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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 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 and analytical 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’s already in the data science game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell us what you can do—show us! Create a portfolio of your projects, especially those that highlight your data products and algorithms. Share them on platforms like GitHub or your personal website to make it easy for potential employers to see your work.
✨Ace the Interview
Prepare for interviews by brushing up on both technical skills and soft skills. Be ready to discuss your past projects and how you’ve tackled challenges. Remember, we love a good data story, so make sure to articulate your thought process clearly!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate individuals who want to innovate with us.
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 of Senior Data Scientist Engineer. Highlight your experience with data products, algorithms, and any relevant projects that showcase your skills in Python, SQL, and machine learning.
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 previous experiences align with our mission at Serve Legal. Don't forget to mention your agile mindset!
Showcase Your Projects: If you've worked on any interesting data projects or prototypes, make sure to include them in your application. We love seeing tangible examples of your work, especially those that demonstrate your ability to turn data into actionable insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 machine learning frameworks. Be ready to discuss specific projects where you've built predictive models or worked with data pipelines, as this will show your hands-on experience.
✨Show Off Your Innovation Mindset
Prepare examples that highlight your ability to thrive in ambiguity and your experience with rapid MVP development. Talk about how you've used agile methods in past projects to iterate quickly and deliver results, as this aligns perfectly with the role's focus on innovation.
✨Be a Data Storyteller
Practice explaining complex data concepts in simple terms. You might be asked to present a technical finding, so think about how you can make it relatable and impactful for non-technical stakeholders. This will demonstrate your ability to connect data insights to real client problems.
✨Understand the Business Context
Research Serve Legal and its market. Be prepared to discuss how your data solutions can drive client value and influence leadership decisions. Showing that you understand the business side of data will set you apart from other candidates.
