National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Graduate Data Analyst

The Digital Dance Academy
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst (SQL/EXCEL) (Amazing Airline!-Heathrow)

Data Analyst

Data Analyst

Data Science Analyst (Graduate 2024/25)

Graduate Finance Data Engineer

Accelerated Data Analyst Training Programme (Hiring Immediately)

Job Position:Graduate Data Analyst (Engineer/Scientist) – via the Graduate Development Programme

Location:London

Starting Salary:£28,000

Application Requirements:

  1. Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject
  2. Experience in analysing data
  3. Right to work in the UK unsponsored for the duration of the programme
  4. Ability to work on site 5 days a week.

Grayce specialises in driving change and transformation for some of the world’s most ambitious organisations. For over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond.

Our Accelerated Development Programmeis designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles such as Data Analysis, InfoSec, Software Testing and DevOps.

Join Grayce and accelerate your career!

Opportunity:You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience working full time on site directly with prestigious FTSE100, 250, and 500 organisations.

Delivery:You will work with one client, delivering high-quality outcomes during your Grayce tenure, before transitioning to working directly for them. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving.

Mentoring:Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They’ll be your go-to, offering support, insights, sharing experiences.

Progression:Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme.

What makes a great Grayce Analyst:

2:1 Undergraduate Degree:An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage.

Data Tools:Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you.

Analytical Problem Solving:We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application.

Soft Skills:From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process.

Why work for us?

Competitive Salary:Starting at £28,000 with potential for significant growth

Industry Recognition:We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career

Mentors and Coaches:Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce

Wellness Support:We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.