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- Tasks: Join a dynamic team tackling utility management challenges with data science.
- Company: Peaple Talent partners with an innovative Research & Utilities company in Bristol.
- Benefits: Enjoy a competitive salary, career progression, and excellent learning opportunities.
- Why this job: Work on diverse projects in a collaborative environment with industry experts.
- Qualifications: Experience with R, strong statistical background, and knowledge of time series analysis required.
- Other info: Hybrid work model with flexibility after six months.
The predicted salary is between 35000 - 48000 £ per year.
Data Scientist | Bristol | £35,000-£48,000
Peaple Talent are very excited to have partnered with an exciting Research & Utilities company based in Bristol, who solve challenging Utility management problems through the application of technical excellence.
We are now looking for a talented Data Scientist. In this role you will be working on a large range of projects as part of a multi-disciplinary team, working alongside other Data Scientists, Engineers, Statisticians, Analysts & Consultants.
We are looking for experience in the following areas:
- Experience using R
- Strong Statistical background, with knowledge of statistical modelling
- Exposure to Time Series Analysis
- Knowledge of Regression
- Bonus points for experience within the Utilities industry
What\’s in it for you?
💰Salary: £35,000-£48,000 DOE
📈Clearly defined career progression opportunities
🧑 💻Excellent L&D opportunities
📍Location: Bristol (Hybrid 2/3days onsite, flex to 1 day a month after 6 months)
Data Scientist employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with R prominently in your discussions. Highlight specific projects where you've successfully utilized R for data analysis or statistical modeling.
✨Tip Number 2
Brush up on your statistical knowledge, especially around statistical modeling and time series analysis. Be prepared to discuss how you've applied these concepts in real-world scenarios.
✨Tip Number 3
If you have any experience in the Utilities industry, make sure to mention it! This could set you apart from other candidates and show that you understand the specific challenges in this field.
✨Tip Number 4
Demonstrate your ability to work in a multi-disciplinary team. Share examples of how you've collaborated with engineers, analysts, or consultants in past projects to solve complex problems.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R, statistical modeling, and time series analysis. Use specific examples from your past work that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience in the utilities industry if applicable, and explain how you can contribute to solving utility management problems.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in R and statistical analysis. If you have any projects or case studies that showcase your abilities, consider linking to them.
Highlight Team Collaboration: Since the role involves working in a multi-disciplinary team, emphasize your experience collaborating with other professionals such as engineers and analysts. Provide examples of successful teamwork in your previous roles.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Statistical Skills
Make sure to highlight your strong statistical background during the interview. Be prepared to discuss specific statistical models you have worked with and how they apply to real-world problems, especially in the context of utility management.
✨Demonstrate R Proficiency
Since experience using R is crucial for this role, be ready to share examples of projects where you've utilized R effectively. Discuss any packages or libraries you frequently use and how they enhance your data analysis capabilities.
✨Discuss Time Series Analysis Experience
If you have experience with time series analysis, make sure to bring it up. Explain the methodologies you’ve used and how they can be applied to solve utility management challenges. This will show your relevance to the role.
✨Express Interest in the Utilities Industry
Even if you don't have direct experience in the utilities sector, express your enthusiasm for the industry. Research current trends and challenges in utility management, and be ready to discuss how your skills can contribute to solving these issues.
