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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 focused on data-driven solutions.
- Benefits: Enjoy competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation and make a real impact in a dynamic environment.
- Qualifications: 6-10 years in data science/engineering with strong programming skills.
- Other info: Work in a collaborative culture that values creativity and experimentation.
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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products, algorithms, and any prototypes you've built. This is your chance to demonstrate your inventiveness and technical prowess—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain complex data concepts in simple terms, just like you would to a client. Remember, they want to see how you can translate data into real-world solutions.
✨Tip Number 4
Don’t forget to apply 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 reflects the skills and experiences that align with the Senior Data Scientist Engineer role. Highlight your programming expertise, data engineering experience, 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 innovation and how your background in data science and engineering can help us transform operational data into market-ready products. Be sure to mention any experience with AI tools or cloud technologies!
Showcase Your Projects: If you've worked on any interesting data projects, don't hesitate to include them! Whether it's a proof-of-concept or a prototype, we want to see how you've applied your skills in real-world scenarios. This is your chance to shine and demonstrate your problem-solving abilities.
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 company 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 led a project from ideation to prototype, and be ready to explain your thought process and the outcomes.
✨Be Agile and Collaborative
Since they value agile methods, highlight your experience with MVP development and working in cross-functional teams. Share stories that demonstrate your ability to collaborate seamlessly across different departments, as this will show you’re a great fit for their culture.
✨Translate Complexity into Simplicity
Practice explaining complex data concepts in simple terms. They’re looking for someone who can be a data storyteller, so think about how you can make your technical findings accessible and impactful for clients. Prepare to discuss how you've done this in previous roles.
