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For Companies At a Glance
- Tasks: Shape the company's data strategy and conduct audits across departments.
- Company: Join a high-growth organisation aiming for £100 million in revenue.
- Benefits: Enjoy career development, exposure to executives, and a supportive environment.
- Why this job: Make a real impact by building a data function from scratch.
- Qualifications: Recent graduate in Data Science or related field with Python and SQL skills.
- Other info: Opportunity to innovate and progress into a leadership role.
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
Graduate Data Scientist employer: Intellect Group
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 the specific data challenges these sectors face will help you demonstrate your knowledge during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, 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 how you would approach building a data strategy from scratch. Think about the steps you would take to centralise data and improve accessibility, as this will show your proactive mindset and strategic thinking.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll be working with non-technical stakeholders, being able to communicate insights clearly will set you apart from other candidates.
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, such as Power BI or Tableau.
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 your eagerness to work closely with executives to drive data-led improvements.
Showcase Relevant Projects: If you've worked on any projects during your studies or internships that involved data analysis, cleaning, or visualisation, be sure to include these in your application. Describe your role and the impact of your work.
Prepare for Technical Questions: Anticipate technical questions related to data science concepts, Python, and SQL during the interview process. Brush up on your knowledge and be ready to discuss how you would approach real-world data problems.
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 the industries they operate in. Understanding their business model and the challenges they face will help you articulate how your skills can contribute to their data strategy and decision-making processes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of examples from your studies or projects where you had to analyse data, build visualisations, or communicate insights to non-technical audiences. This will show your practical application of data science.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data and its potential to drive business improvements. Share any personal projects or experiences that highlight your proactive attitude and willingness to learn, as this aligns with the company's entrepreneurial environment.
