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- Tasks: Design and deploy data science solutions for energy trading.
- Company: Join a leading Oil and Gas Major in a high-impact environment.
- Benefits: Competitive daily rate with guaranteed 6-month contract and extension potential.
- Why this job: Make a real impact in energy trading with cutting-edge data science.
- Qualifications: Strong Python skills, machine learning experience, and advanced SQL knowledge.
- Other info: Fast-paced role with opportunities for immediate interviews and January start.
The predicted salary is between 48000 - 72000 £ per year.
We are hiring multiple Senior Data Scientists to join a high-impact energy trading environment for an Oil and Gas Major. This role is focused on designing, building, and deploying robust data science and machine learning solutions that directly support trading and commercial decision-making. It is a hands-on position suited to experienced practitioners who are comfortable operating in complex, fast-paced environments.
What you will do:
- Building and deploying scalable data science and machine learning solutions into production
- Working closely with data engineers, software engineers, and business stakeholders across trading functions
- Applying strong statistical and machine learning foundations to solve real-world trading and optimisation problems
- Performing deep-dive data analysis to deliver clear, actionable insights
- Owning the full data science lifecycle, from initial exploration and prototyping through to deployment and ongoing support
- Contributing to GenAI / LLM-driven use cases and clearly articulating outcomes to technical and non-technical audiences
- Writing clean, maintainable, and well-documented code within complex enterprise systems
- Taking part in technical reviews and discussions, with a strong focus on value delivery and pragmatism
What I need from you:
- Strong hands-on development experience in Python and/or other object-oriented languages such as Java
- Excellent grounding in statistics, machine learning, and core mathematical concepts
- Proven experience delivering production-grade data science solutions in complex environments
- Exposure to modern data science tooling, including LLMs and RAG-style approaches
- Advanced SQL skills
- Experience working at enterprise scale, ideally in trading or similarly data-intensive domains
- Strong written and verbal communication skills
- Comfortable with technical interview formats, including live coding, OOP design, and SQL challenges
This role requires urgent attention as my client ideally needs people to start in January. Successful applicants will progress to interview ASAP to make this start date possible. Should you be interested please do not hesitate to apply now.
Lead Data Scientist - Energy in London employer: Paritas Recruitment
Contact Detail:
Paritas Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Energy in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy sector and let them know you're on the hunt for a Senior Data Scientist role. A personal recommendation can make all the difference, so don’t be shy about asking for introductions.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and get comfy with live coding challenges. Practising common data science problems will help you feel more confident when it’s time to showcase your expertise.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really impress potential employers. Make sure to highlight any machine learning solutions you've built that relate to trading or optimisation.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Lead Data Scientist - Energy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects in energy trading. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in the energy sector and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying machine learning solutions or performing deep-dive analyses, we want to see your hands-on experience. Include links to your GitHub or portfolio if you have them!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen to join our team at StudySmarter!
How to prepare for a job interview at Paritas Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your statistics and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in trading or data-intensive environments. Prepare examples of your past projects that showcase your hands-on experience with Python and SQL.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle live coding challenges and OOP design questions. Practice solving problems on platforms like LeetCode or HackerRank to get comfortable with the format. Remember, it’s not just about getting the right answer but also demonstrating your thought process.
✨Communicate Clearly
You’ll need to articulate complex ideas to both technical and non-technical audiences. Practice explaining your past projects and the impact they had on decision-making in a straightforward manner. This will show that you can bridge the gap between data science and business needs.
✨Understand the Company and Role
Research the company’s position in the energy trading sector and understand their specific challenges. Tailor your responses to show how your skills can directly contribute to their goals. Being knowledgeable about their operations will impress the interviewers and demonstrate your genuine interest.