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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, 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 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
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. Use platforms like GitHub to share your code and demonstrate your problem-solving skills. This is your chance to shine and show potential employers what you can do!
✨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 your ability to translate complex data into client-ready insights. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance of landing that Senior Data Scientist Engineer role. We love seeing candidates who are proactive and genuinely interested in joining our innovative team!
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 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 algorithm, 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 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 startup-like environment. They’ll appreciate your ability to think outside the box!
✨Be Agile and Collaborative
Since the job involves working in agile teams, be ready to talk about your experience with MVP development and how you collaborate across different teams. Share stories that highlight your ability to work seamlessly with data, commercial, and ops teams to deliver successful projects.
✨Master the Art of Data Storytelling
Prepare to demonstrate how you can translate complex data findings into clear, impactful insights. Think about how you’ve communicated technical results to non-technical stakeholders in the past. This skill will be crucial for influencing leadership and driving data innovation at Serve Legal.
