Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects, leveraging AI and ML to solve complex business challenges.
- Company: Dynamic organisation in Coventry with a focus on innovation and collaboration.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights in a fast-paced environment.
- Qualifications: MSc or PhD preferred, with 3-5+ years of data science experience.
- Other info: Join a supportive team that values mentorship and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Location: Coventry, UK (Hybrid – 3 days per week onsite)
Day Rate: £510 per day – Inside IR35
Contract Duration: 6 months
Start Date: ASAP
The Role
We are seeking a Senior Data Scientist to enhance the organisation’s intelligence capability, enabling insight-driven decision making through the organisation, analysis, modelling and interpretation of complex data sets. You will design and build data products using innovative Artificial Intelligence and Machine Learning techniques, delivering measurable business impact within a fast-paced, agile environment.
Key Responsibilities
- Quickly grasp complex business challenges and identify how data, AI and ML can be leveraged to address them.
- Lead end-to-end delivery of complex data science projects from ideation through to deployment, monitoring and support.
- Develop and deploy advanced machine learning, statistical and AI models using scalable cloud platforms (e.g. Azure Machine Learning, Databricks).
- Ensure models are explainable, ethical and aligned with regulatory and business standards.
- Own the full model lifecycle, including monitoring, retraining and performance optimisation.
- Establish and enforce best practices for model governance, version control and documentation.
- Collaborate with data engineers to design scalable data pipelines and ensure data quality and availability.
- Lead code reviews, knowledge-sharing sessions and contribute to team capability development.
- Manage timelines, risks and dependencies to ensure high-quality delivery.
Essential Skills
- MSc or PhD strongly preferred.
- 3–5+ years’ professional experience in data science with a proven track record of delivering impactful solutions.
- Strong understanding of CRISP-DM, MLOps, Agile delivery and ITIL or similar frameworks.
- Expert-level proficiency in Python and SQL, with sound software engineering practices (modular design, testing, CI/CD).
- Deep expertise across machine learning techniques (ensemble methods, NLP, time-series forecasting, deep learning) and familiarity with model interpretability and fairness tools.
- Strong experience with Microsoft Azure architecture (Azure ML, Azure Synapse) and containerisation (Docker, Kubernetes).
- Advanced statistical modelling, causal inference and experimental design (e.g. A/B testing).
- Ability to communicate insights effectively through compelling data storytelling, including Power BI.
- Experience with MLflow or similar tools for model tracking and reproducibility.
Desirable Experience
- Domain knowledge within the water industry.
Person Specification
- Strong stakeholder engagement and client-facing capability.
- Confident communicator, able to translate complex technical concepts for non-technical audiences.
- Assertive and collaborative, with the ability to lead projects and inspire colleagues.
- Experience mentoring junior team members and supporting capability growth.
Senior Data Scientist employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and ML. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with the role and our company values.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI, ML, and data science projects that align with the job description. We want to see how your skills can directly contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can tackle complex business challenges. Let us know how your previous work has made an impact.
Showcase Your Technical Skills: Be sure to highlight your proficiency in Python, SQL, and any relevant tools like Azure ML or Docker. We’re looking for someone who can hit the ground running, so make those skills pop in your application!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Stott and May
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning techniques and statistical modelling. Be ready to discuss specific projects where you've used Python and SQL to deliver impactful solutions, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex business challenges in the past. Think of examples where you've identified how data, AI, and ML were leveraged to create solutions. This will demonstrate your ability to think critically and apply your skills effectively.
✨Communicate Clearly
Practice explaining your technical work in a way that non-technical stakeholders can understand. Use data storytelling techniques to convey insights compellingly, perhaps even using Power BI as an example of how you've visualised data for decision-making.
✨Be Ready for Collaboration
Since you'll be working closely with data engineers and other team members, be prepared to discuss your experience in collaborative environments. Highlight any instances where you've led code reviews or knowledge-sharing sessions, as this shows your leadership and mentoring capabilities.