At a Glance
- Tasks: Combine data analysis and coding to drive insights for top investors.
- Company: Complete the Mosaic, a forward-thinking company in energy forecasting.
- Benefits: Gain autonomy, work on impactful projects, and develop your skills.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
- Why this job: Make a real difference in energy analytics while honing your technical expertise.
- Qualifications: Experience in Python, data analysis, and building data pipelines.
The predicted salary is between 40000 - 50000 £ per year.
Complete the Mosaic is hiring a Research Engineer to combine data analysis, forecasting model development, and production‑grade coding to drive insights for world‑class institutional investors. You’ll split your time 50/50 between Research & Analysis and Engineering & Building, writing production Python code, building data pipelines (DuckDB, Polars, SQL), and delivering client‑facing outputs. The role reports to the founder and offers autonomy to own research projects from concept to delivery.
Research Engineer: Energy Forecasting & Scalable Analytics in London 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: Energy Forecasting & Scalable Analytics in London
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Research Engineer: Energy Forecasting & Scalable Analytics 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: Energy Forecasting & Scalable Analytics in London
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.