Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Graduate Data Analyst - London

Grayce Group
City of London
2 days ago
Create job alert
Overview

Job Position: Graduate Data Analyst – via the Graduate Development Programme

Locations: London

Starting Salary: £28,000

Application Requirements:

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

Note: Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.

About Grayce

Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we’re looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you’ll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together.

Understanding the types of roles available to a Graduate Digital Analyst
  • Data Analyst: Kick-start your career as a Data Analyst, where you’ll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You’ll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment.
  • Data Engineer: Launch your career as a Data Engineer, where you’ll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You’ll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights.
  • Data Scientist: Working as a Data Science Analyst, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems.
Why Grayce?

We specialise in driving change and transformation for some of the world’s most ambitious organisations and 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 programme is 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.

Opportunity & Delivery

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: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving.

Mentoring & Progression

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

Related Jobs

View all jobs

Graduate Data Analyst | Fast track your career to consultant in 12 months

Graduate Data Analyst - Power BI

Graduate Data Analyst - Power BI

Graduate Data Analyst - Power BI

Graduate Data Analyst - Power BI

Graduate Data Analyst - Power BI

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.