Graduate Trainee - Data Science

AI in this role

ai-safety

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.

Hours

Job Posting Closing Date:

Job Posting Closing Date is not yet published.

Ways of Working:Hybrid

How we rate this

Graduate Trainee - Data Science at NatWest Group rates 81 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Safety

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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