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For Companies At a Glance
- Tasks: Analyse complex datasets and build machine learning models for real-world applications.
- Company: Global software provider in the energy and utilities sector.
- Benefits: Competitive salary, innovative projects, and collaborative team environment.
- Why this job: Join a high-impact team and shape advanced analytics products on a global scale.
- Qualifications: Strong experience in Python, SQL, and statistical modelling; postgraduate degree preferred.
- Other info: Opportunity to work with cutting-edge AI technologies and excellent career growth.
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 team. This is a fantastic opportunity to work on cutting-edge data initiatives, helping shape advanced analytics products used across international markets.
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
- Postgraduate degree in a relevant field (Data Science, Statistics, etc.)
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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work 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. Practice explaining your thought process clearly, as you'll need to communicate with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our innovative team at StudySmarter.
We think you need these skills to ace Senior Data Scientist in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in statistical modelling and machine learning.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our innovation-focused team. Share specific examples of how you've delivered actionable insights and built scalable models in previous roles.
Showcase Your Problem-Solving Skills: In your application, emphasise your strong problem-solving mindset. We want to see how you've tackled complex datasets and translated insights into clear narratives that drive decision-making.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 examples of how you've uncovered trends and patterns in past projects. Prepare to explain your thought process clearly.
✨Showcase Your Modelling Skills
Be prepared to talk about your experience with building and deploying machine learning models. Bring examples of models you've developed, including the challenges you faced and how you overcame them. Highlight your understanding of evaluation methods like A/B testing and causal analysis.
✨Communicate Like a Pro
You'll need to collaborate with various stakeholders, so practice explaining technical concepts in simple terms. Think of ways to translate your insights into compelling narratives and visualisations that non-technical team members can understand. This will show your ability to bridge the gap between data and decision-making.
✨Stay Current with AI Trends
The role involves identifying opportunities to apply AI across products. Keep yourself updated on the latest trends and advancements in AI and machine learning. Be ready to discuss how you can leverage these technologies to drive innovation within the company.