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Jobs in Salford, United Kingdom

Graduate Trainee - Data Science

NatWest Group

City of Edinburgh
Remote
GBP 42,000
Today
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Band 6 NHS DoLS Assessor - Remote - Sanctuary Personal

Sanctuary Personnel Ltd

United Kingdom
Remote
GBP 10,000 - 40,000
Today
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Partnerships Account Manager

Allianz

Croydon
Remote
GBP 65,000
Today
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Sales Compensation Manager

HighTouch

United Kingdom
Remote
GBP 104,000 - 127,000
Today
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Data Science Placement Programme

Career Change

City Of London
Remote
GBP 25,000 - 45,000
Today
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Bank General Practitioner

SECamb

Crawley
Remote
GBP 125,000 - 150,000
Today
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Lead AI GCP Architect

We Are Dcoded Limited

Manchester
Remote
GBP 100,000 - 125,000
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Project Adminstrator

The Royal Wolverhampton NHS Trust

Wolverhampton
Remote
GBP 24,000 - 28,000
Today
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Account Executive - Mid Market

SoftBank Investment Advisers (SBIA)

East Lindsey
Remote
GBP 60,000 - 80,000
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GRC Project Manager

Twinstream Limited

Scotland
Remote
GBP 60,000 - 80,000
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Supervising Social Worker - Independent Fostering Agency

Charles Hunter Associates

Greater London
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Licensed Clinical Social Worker (LCSW)

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Lancaster
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GBP 85,000 - 90,000
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Band 6/7 Paediatric Occupational Therapist - Work in Jersey - Cardiff - Sanctuary Personal

Sanctuary Personnel Ltd

Cardiff
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GBP 60,000 - 80,000
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Assistant Director – IT, Data & Information Governance

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York and North Yorkshire
Remote
GBP 70,000 - 90,000
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Sales Engineer

ReCharge Payments

United Kingdom
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GBP 74,000 - 93,000
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Advanced Clinical Practitioner for Primary Care

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GBP 40,000 - 60,000
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Huzzle

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GBP 80,000 - 100,000
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MyOutreach

Canterbury
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GBP 80,000 - 120,000
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Awin Global

London
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GBP 70,000 - 90,000
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Rise Technical Recruitment Limited

Attleborough
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GBP 25,000 - 30,000
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London
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GBP 70,000 - 90,000
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Senior BA - Orchestrade + Commodities

Luxoft

United Kingdom
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GBP 45,000 - 60,000
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Market Research Interviewer - UK Wide

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City Of London
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GBP 60,000 - 80,000
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Software Architect ( Java or .Net)

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Graduate Trainee - Data Science
NatWest Group
City of Edinburgh
Remote
GBP 42,000
Full time
Yesterday
Be an early applicant

Job summary

A leading financial institution based in Edinburgh is seeking Data Science graduate trainees. You will develop technical expertise in data science, gain hands-on experience with advanced tools, and collaborate across teams to drive innovation. This two-year programme offers a starting salary of £42,000 and a flexible benefits package. Ideal candidates will have a passion for data science, problem-solving skills, and a 2:1 in a STEM subject.

Benefits

Flexible benefits package
Access to industry experts
Professional development opportunities

Qualifications

  • Must have, or be on course to achieving a 2:1 in your degree in a STEM subject.
  • Genuine passion for data science and AI.
  • Good problem-solving skills with an analytical approach.

Responsibilities

  • Develop deep technical expertise in data science.
  • Gain hands-on experience with key tools and technologies.
  • Collaborate with Engineers and Analysts.

Skills

Analytical skills
Problem-solving
Adaptability
Communication
Collaboration

Education

2:1 in a STEM subject

Tools

Machine learning frameworks
Data visualization tools
Cloud technology
Job description
Overview

Why Data Science? At NatWest, our purpose is everything. It’s embedded in everything we do, every customer relationship, every download of our app, every support call. We’re driven to truly understand our customers’ hopes, needs, and the changing world they live in, to see the possibilities available to them.

We keep data at the heart of everything we do, and data is one of our biggest assets. How we harness this data to understand the world, our business, and our customers is crucial to our success and making our customers’ lives easier.

To make sure we are truly data driven and committed to our customers, we need to recruit world-class Data Scientists. You’ll drive innovation, challenge the status quo, and lead the way to help us solve tomorrow’s problems as the data and AI space continue to evolve.

We’re passionate about harnessing the power of data science and AI to transform how we do business and drive bold new customer experiences and solutions. We work closely with our teams to utilise advanced analytics, statistics, coding and programming skills, machine learning, and leading AI solutions to build, experiment, and test. We change the way we do things, for the better.

Overview: The Data Science Graduate Programme

As a Data Scientist graduate trainee within our Data & Analytics business, 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 two-year programme, you can expect to:

  • Develop deep technical expertise in data science, working alongside experienced professionals across teams such as Climate Analytics, Fraud, Financial Crime, Retail Banking, and Innovation
  • Gain an understanding of how data science can enhance customer experiences
  • 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 datasets, 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
Benefits

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
Programme 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!

Not all of our graduate programmes offer Skilled Worker sponsorship. We will only offer sponsorship if there is a business requirement to do so and the job meets Skilled Worker Visa eligibility criteria.

Have another question?

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

Details

Hours: 35

Job Posting Closing Date is not yet published. Ways of Working: Remote First

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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