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

Apply Now

Senior Data Scientist (9 month FTC)

N Brown
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Customer Data

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (9 month FTC)

Job details

Salary Up to £47,000 per annum LocationMancheser Discipline Reference019862

We’re looking for aSenior Data Scientist with experience delivering and managing data science models in a commercial setting to join us on a 9 month fixed term contract.

Data is one of five strategic pillars at N Brown and already plays a really important part in key decisions across our organisation. We’re centralised and highly visible giving us the scope to influence opportunities wherever they are. Our team use modern cloud technologies to build award-winning data science solutions. It’s rewarding to see our work make a genuine and measurable difference, recognised by our colleagues and in our company reports.

What will you do as a Senior Data Scientist at N Brown?

Build and enhance Machine Learning models to drive competitive advantage. Enhance model governance for our data products. Draw on your experience to code review and support the work of your colleagues. Produce compelling data stories backed by powerful visualisations. Contribute to an open, progressive and passionate data community.

What skills and experience will you have?

An excellent understanding of ML frameworks, algorithms and statistical methods. An excellent understanding of Python and SQL. Experience using AWS in a commercial setting. Exposure to broader production ML lifecycle an advantage. Excellent written and verbal communication skills, with the ability to influence and inspire others.

What’s in it for you?

Hybrid working 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days Annual bonus scheme Enhanced maternity and adoption leave Access to Apricity, a self-funding IVF benefit at a reduced rate Company pension with up to 8% N Brown contribution Mental Health support both internally and externally, including access to our wellbeing champions and counselling services A range of financial wellbeing support Colleague discount across all N Brown brands Onsite café with subsidised rates and local restaurant discounts! Life Assurance and Private Medical Insurance Paid volunteer time – all our colleagues can take a full day paid to volunteer for a charity of their choice

N Brown – who we are and why work for us?

At N Brown, we’re committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by ‘championing inclusion, we’ll become the most loved and trusted fashion retailer’. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture.

We’re a forward-thinking digital retailer with a financial services proposition to be proud of. We’re customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We’re experienced, with over 160 years of trading under our belt. We’re inclusive, as we believe in fashion without boundaries; and we’re sustainable, striving to make as little impact on the planet as possible.

In May 2024 we were delighted to be named one of The Sunday Times Best Places to Work 2024. We work hard to create a happy and inclusive culture for everyone and we’re so proud to have made this list - as voted for by our very own colleagues!

Ways of Working

We offer hybrid working which varies across the business depending on the role you’re in. Our Head Office is located in the Northern Quarter in Manchester City Centre. So if you are travelling by train, tram or bus we’re perfectly located, plus we’re surrounded by cool cafes, trendy bars and the best places to eat!

Our working hours are 36.17 per week and our core working hours are between 10am - 4pm. Given we don’t have strict working hours you can find the working pattern that’s right for you.

Our promise to you:

We’re an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

What happens when you apply to a role at N Brown?

As soon as we receive your application, we’ll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!

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.