Junior Data Scientist

MRJ Recruitment
Manchester
2 days ago
Create job alert

Job Title: Junior Data Scientist (Junior)

Location: Manchester

About the Role

An exciting opportunity has opened up for a Junior Data Scientist to join a fast-paced eCommerce marketplace where data science plays a key role in shaping customer experience and commercial performance. You’ll work on real-world problems that impact millions of users, learning from experienced colleagues while building your capability across analytics, experimentation, and machine learning.

This role is ideal for someone early in their data science career who’s keen to develop strong practical skills, contribute to meaningful projects, and collaborate with a variety of teams across Product, Engineering, and Commercial.

Key Responsibilities
  • Support the design, experimentation, and implementation of data science models and algorithms.
  • Analyse large datasets to uncover patterns, trends, and actionable opportunities
  • Assist in building, testing, and evaluating machine learning models.
  • Collaborate with Product, Engineering, and Commercial stakeholders to understand problems and support data-driven solutions.
  • Contribute to A/B testing and experimentation frameworks, helping improve how decisions are validated and measured.
Requirements
  • Strong foundational knowledge of statistics and core machine learning concepts.
  • Hands-on experience using Python and SQL to analyse data and support model development.
  • Familiarity with common data science libraries such as Pandas, NumPy, and Scikit-learn.
  • Clear interest in experimentation, predictive modelling, and data-driven decision making.
  • Strong problem-solving ability, curiosity, and a willingness to learn from more experienced team members.
  • Confident communication skills, with the ability to explain insights to both technical and non-technical audiences.

Interested?

If you’re excited by the idea of turning data into meaningful customer experiences and want to see your work directly impact how people discover and buy products, we’d love to hear from you.


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data scientist

Junior Data Scientist / Data Analyst

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist: Build Insights for Dog-Food Startup

Junior Data Scientist: ML in Production (Hybrid)

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.