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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 and collaboration.
- Benefits: Enjoy competitive salary, flexible remote work, 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 and analytical skills.
- Other info: Work in a remote-first 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
✨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 at Serve Legal. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio of your projects, especially those involving data products and algorithms. Share your GitHub or any relevant dashboards to demonstrate your capabilities.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Be ready to discuss how you've used AI tools and agile methods in your past work. Remember, they want to see your problem-solving skills in action!
✨Apply Through Our Website
Make sure to apply directly through our website! It shows you're genuinely interested and gives you a better chance of being noticed. Plus, we love seeing candidates who take that extra step.
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 align with building data products or algorithms. We want to see how your skills can drive innovation at Serve Legal!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our Innovation Labs. Share specific examples of your work that demonstrate your inventiveness and business-savvy mindset.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Make sure to list your programming languages, tools, and frameworks clearly. If you've worked with AI tools or cloud platforms, let us know how you've used them to create impactful data solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
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 build scalable solutions.
✨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’ve led projects from ideation to prototype, especially in an agile environment. This role is all about innovation, so demonstrate your ability to think outside the box!
✨Be a Data Storyteller
Practice explaining complex data concepts in simple terms. You’ll need to show that you can translate technical findings into client-ready insights. Think of a few examples where you’ve successfully communicated data-driven results to non-technical stakeholders.
✨Understand Their Business
Research Serve Legal and their market. Understand their products and how data can solve real client problems. Be prepared to discuss how your skills can directly contribute to their goals, especially in terms of compliance and operational efficiency.
