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- Tasks: Shape advanced analytics products and deliver actionable insights using data and AI.
- Company: Global software provider in the energy and utilities sector with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a high-impact team and make a real difference in data-driven solutions.
- Qualifications: Strong experience in Python, SQL, and machine learning; PhD or equivalent required.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 80000 £ 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.
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.
- Identify opportunities to apply AI across products and services
- Design, build, and validate machine learning models
- Develop modelling inputs for AI pipelines and platforms
- Implement robust evaluation methods (A/B testing, causal analysis)
- 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
Strong experience with Python, SQL, and data analysis. Solid background in statistical modelling & machine learning. Proven experience building and deploying models end-to-end. PhD in a relevant field (Data Science, Statistics, etc.) or commercial equivalent. Experience with cloud platforms (AWS, Azure, GCP). Exposure to energy, utilities, or telecoms data.
Data Science Data Science Senior Data Scientist (Remote) in City of London employer: Eden Smith Group
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 machine learning models and AI applications. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss your past projects and how you've applied statistical modelling and machine learning in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in machine learning and statistical modelling. We want to see how you can bring value 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 your background aligns with our mission at StudySmarter. Don’t forget to mention any experience you have with AI and cloud platforms.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It helps us understand your approach to problem-solving!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Eden Smith Group
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and machine learning concepts. Be ready to discuss your past projects in detail, especially those involving model building and deployment. They’ll want to see how you’ve applied your skills in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering and product teams, be prepared to talk about your experience collaborating with different stakeholders. Share examples of how you’ve successfully partnered with others to deliver data-driven solutions.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practice common data science problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
✨Understand the Business Context
Familiarise yourself with the energy and utilities sector. Knowing how data science can impact this industry will show your genuine interest in the role. Think about how you can apply AI to their products and services, and be ready to share your ideas.