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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 globally.
- Qualifications: Strong experience in Python, SQL, and statistical modelling required.
- Other info: Opportunity for career growth and to work with cutting-edge technology.
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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to connections in the energy and utilities sector, especially those who work with data science. 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 data analysis projects, machine learning models, and any cool visualisations you've made. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when discussing complex topics like AI and model development.
✨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 hearing from passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Senior Data Scientist in London
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 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 or built scalable models in previous roles.
Showcase Your Problem-Solving Skills: In your application, emphasise your problem-solving mindset. We love candidates who can approach challenges pragmatically, so share instances where you've tackled complex data issues successfully.
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 about the process!
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 the machine learning models you've built and deployed. Highlight your experience with Python and SQL, and be ready to discuss the end-to-end process of model development, including evaluation methods like A/B testing. Bring examples that demonstrate your problem-solving mindset.
✨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 business.
✨Research the Company and Sector
Since this role is in the energy and utilities sector, do some homework on the company and its products. Understand the challenges they face and think about how your skills can help address them. This will not only impress your interviewers but also help you tailor your answers to their specific needs.