At a Glance
- Tasks: Design and deploy data science solutions in a fast-paced energy trading environment.
- Company: Join a leading Oil and Gas Major with a focus on innovation.
- Benefits: Competitive daily rate, guaranteed 6-month contract, potential for extension.
- Other info: Immediate start in January; apply now to secure your interview!
- Why this job: Make a real impact in energy trading while working with cutting-edge technology.
- Qualifications: Strong Python skills, experience in machine learning, and excellent communication abilities.
The predicted salary is between 48000 - 72000 £ 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.
Lead Data Scientist - Energy 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
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Paritas Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist - Energy at Paritas Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Paritas Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist - Energy at Paritas Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist - Energy
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Paritas Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Paritas Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Paritas Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Paritas Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
