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- Tasks: Join a dynamic team to analyse customer data and drive strategic decisions.
- Company: Be part of a fast-growing, digitally focused business connecting buyers and sellers.
- Benefits: Enjoy remote work with occasional travel to London and a competitive salary.
- Why this job: Gain hands-on experience in data science while contributing to meaningful insights.
- Qualifications: Must have a numerical degree in Maths or Economics with a 2.1 or above.
- Other info: Opportunity for referrals with rewards for introducing candidates.
The predicted salary is between 21000 - 42000 £ per year.
Graduate Junior Data Scientist Customer Centric business – 2025 Graduates Maths/Economics -2.1 & Above
UK based remote role with occasional financed travel to London offices.
Salary circa depending on exp £35,000
Job Reference J12999
An exciting opportunity has arisen to join a fast growing, digitally focused business that seamlessly connects thousands of buyers with hundreds of sellers. As the company continues to establish its unique identity, the data team is expanding and looking for a junior data scientist to join their dynamic environment.
In this role, you’ll play a key part in driving data-informed decision-making by working with diverse datasets, with a strong emphasis on uncovering customer behaviours and preferences.
Embedded within a small but dynamic team that values collaboration and mentorship, you’ll gain hands-on experience with Python and machine learning techniques building valuable skills while contributing to meaningful business insights.
Responsibilities:
- Assistant in Analysing large customer datasets to identify trends, patterns, and opportunities that support strategic decision-making.
- Help Build, maintain, and improve dashboards and reports to monitor key performance and customer-related metrics.
- Support with data scientists, engineers, and business stakeholders to understand data requirements and deliver actionable insights.
- Is detail-oriented with strong problem-solving and analytical skills.
Your experience and Skills:
- Strong performance with a numerical degree ideally mathematics or economics.
- Is eager to learn and grown into the field of data
- A basic proficiency in SQL for data extraction and querying would be useful.
- Ideally has experience with data visualisation tools such as Tableau, Power BI, or Metabase would be beneficial.
- Articulate and confident communicator, skilled at conveying complex ideas with clarity and impact
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK\’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
Graduate Junior Data Scientist Customer Centric business - 2025 Graduates Maths/Economics -2.1 & Above employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Junior Data Scientist Customer Centric business - 2025 Graduates Maths/Economics -2.1 & Above
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Python and SQL. Consider taking online courses or tutorials to boost your skills in these areas, as practical knowledge will set you apart during interviews.
✨Tip Number 2
Engage with data science communities online, such as forums or LinkedIn groups. Networking with professionals in the field can provide insights into the role and may even lead to referrals, which can significantly enhance your chances of landing the job.
✨Tip Number 3
Prepare to discuss your analytical thinking and problem-solving skills in detail. Think of examples from your studies or projects where you successfully analysed data or solved complex problems, as this will demonstrate your fit for the role.
✨Tip Number 4
Research the company’s customer-centric approach and be ready to share your thoughts on how data can drive customer insights. Showing that you understand their business model and values will make a strong impression during your interview.
We think you need these skills to ace Graduate Junior Data Scientist Customer Centric business - 2025 Graduates Maths/Economics -2.1 & Above
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numerical degree in Maths or Economics, and any relevant experience with data analysis, Python, or SQL. Emphasise your problem-solving skills and eagerness to learn, as these are key attributes for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and familiarity with data visualisation tools like Tableau or Power BI.
Showcase Relevant Skills: When detailing your skills, focus on your proficiency in Python and any experience you have with machine learning techniques. Highlight your ability to communicate complex ideas clearly, as this is crucial for collaborating with team members.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is essential for a data-driven role.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Analytical Skills
Prepare to discuss your experience with analysing datasets. Be ready to share specific examples of how you've identified trends or patterns in data, especially in relation to customer behaviour.
✨Demonstrate Your Technical Proficiency
Brush up on your Python and SQL skills before the interview. Be prepared to answer technical questions or even solve problems on the spot to showcase your understanding of data extraction and manipulation.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to convey your ideas clearly will be crucial, especially when discussing insights with non-technical stakeholders.
✨Express Your Eagerness to Learn
Highlight your enthusiasm for the field of data science and your willingness to grow. Companies value candidates who are eager to learn and adapt, so share your goals for professional development.