At a Glance
- Tasks: Analyse energy data and build forecasting models while coding in Python.
- Company: Join a pioneering team at Complete the Mosaic, shaping energy intelligence.
- Benefits: Gain hands-on experience, mentorship from industry leaders, and career growth.
- Other info: Enjoy autonomy and lead projects from start to finish.
- Why this job: Make a real impact in finance by driving insights for top investors.
- Qualifications: Strong Python skills and a background in quantitative fields.
The predicted salary is between 80000 - 98000 £ per year.
Join Complete the Mosaic as our first Research Engineer, combining data analysis, forecasting model development, and production‑grade coding to drive insights for world‑class institutional investors.
You will learn from a proven leader in finance building the fastest, most accurate energy intelligence platform for institutional investors with an integrated solution providing the output of a top hedge‑fund commodity team.
- You’ll Split Your Time Between
- Research & Analysis (50%)
- Analyse energy flows, storage dynamics, and supply/demand signals to uncover market‑moving insights.
- Build and refine forecasting models for energy prices and market movements.
- Work directly with clients on bespoke analytical problems.
- Stay ahead of market trends and competitive developments.
- Engineering & Building (50%)
- Write production Python code to automate research workflows and scale analysis.
- Build data pipelines that power our products (Duck DB, Polars, SQL).
- Own end‑to‑end solutions from data ingestion to client‑facing outputs.
- Contribute to our core infrastructure and data architecture.
This is not: a research role where you hand off to engineers, or an engineering role where you ignore the research. You'll do both, report to the founder, and have real autonomy.
Ideal Fit
Strong foundation in Python or a quantitative field (physics, maths, engineering, economics).
Curiosity about both financial markets and how to build systems that scale.
Not afraid to do both research and code in the same week.
Success Looks Like
Within six months, you’ll have owned a research project from conception to client delivery, built a production pipeline that scales, and contributed to at least one core forecasting model.
Within 12 months, you’re leading your own research vertical or architectural initiative.
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Research Engineer employer: TargetJobs UK
At targetjobs UK, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters innovation and collaboration. Our Graduate Fire Engineer role not only provides competitive benefits such as 25 days holiday and flexible working options but also presents unique opportunities for professional growth in the thriving Cherwell District. Join us to make a meaningful impact in fire safety while enjoying a balanced work-life environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer
✨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 TargetJobs UK!
✨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 Research Engineer at TargetJobs UK.
✨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 TargetJobs UK.
✨Apply Directly through Our Website
When you find a suitable opening like Research Engineer at TargetJobs UK, 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 Research Engineer
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 TargetJobs UK, 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 TargetJobs UK. 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 TargetJobs UK
✨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 TargetJobs UK!
✨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.
