Data Scientist

iO Associates
Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist
Location:Manchester (Hybrid - 2 to 3 days on-site)
Salary:Up to £55,000 + benefits
Industry:eCommerce

I'm recruiting on behalf of a fast-growing eCommerce business in Manchester that's looking for a Data Scientist to join their team. It's a hands-on role with a real opportunity to build and deploy machine learning models that directly impact how they serve and retain customers.

They've got rich datasets from web traffic, transactions, and customer behaviour and they're keen to turn that into smarter recommendations, better pricing strategies, and predictive insights that drive growth.

You'll be leading on end-to-end model development: exploring the data, experimenting with algorithms, tuning performance, and deploying models into production. This isn't a research role, they want someone who enjoys solving real business problems and seeing their work make a difference.

What they're looking for:

Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch

A good understanding of the full ML lifecycle - from data wrangling to live deployment

Comfortable working with both structured and unstructured datasets

Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP

Bonus if you have:

Experience of Regression Modelling, Time Series Forecasting and Cluster Modelling

Familiarity with recommendation systems, customer segmentation or demand forecasting

They're a collaborative bunch, data has real buy-in across the business, and you'll be working closely with product managers, marketers, and engineers. It's a great opportunity to join a business that's scaling up fast, with plenty of room to grow your career as they expand.

If it sounds like a fit, drop me a message and I'll tell you more.

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.

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.

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.

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.