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- Tasks: Validate and improve AI/ML models for energy and smart infrastructure applications.
- Company: Leading client in the energy sector focused on AI-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a tech team making a real impact on sustainability and operational efficiency.
- Qualifications: 5+ years in AI/ML model validation with strong Python or R skills.
- Other info: Collaborative environment with a focus on innovation and data governance.
The predicted salary is between 36000 - 60000 £ per year.
Location: Birmingham, UK (Hybrid – 3 days in office).
About Our Client
I am working on behalf of a leading client in the energy and smart infrastructure sector, developing AI‑driven solutions to improve operational performance, efficiency, and sustainability across complex systems.
Position Summary
My client is seeking an experienced Data Scientist to join their technology team. The role focuses on validating and improving AI/ML models used in operational and infrastructure applications. The ideal candidate will have hands‑on experience in model validation, data analysis, and working with large, complex datasets in production environments.
Key Responsibilities
- Design and implement validation frameworks to ensure AI/ML models meet performance, accuracy, and reliability standards.
- Conduct experiments and analyse model outputs, providing actionable insights to improve model performance.
- Develop automated testing pipelines to streamline model validation processes.
- Collaborate with Data Engineers, ML Engineers, and cross‑functional teams to optimise data quality and model deployment.
- Prepare and present validation results, metrics, and recommendations to stakeholders.
- Ensure adherence to data governance standards and industry best practices.
Qualifications
- 5+ years’ experience in AI/ML model validation, ideally in energy, smart infrastructure, or industrial automation.
- Proficiency in Python, R, or MATLAB, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
- Strong knowledge of statistical techniques, model evaluation metrics, and validation methodologies.
- Experience preparing and wrangling large datasets for model validation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and production deployment of ML models.
- Excellent problem‑solving, analytical, and communication skills.
How to Apply
If you’re interested in applying for this exciting position, email your CV to drew.guinnane@hunterphilps.com or apply directly to this advert.
Data Scientist in Birmingham employer: Hunter Philips Executive Search
Contact Detail:
Hunter Philips Executive Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly message on LinkedIn can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role focuses on AI/ML model validation, be ready to discuss your experience with Python, R, or MATLAB and how you've tackled similar challenges in the past.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've improved model performance or streamlined processes. This will demonstrate your hands-on experience and analytical mindset.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in the position and the company.
We think you need these skills to ace Data Scientist in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI/ML model validation and any relevant projects you've worked on. We want to see how your skills align with what our client is looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python, R, or MATLAB in your previous roles. We love seeing real-world applications of your expertise.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy and ensures your application goes straight to the right people. Don’t miss out!
How to prepare for a job interview at Hunter Philips Executive Search
✨Know Your Models Inside Out
Make sure you’re well-versed in the AI/ML models you’ve worked with. Be ready to discuss specific validation techniques you've used, and how they improved model performance. This shows your hands-on experience and understanding of the role.
✨Showcase Your Data Skills
Prepare examples of how you've wrangled large datasets for model validation. Highlight any tools or frameworks you’ve used, like TensorFlow or PyTorch, and be ready to explain your approach to data quality and governance.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of instances where you’ve successfully collaborated with Data Engineers or ML Engineers. Share how you optimised processes or solved problems together, as teamwork is key in this position.
✨Present with Confidence
Practice presenting your validation results and insights clearly and concisely. You might be asked to explain complex concepts to stakeholders, so being able to communicate effectively will set you apart from other candidates.
