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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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at Serve Legal. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and algorithms. Use GitHub to share your projects and demonstrate your programming prowess. This will give you an edge when it comes to interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your data storytelling skills. Be ready to explain complex concepts in simple terms, just like you would to a client. This will show that you can bridge the gap between data and business needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly 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. Highlight your experience with data science and engineering, especially any projects that showcase your ability to prototype and build data products. 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 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’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 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 of how you've embraced a fail-fast, learn-fast approach in previous roles. Talk about times when you led the ideation and prototyping process, especially in an agile environment. This will demonstrate that you can thrive in the startup-within-a-business setting they’re looking for.
✨Be a Data Storyteller
Practice explaining complex data concepts in simple terms. Think about how you can translate technical findings into client-ready insights. This skill is crucial for influencing leadership and showcasing your ability to connect data outputs to real-world problems.
✨Get Familiar with Their Tools
Research the specific tools and technologies mentioned in the job description, like AWS, Azure, and BI tools. If you have experience with ETL/ELT processes or cloud-native data foundations, be prepared to discuss how you've used these in past projects to build scalable solutions.
