At a Glance
- Tasks: Develop and productionise time-series models for energy generation using ML-driven forecasting.
- Company: Join Marlin Selection Ltd, a leader in energy trading and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact in the energy sector with cutting-edge technology and data analysis.
- Qualifications: Experience in machine learning, time-series analysis, and data engineering collaboration.
The predicted salary is between 63000 - 77000 £ per year.
Marlin Selection Ltd seeks an expert in ML-driven forecasting to develop and productionise time-series models for energy generation.
You will build forecasting pipelines, collaborate with data engineering to onboard data feeds and monitor quality, and analyse power market fundamentals to improve model features.
The role also involves maintaining dashboards and providing technical modelling support to analysts and key stakeholders in a fast-paced energy trading context.
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Energy Forecasting Data Scientist – Time-Series & MLOps in London employer: Marlin Selection Ltd
Join a well-established financial services firm in London that values collaboration and employee growth. With a supportive work culture, you will benefit from a hybrid working model, excellent development opportunities, and the chance to gain diverse experience in both HR and Legal functions. This role not only offers a dynamic work environment but also encourages professional advancement in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Forecasting Data Scientist – Time-Series & MLOps in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Energy Forecasting Data Scientist – Time-Series & MLOps 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 Marlin Selection Ltd, 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 Marlin Selection Ltd. 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 Marlin Selection Ltd
✨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 Marlin Selection Ltd!
✨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.
