At a Glance
- Tasks: Analyse data to solve utility management challenges with a talented team.
- Company: Exciting Research & Utilities company based in Bristol.
- Benefits: £35,000-£45,000 salary, 29 days holiday, enhanced pension, and professional growth support.
- Other info: Enjoy free office parking and a collaborative work environment.
- Why this job: Join a dynamic team and make a real impact in the utilities sector.
- Qualifications: 1-3 years experience in data science, proficient in R/Python, and time series analysis.
The predicted salary is between 35000 - 45000 £ per year.
Peaple Talent are very excited to have partnered exclusively 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.
- Experience using R / Python
- Exposure to Time Series Analysis
- Bonus points for experience within the Utilities industry
The role would suit someone with around 1–3 years of experience who enjoys operating across the full data lifecycle.
Holiday: 29 days holiday + UK bank holidays
Enhanced company pension contributions
Strong development support, and a clear focus on professional growth
Free office parking (reimbursable)
Marketing Data Scientist in Bristol employer: Peaple Talent
Join a forward-thinking Research & Utilities company in Bristol, where innovation meets collaboration. With a strong emphasis on professional growth and development, employees enjoy generous benefits including 29 days of holiday, enhanced pension contributions, and free office parking. This dynamic work culture fosters teamwork across multi-disciplinary teams, making it an ideal environment for those looking to make a meaningful impact in the Utilities sector.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist in Bristol
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Peaple Talent when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Peaple Talent.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Peaple Talent.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Peaple Talent’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Marketing Data Scientist in Bristol
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Peaple Talent, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Peaple Talent aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Peaple Talent
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
