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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 work on cutting-edge data initiatives that make a real difference.
- Qualifications: Strong Python and SQL skills, with experience in statistical modelling and machine learning.
- 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 (Python) (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 (Python) (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to people 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. 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 AI and data science. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (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 a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Eden Smith Group
✨Know Your Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with statistical modelling and machine learning, as well as any projects you've worked on that involved building and deploying models end-to-end.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering, product, and business stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve partnered with others to deliver data-driven solutions.
✨Prepare for Technical Questions
Expect some technical questions related to AI, machine learning, and data pipelines. Brush up on evaluation methods like A/B testing and causal analysis, and be ready to explain how you would implement these in real-world scenarios.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or how they measure the success of their data initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.