✨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 technical interviews by brushing up on your coding skills and understanding key concepts in data science and engineering. Practice common interview questions and be ready to discuss your past projects and how they relate to the role.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist Engineer
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 or algorithms. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how your background makes you a perfect fit. Don’t forget to mention any relevant experience with AI tools or cloud technologies—this will definitely catch our eye.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. Whether it's a proof-of-concept or a full-blown product, 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 helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
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 experimentation and innovation, so come prepared with examples of how you've led projects from ideation to prototype. Talk about your experience with agile methods and how you've successfully delivered MVPs. They’ll appreciate a candidate who thrives in ambiguity and embraces a fail-fast approach.
✨Be a Data Storyteller
Practice explaining complex data concepts in simple terms. You’ll need to demonstrate that you can translate technical findings into client-ready insights. Think of ways to showcase your ability to connect data outputs to real-world problems and opportunities during the interview.
✨Prepare for Collaboration Questions
Since this role involves working across various teams, be ready to discuss your collaboration experiences. Share specific examples of how you've worked with commercial and ops teams to deliver data solutions. Highlight your ability to connect with others and drive projects forward together.
