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- Aufgaben: As a Data Scientist, you'll analyze data using AI to improve efficiency and user experience.
- Arbeitgeber: Join a UK-based company revolutionizing renewable energy with cutting-edge AI technology.
- Mitarbeitervorteile: Enjoy a fully remote role with occasional meetups and a competitive salary plus annual bonus.
- Warum dieser Job: Be part of a rapidly growing team making a real impact in the renewable energy sector.
- Gewünschte Qualifikationen: Strong Python and SQL skills, 2+ years in data science, and a solid academic background required.
- Andere Informationen: This is a full-time, permanent position with opportunities for professional growth.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Role : Data Scientist
Salary : £50,000 – £65,000 DOE + 15% Annual Bonus
Location : Fully Remote (occasional meetups in London)
Type : Full Time, Permanent
We have partnered with a UK-based company that is redefining the renewable energy sector with their AI technology. Operating on a global scale, and after remarkable growth over the past 3 years, they’re looking to further expand their Data Analytics Team by recruiting a Data Scientist. The candidate will be responsible for using AI and cutting-edge technology to collect and analyse huge amounts of data to analyse behaviour, identify irregularities and make recommendations on improving efficiency all in the name of data science.
Responsibilities
- Implement analytics for automatically extracting insight from data feeds
- Develop data visualisations and analytics
- Implement a process to build-measure-learn rapidly on customer UX
- Experiment with statistical/ML approaches
Requirements
- Strong Python experience
- Strong SQL experience
- A strong working knowledge of data science techniques and tools
- Experience working with time series data
- 2+ years of experience in a data science or data analytics position
- Strong academic background in maths, statistics, physics, computer science or similar subjects (2:1 or above)
- Right to work in UK
If you’re interested, apply today!
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Data Scientist Arbeitgeber: TW
Kontaktperson:
TW HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Python and SQL in your conversations. These are crucial skills for the Data Scientist role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and data science, especially in the renewable energy sector. Being able to discuss current technologies and their applications will show your passion and knowledge during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented data visualizations or analytics. Real-world examples of how you've used data to drive decisions will demonstrate your practical experience and problem-solving skills.
✨Tip Number 4
Since the role involves working with time series data, brush up on your understanding of time series analysis techniques. Being able to articulate your experience with this type of data will be beneficial during discussions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your strong Python and SQL experience, as well as your familiarity with data science techniques. Include specific projects or roles where you've worked with time series data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for renewable energy and AI technology. Mention how your skills align with the responsibilities of the Data Scientist role and provide examples of how you've used analytics to drive insights.
Showcase Relevant Experience: When detailing your work experience, focus on your 2+ years in data science or analytics. Highlight any projects where you implemented analytics or developed data visualizations that improved efficiency.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python and SQL during the interview process. Prepare examples of how you've applied statistical or machine learning approaches in your previous roles.
Wie du dich auf ein Vorstellungsgespräch bei TW vorbereitest
✨Showcase Your Technical Skills
Make sure to highlight your strong Python and SQL experience during the interview. Be prepared to discuss specific projects where you utilized these skills, as well as any data science techniques and tools you've worked with.
✨Demonstrate Your Analytical Thinking
Since the role involves analyzing behavior and identifying irregularities, be ready to share examples of how you've approached complex data problems in the past. Discuss your thought process and the statistical or machine learning methods you employed.
✨Prepare for Practical Assessments
Expect to face practical assessments or case studies that test your ability to implement analytics and develop data visualizations. Brush up on relevant tools and be ready to demonstrate your problem-solving skills in real-time.
✨Understand the Company’s Mission
Research the company’s focus on renewable energy and AI technology. Being able to articulate how your skills can contribute to their mission will show your genuine interest in the role and help you stand out as a candidate.
