At a Glance
- Tasks: Analyse data, build models, and deliver insights to drive business decisions.
- Company: Join a leading FTSE 250 company with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and clear career progression.
- Other info: Exciting opportunities for growth in a dynamic environment.
- Why this job: Kick-start your Data Science career and tackle real-world challenges.
- Qualifications: Master's in a quantitative field and experience with SQL and Python.
The predicted salary is between 33250 - 36750 £ per year.
- Graduate Data Science Analyst (2025/2026 MSc in Physics or Maths preferred)
- Hybrid- 3 days per week in Borehamwood (Head Office) & Home Working
- Salary circa - £35,000 Do E
A full UK driving licence and access to a car are essential, as their Borehamwood office is not accessible by public transport and attendance is required as part of their hybrid working model.
Join a FTSE 250 company, and kick-start your career in Data Science.
This is an exciting opportunity to work on real commercial challenges, applying data, statistics and machine learning to influence business decisions, with a clear progression path to Data Scientist.
The role
You'll work with stakeholders across the business to
- Analyse customer and commercial data to deliver actionable insights.
- Apply statistical techniques to optimise revenue and business performance.
- Query and analyse large datasets using SQL.
- Build analytical models and support machine learning initiatives.
- Develop self-service analytics tools and support experimentation.
About you
You'll have
- A Master's degree in Data Science, Statistics, Mathematics, Computer Science or another quantitative subject.
- Experience using SQL and Python, R or similar.
- A solid understanding of statistics and machine learning.
- Strong analytical, problem-solving and communication skills.
Desirable experience includes forecasting, segmentation, clustering or anomaly detection.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Science Analyst (2025/2026 MSc in Physics or Maths preferred) in Borehamwood
✨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 Datatech Analytics 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 Datatech Analytics.
✨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 Datatech Analytics.
✨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 Datatech Analytics’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Data Science Analyst (2025/2026 MSc in Physics or Maths preferred) in Borehamwood
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Datatech Analytics, 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 Datatech Analytics 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 Datatech Analytics
✨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!
