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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.
- Benefits: Competitive salary, remote work options, 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 a focus on innovation and data-driven decision-making.
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 team. This is a fantastic opportunity to work on cutting-edge data initiatives, helping shape advanced analytics products used across international markets.
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.
Data & Insight
- 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
Requirements
- Strong experience with Python, SQL, and data analysis
- Solid background in statistical modelling & machine learning
- Proven experience building and deploying models end-to-end
- Postgraduate degree in a relevant field (Data Science, Statistics, etc.)
- Experience with cloud platforms (AWS, Azure, GCP)
- Exposure to energy, utilities, or telecoms data
Data Science Data Science Senior Data Scientist (Python) (Remote) in 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in energy and utilities. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨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 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 technical skills and understanding the latest trends in AI and data analytics. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) in 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 statistical modelling and machine learning. 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 hands-on experience!
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Eden Smith Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any cloud platforms mentioned in the job description. Brush up on your statistical modelling and machine learning techniques, as you might be asked to discuss specific projects or challenges you've faced using these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've identified opportunities for AI in past roles. Think of examples where you designed, built, and validated machine learning models, and be ready to explain your thought process and the impact of your work.
✨Collaborate Like a Pro
Since this role involves working closely with engineering, product, and business stakeholders, be prepared to talk about your experience in cross-functional teams. Highlight how you’ve partnered with others to deliver data-driven solutions and the importance of communication in those scenarios.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s data initiatives. Inquire about their current projects, the tools they use, or how they measure the success of their models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.