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- Tasks: Use AI to analyse data and improve efficiency in the renewable energy sector.
- Company: A pioneering UK company transforming renewable energy with cutting-edge AI technology.
- Benefits: Competitive salary, 15% annual bonus, fully remote work, and occasional meetups.
- Why this job: Join a rapidly growing team and make a real impact on global sustainability.
- Qualifications: Strong Python and SQL skills, plus 2+ years in data science or analytics.
- Other info: Exciting opportunities for career growth in a dynamic, fully remote environment.
The predicted salary is between 50000 - 65000 £ per year.
Salary: £50,000 - £65,000 DOE + 15% Annual Bonus
Location: Fully Remote (occasional meetups in London)
Engagement: Full Time, Perm
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
- Implementing 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
The salary for this role is up to £60,000 along with a 15% bonus. The whole company work fully remote with occasional meetups throughout the year (usually in London, but could be anywhere in the UK). If you’re interested, apply today!!
Data Scientist employer: TW
Contact Detail:
TW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub to share your code and visualisations. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly and concisely. Remember, they want to see how you think, not just what you know!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your Python and SQL skills, and any experience with data science techniques. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about renewable energy and how your skills can help us redefine the sector. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at TW
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in relation to time series data. This will show that you not only understand the theory but can also apply it practically.
✨Show Off Your Analytical Mindset
Prepare to talk about how you've implemented analytics in past roles. Think of examples where you've extracted insights from data feeds or developed visualisations. This is your chance to demonstrate your problem-solving skills and how you approach data challenges.
✨Get Familiar with Their Tech
Research the AI technology and data science techniques the company uses. If they mention specific tools or methodologies in the job description, be prepared to discuss your experience with them. This shows genuine interest and helps you stand out as a candidate who’s ready to hit the ground running.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the team and their projects. Inquire about their approach to customer UX and how they measure success. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
