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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 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 Senior Data Scientist in City of 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 your technical skills and problem-solving techniques. Be ready to discuss your experience with Python, SQL, and model deployment, as well as how you approach data-driven decision-making.
✨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 City of 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 both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms. Think of ways to translate your technical insights into compelling narratives that can influence decision-making.
✨Research the Company and Sector
Since this role is in the energy and utilities sector, do your homework! Understand the current trends and challenges in the industry. This will not only help you answer questions but also show your genuine interest in the company and its mission.