Graduate Trainee - Data Science

Job description

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Before you apply

It's important we assess you for the programme that really suits your talents. Please only make one application, and note that if you make more than one we'll only accept your first.


Why Data Science?

At NatWest, our purpose is at the heart of everything we do. By deeply understanding our customers' needs, ambitions, and the changing world around them, we use data as one of our most valuable assets to deliver better experiences, drive informed decisions, and make our customers' lives easier.

To stay truly data-driven, we seek world-class Data Scientists who can innovate, challenge the status quo, and solve tomorrow's problems. Using advanced analytics, machine learning, AI, and strong technical expertise, our teams create, test, and scale solutions that transform how we work and unlock new possibilities for our customers.
Your graduate journey

As a Data Scientist graduate trainee within NatWest, we'll equip you with the knowledge, skills, and experiences you'll need to make a significant impact through your work and become a leading data science expert.

Over the course of this 12-month programme, you can expect to:

• Develop deep technical expertise in data science, working alongside experienced professionals
• Collaborate on real business projects to solve complex problems in areas such as Economic Crime or Climate
• Gain a strong understanding of how data science can enhance customer experiences across our customer franchises including Retail, Wealth and Commercial
• Gain hands-on experience with key tools and technologies, develop models using state of the art cloud technology, and learn about how to effectively build models utilising generative AI and machine learning frameworks
• Learn the full lifecycle of developing AI solutions, from ideation and model development to deployment, monitoring, and continuous improvement
• Work with large and complex data sets, applying statistical analysis, machine learning, and data visualisation techniques to uncover insights and inform strategic decisions
• Collaborate with engineers, analysts, and cross-functional teams, developing your communication and problem-solving skills to effectively translate technical findings into actionable business outcomes
• Explore ethical considerations in data science, with a strong focus on data privacy, responsible AI, and doing what's right for our customers and communities

How you'll benefit

We'll reward you with a starting salary of £42,000. And on top of your salary, you'll have access to our flexible benefits package.

You can also expect to:

• Learn from industry experts and immediately apply your learnings
• Accelerate your technical capability
• Enrich your learning with full access to our data pathways
• Expand your global professional network
• Grow your confidence, build your resilience, and elevate your presence and personal brand
• Experience first-hand what it's like working in a purpose-driven organisation that's investing in technology to deliver first class customer experiences

Entry requirements

To be eligible for our Data Science Graduate programme, you'll need:

• To have, or be on course to achieving a 2:1 in your degree in a STEM subject
• A genuine passion for data science, AI, and helping customers
• Good problem-solving skills with an analytical approach
• To be comfortable with ambiguity and championing change and innovation in an evolving world
• To be resilient, curious, and inquisitive

Ready to apply?

The application window for this programme will be open until we receive enough applications to fill our cohort. When that happens, we'll close the programme to new applications. It's important to take the time to make sure you're making the right decision about the programme you want to apply for (you can only apply for one programme) but please complete your application as soon as you can to make sure you don't miss out!
Have another question?

Head over to our 'Applying and eligibility support' page now for answers to some of our most commonly asked questions.