At a Glance
- Tasks: Use data to solve problems and drive better business decisions.
- Company: Join Grayce, a leader in delivering change for top UK organisations.
- Benefits: Gain industry-recognised accreditations, coaching, and clear career progression.
- Other info: Dynamic environment with opportunities across various data-focused roles.
- Why this job: Kickstart your career with hands-on experience and impactful projects.
- Qualifications: Minimum 2:1 degree in a STEM subject and strong problem-solving skills.
The predicted salary is between 31050 - 37950 £ per year.
Interested in using data to solve problems, uncover insights and help organisations make better decisions? Register your interest to hear about future opportunities within Grayce's Data Pathway. We'll keep you updated with career advice, application tips, industry insights and opportunities as you progress through your degree.
Grayce specialises in delivering change and transformation for some of the UK's most ambitious organisations. For over a decade, we've partnered with FTSE 100 and FTSE 250 companies, deploying high-performing early-career talent across major programmes of work.
Our Accelerated Development Programme offers a structured route into industry, giving you the opportunity to build sought-after data skills while working on real client challenges. From analysing trends and delivering insights to supporting data platforms and enabling data-driven decision-making, you'll gain hands-on experience from the start of your career.
Alongside practical client experience, you'll complete a minimum of five industry-recognised accreditations, receive dedicated coaching and mentoring, and benefit from clear progression pathways and significant salary growth as you develop.
The Data Pathway is designed for people who enjoy solving problems, uncovering insights and using data to drive better business decisions. By joining Grayce, you'll have the opportunity to develop your skills across a range of data-focused roles. Depending on your strengths, interests and client demand, you may progress into roles such as:
- Data Analyst
- BI Analyst
- Insight Analyst
- Reporting Analyst
- Hybrid Data/Business Analyst
- Data Engineer
- Data Governance Analyst
- Data Quality Analyst
Working directly with client teams, you could be analysing and interpreting complex datasets, building dashboards and visualisations, supporting data pipelines and transformations, ensuring data quality and governance, and communicating insights to stakeholders. As you progress, you'll have the opportunity to deepen your specialism or broaden your skillset, depending on your strengths and career goals.
All graduates join our Accelerated Development Programme, which includes:
- Hands-on client delivery alongside structured learning
- A minimum of five industry-recognised accreditations
- Dedicated coaching, mentoring and performance support
- Clear pathways for career progression and significant salary growth
As you build experience, you'll have opportunities to develop your expertise across analytics, data science, engineering and governance.
We're interested in students who demonstrate:
- Curiosity and a problem-solving mindset
- Strong communication and collaboration skills
- Adaptability in fast-paced environments
- An interest in technology and continuous learning
Above all, we're looking for people who are eager to learn, ready to take ownership and excited by the opportunity to make an impact.
Requirements:
- A minimum 2:1 degree (or equivalent) in a STEM (Science, Technology, Engineering, and Math) subject
- Have the right to work in the UK without requiring visa sponsorship
- Be able to work on-site 5 days per week
Future Graduates - Data Pathway in London employer: GRAYCE
Grayce is an exceptional employer for graduates seeking to launch their careers in data analytics, offering a dynamic work culture that prioritises hands-on experience and professional development. With access to industry-recognised accreditations and clear progression pathways, employees can expect meaningful growth and competitive salary advancements while contributing to impactful data-driven projects in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Future Graduates - Data Pathway in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Future Graduates - Data Pathway in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at GRAYCE will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at GRAYCE
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress GRAYCE.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show GRAYCE that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
