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For Companies At a Glance
- Tasks: Analyse complex datasets and build machine learning models to drive innovation.
- Company: Global software provider in the energy and utilities sector.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI and real-world applications.
- Why this job: Join a high-impact team at the forefront of data-driven innovation.
- Qualifications: Strong experience in Python, SQL, and statistical modelling; PhD preferred.
The predicted salary is between 80000 - 90000 £ per year.
We’re partnering with a global software provider in the energy and utilities sector to hire a Senior Data Scientist to join a high-impact, innovation-focused internal team. This is a fantastic opportunity to work on cutting-edge data initiatives, helping shape advanced analytics products used across the business. This is an ultra-visible team who will be positioned at the forefront of real innovation.
The Opportunity
As a Senior Data Scientist, you’ll work at the intersection of data, AI, and product development, delivering actionable insights and building scalable models that power real-world applications. You’ll collaborate closely with engineering, product, and business stakeholders, playing a key role in both discovery and delivery of data-driven solutions.
What You’ll Be Doing:
- Data & Insight
- Analyse complex datasets to uncover trends, patterns, and business drivers
- Translate insights into clear, compelling narratives and visualisations
- Identify opportunities to apply AI across products and services
- Model Development
- Design, build, and validate machine learning models
- Develop modelling inputs for AI pipelines and platforms
- Implement robust evaluation methods (A/B testing, causal analysis)
- Ensure models are explainable, ethical, and production-ready
- Collaboration & Delivery
- Work with data engineers to optimise data pipelines and quality
- Support deployment and monitoring of models in production
- Partner with stakeholders to embed data-driven decision-making
What We’re Looking For:
Essential:
- Strong experience with Python, SQL, and data analysis
- Solid background in statistical modelling & machine learning
- Proven experience building and deploying models end-to-end
- Strong problem-solving mindset with a pragmatic approach
- PhD in a relevant field (Data Science, Statistics, etc.) or commercial equivalent
Nice to Have:
- Experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with MLOps and production environments
- Exposure to energy, utilities, or telecoms data
- Ability to communicate technical concepts to non-technical stakeholders
Interested? Apply now or message me directly to learn more — all conversations will be confidential.
Senior Data Scientist in Wolverhampton employer: Eden Smith Group
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those in energy and utilities. 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 projects, especially those involving Python, SQL, and machine learning. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex datasets and built models in the past. Real-world examples will make you stand out!
✨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 are proactive about their job search.
We think you need these skills to ace Senior Data Scientist in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Senior Data Scientist role. Highlight your experience with Python, SQL, and any relevant machine learning projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our innovative team. Be sure to mention any experience with AI and model development.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex datasets or built models that made a real impact. We love seeing a strong problem-solving mindset, so don't hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Eden Smith Group
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to analyse complex datasets. Make sure you brush up on your data analysis skills and be ready to discuss specific projects where you've uncovered trends or patterns. Prepare examples that showcase your ability to translate insights into compelling narratives.
✨Showcase Your Modelling Skills
Be prepared to talk about your experience with building and deploying machine learning models. Highlight any end-to-end projects you've worked on, and be ready to discuss the evaluation methods you used, like A/B testing or causal analysis. This will demonstrate your practical knowledge and problem-solving mindset.
✨Collaboration is Key
This role involves working closely with engineering and product teams. Think of examples where you've successfully collaborated with cross-functional teams to deliver data-driven solutions. Emphasise your communication skills, especially in explaining technical concepts to non-technical stakeholders.
✨Stay Current with AI Trends
The energy and utilities sector is rapidly evolving, so it's crucial to stay updated on the latest AI applications. Research recent advancements in AI that could apply to this industry and be ready to discuss how you can leverage these innovations in your role. Showing your enthusiasm for continuous learning will set you apart.