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For Companies At a Glance
- Tasks: Shape the company's data strategy and conduct audits across various departments.
- Company: Join a high-growth organisation aiming to reach £100 million in revenue.
- Benefits: Enjoy direct exposure to executives, career development, and a supportive environment.
- Why this job: Make a genuine impact by transforming siloed data into actionable insights.
- Qualifications: Recent graduates in Data Science or related fields with Python and SQL knowledge.
- Other info: Opportunity to build a data function from scratch and innovate.
The predicted salary is between 24000 - 36000 £ per year.
Location: Birmingham, UK
Salary: £28,000 - £30,000
About the Role
Intellect Group is proud to be exclusively representing a high-growth, multi-sector organisation that has scaled from £0 to over £30 million in revenue – with ambitions to reach £100 million in the next five years. We are seeking a Graduate Data Scientist to join the business at a pivotal stage in its growth. This is a foundational hire, where you'll be the first data-focused employee and have a real opportunity to shape the company's data strategy from the ground up.
Our client operates across a number of key industries, including contract catering, care homes, property management, and industrial services, with major contracts in the public and private sectors – including healthcare, education, and government.
The Opportunity:
This is a rare chance for a recent graduate to make a genuine impact. The organisation’s data is currently siloed across multiple business units, and senior leaders are looking to transform this into a centralised, accessible system that supports real-time decision-making, cost savings, and operational efficiency.
You’ll work closely with executives across the group to identify opportunities for data-led improvements, build robust reporting solutions, and lay the foundations for a future data team.
Key Responsibilities:
- Conduct a data audit across various departments and business units
- Clean, integrate, and standardise datasets stored across different systems and platforms
- Build interactive dashboards and visualisations using tools such as Power BI or Tableau
- Deliver insights that support strategic decisions across operations, finance, HR, and procurement
- Work collaboratively with stakeholders to understand their data needs and translate them into technical solutions
- Contribute to defining a long-term data strategy, including infrastructure and tooling recommendations
Ideal Candidate Profile:
- A recent graduate in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Strong working knowledge of Python and SQL
- Exposure to data visualisation tools (e.g., Power BI, Tableau, Looker)
- A genuine passion for data and solving real-world problems
- Excellent communication skills and the ability to explain data insights to non-technical audiences
- A proactive, self-starter attitude with a willingness to learn and grow
What’s on Offer:
- A rare opportunity to build a data function from scratch within a fast-growing organisation
- Direct exposure to C-suite executives and decision-makers
- Varied, impactful work across multiple industries and business functions
- Long-term career development and potential to progress into a leadership role
- Supportive, entrepreneurial environment with room to innovate
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Familiarise yourself with the industries the company operates in, such as healthcare and education. Understanding their specific data challenges will help you demonstrate your knowledge during interviews and show how you can add value.
✨Tip Number 2
Brush up on your skills in Python and SQL, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your ability to manipulate and analyse data effectively.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools like Power BI or Tableau. Create a portfolio of dashboards or visualisations you've built, as this will provide tangible evidence of your skills and creativity.
✨Tip Number 4
Network with professionals in the data science field, especially those who have experience in multi-sector organisations. Engaging with them can provide insights into the role and may even lead to referrals or recommendations.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Graduate Data Scientist role. Emphasise your knowledge of Python, SQL, and any data visualisation tools you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of the company's goals. Mention how you can contribute to their data strategy and support decision-making processes.
Showcase Relevant Projects: If you've worked on any projects related to data science, include them in your application. Describe your role, the tools you used, and the impact of your work to demonstrate your practical experience.
Prepare for Technical Questions: Anticipate technical questions related to data analysis, Python, and SQL during the interview process. Brush up on your knowledge and be ready to discuss how you've applied these skills in real-world scenarios.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your knowledge of Python and SQL in detail. You might be asked to solve a problem or explain how you would approach data cleaning and integration, so brush up on your technical skills and be ready to demonstrate them.
✨Understand the Business Context
Research Intellect Group and its various sectors. Understanding their business model and how data can drive improvements will help you tailor your responses and show that you're genuinely interested in making an impact.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data challenges. Think about past projects or hypothetical situations where you can illustrate your problem-solving skills and ability to work collaboratively with stakeholders.
✨Communicate Clearly and Confidently
Since you'll need to explain data insights to non-technical audiences, practice articulating complex concepts in simple terms. This will demonstrate your communication skills and your ability to bridge the gap between data and decision-making.
