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For Companies At a Glance
- Tasks: Develop forecasting models and enhance accuracy in energy analytics.
- Company: International energy company based in Manchester with a focus on innovation.
- Benefits: Attractive salary, flexible working hours, and numerous employee benefits.
- Why this job: Join a team shaping the future of energy with your data science skills.
- Qualifications: Advanced knowledge in Python and SQL, plus experience in time series forecasting.
- Other info: Opportunity to work in a dynamic environment with career growth potential.
The predicted salary is between 42000 - 84000 £ per year.
Ein internationales Energieunternehmen in Manchester sucht einen erfahrenen (Senior) Forecasting Data Scientist, um Prognosemodelle zu entwickeln und die Modellgenauigkeit zu verbessern.
Die ideale Kandidatin hat fortgeschrittene Kenntnisse in Python und SQL und Erfahrung in Zeitreihenprognosen in der Energiebranche.
Neben einem attraktiven Vergütungspaket bietet das Unternehmen flexible Arbeitszeiten sowie zahlreiche betriebliche Benefits.
Werden Sie Teil des Teams und gestalten Sie die Energiezukunft mit.
Senior Forecasting Data Scientist - Hybrid Energy Analytics in Manchester employer: SEFE Energy GmbH
Contact Detail:
SEFE Energy GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Forecasting Data Scientist - Hybrid Energy Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working in forecasting or data science. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best forecasting models and any relevant projects. This will give you an edge during interviews and demonstrate your hands-on experience with Python and SQL.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions for data scientists, especially those related to time series forecasting. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Forecasting Data Scientist - Hybrid Energy Analytics in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced knowledge in Python and SQL right from the start. We want to see how your skills can contribute to developing forecasting models and improving accuracy.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your experience in time series forecasting, especially in the energy sector. This will help us see how you fit into our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your qualifications and experiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at SEFE Energy GmbH
✨Know Your Models
Make sure you can discuss the forecasting models you've worked on in detail. Be prepared to explain your approach to improving model accuracy, especially in the context of energy analytics.
✨Brush Up on Python and SQL
Since advanced knowledge in Python and SQL is crucial for this role, review key libraries and functions that are commonly used in data science. Be ready to demonstrate your coding skills or solve a problem on the spot.
✨Understand the Energy Sector
Familiarise yourself with current trends and challenges in the energy industry. This will help you relate your technical skills to real-world applications and show your passion for shaping the future of energy.
✨Prepare Questions
Think of insightful questions to ask your interviewers about their forecasting processes and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
