At a Glance
- Tasks: Design and deploy data science solutions for energy trading, driving impactful decisions.
- Company: Join a leading Oil and Gas Major in a dynamic trading environment.
- Benefits: Competitive daily rate with guaranteed 6-month contract and potential extensions.
- Other info: Fast-paced role with opportunities for growth and immediate start in January.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology.
- Qualifications: Strong Python skills, statistical knowledge, and experience in data-intensive environments required.
The predicted salary is between 36000 - 60000 £ per year.
We’re 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’s 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-in-depth 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
- 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.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology, Analyst, and Finance
Industries: Oil and Gas, IT Services and IT Consulting, and Services for Renewable Energy
Lead Data Scientist - Energy in England employer: Paritas Recruitment
Paritas Recruitment is an exceptional employer, offering a dynamic work environment in Oxford where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from leadership opportunities and the chance to work on cutting-edge projects in the Power Markets sector. The hybrid work model promotes a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Energy in England
✨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 Lead Data Scientist role. Personal recommendations 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, SQL, and machine learning concepts. Practising live coding and OOP design will help you feel more confident when it’s time to showcase your skills.
✨Tip Number 3
Showcase your projects! If you've built any data science solutions or worked on relevant case studies, make sure to highlight these in your discussions. Real-world examples can really impress potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes speed up the process, so don’t miss out!
We think you need these skills to ace Lead Data Scientist - Energy in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience in Python, machine learning, and any relevant projects in the energy sector. 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 data analysis, we want to see your hands-on experience. Include links to your GitHub or portfolio if you have one!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Paritas Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your Python, machine learning, and statistics. Be ready to discuss how you've applied these skills in real-world scenarios, especially in trading or data-intensive environments. They’ll want to see that you can not only talk the talk but also walk the walk.
✨Prepare for Technical Challenges
Expect live coding sessions and SQL challenges during the interview. Practise coding problems and SQL queries beforehand. Familiarise yourself with object-oriented programming concepts, as they might ask you to design a solution on the spot.
✨Showcase Your Communication Skills
You’ll need to explain complex data science concepts to both technical and non-technical audiences. Prepare examples of how you've done this in the past. Clear communication is key, so practice articulating your thought process and outcomes.
✨Understand the Energy Sector
Since this role is in the energy trading space, do some research on current trends and challenges in the oil and gas industry. Being able to discuss these topics will show your genuine interest and understanding of the sector, which can set you apart from other candidates.
