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For Companies At a Glance
- Tasks: Lead end-to-end machine learning solutions in a dynamic financial environment.
- Company: Fast-growing UK business focused on data innovation.
- Benefits: Hybrid working, competitive pension, extra paid leave, and employee support programmes.
- Other info: Join a modern office with excellent career growth opportunities.
- Why this job: Make a real impact with your data skills in a collaborative team.
- Qualifications: Proven ML experience, strong Python and SQL skills, and leadership abilities.
The predicted salary is between 60000 - 80000 £ per year.
My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on role combining technical ownership and production-grade model deployment.
The Role
- Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
- Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
- Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
- Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
- Establish monitoring frameworks for performance, drift, and retraining
- Drive clear documentation, traceability, and governance appropriate for a regulated environment
This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.
Essential Experience
- Proven commercial ML/Data Science delivery with measurable impact
- Experience taking models into production and managing performance over time
- Prior experience leading or mentoring Data Scientists
- Strong Python (pandas, numpy, scikit-learn or similar)
- Strong SQL (complex joins, aggregations, analytical functions)
- Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
- Experience working closely with Engineering/Data teams in production-first environments
- Comfortable operating within regulated industries
Desirable
- AWS experience (S3, Athena/Glue, IAM, Lambda)
- SageMaker or equivalent ML platform experience
- Financial services domain knowledge (risk, fraud, affordability, payments)
- Experience with model explainability and governance documentation
Package & Benefits
- Hybrid working model
- Competitive pension
- Additional paid leave (birthday, charity, wellbeing, life events)
- Employee assistance programme & Virtual GP
- Modern collaborative office environment
Interested?
Data Science Data Science Senior Data Scientist (Python) (Remote) employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in financial services. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those using Python and SQL. This will give potential employers a taste of what you can do and how you think beyond just experimentation.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with model deployment and monitoring, as well as how you've tackled challenges in regulated environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with Python, SQL, and any relevant AWS tools. We want to see how your skills align with the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Scientist role. Share specific examples of your past work that demonstrate your ability to drive end-to-end ML solutions and your experience in regulated environments.
Showcase Your Impact: When detailing your previous roles, focus on the impact you made. Use metrics and outcomes to illustrate how your contributions led to measurable improvements. We love seeing how you’ve taken models into production and managed their performance over time!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Adria Solutions Ltd
✨Know Your ML Inside Out
Make sure you can discuss your experience with machine learning in detail. Be ready to explain how you've framed problems, engineered features, and deployed models in previous roles. Use specific examples that highlight your impact on business objectives.
✨Brush Up on Python and SQL
Since the role requires strong Python and SQL skills, be prepared to demonstrate your proficiency. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks and model-building techniques using libraries like pandas and scikit-learn.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulations that govern the financial industry. Be ready to discuss how you’ve ensured compliance in your past projects, particularly around model governance and performance monitoring. This will show that you can operate effectively within a regulated environment.
✨Collaborate and Communicate
This role involves partnering with various teams, so highlight your teamwork and communication skills. Prepare examples of how you've worked closely with engineering, data, and risk teams to deliver robust solutions. Emphasise your ability to translate technical concepts into business language.