Data Scientist (Contract)

Doncaster
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist

Data Scientist

Data Scientist (Contract)

We have a new requirement for a Data Scientist to join an agile data team on an initial 6-month contract. This is for a client based in Doncaster, who are an established company working within the pet services and retail sector.

This is a hybrid role with some days onsite at our pet-friendly office in Doncaster and some days working from home. We will consider candidates based elsewhere across the UK depending on experience.

Details:

Data Scientist
6 months (initial contract)
Hybrid Remote (Doncaster)
£350/day (Outside IR35)

Our Ideal Candidate:

Will enjoy working in a fast paced, agile team environment, who can deliver against tight and changing deadlines and priorities.
Is passionate about the art of Data Science, has the right attitude for solving problems, "getting stuff done" and is hungry to learn.
Will be a motivated, curious, and analytically minded person who enjoys driving positive change using data.
Enjoy interacting with colleagues and the hurly-burly of office life.
Be able to manage workload and communicate the personal challenges they are facing.
Enjoy teaching and mentoring colleagues into the paradise of data wisdom.

What skills and experience interest us:

Highly numerate with a degree, or equivalent experience, in mathematics, statistics, science or related technical field.
Expertise in SQL and Python, with knowledge of ELT/ETL tools and/or Snowflake advantageous.
Experience processing large data sets and matching/merging data sets .
Demonstrable knowledge of applying statistical methods to data analysis, with experience of developing and deploying ML algorithms advantageous.
Knowledge of data mining techniques and where to apply these in a business environment.
Strong experience of implementing good software development practices (e.g. Git, ML Ops, Sprint planning etc.)
Excellent communication skills, with the ability to translate technical findings to non-technical stakeholders.

We're looking to get interviews booked in next week.. This will be a one stage Teams call with the Head of Data.

Please click APPLY or send your CV to , if you are an experienced Data Analyst looking for tier next contract.

In Technology Group Ltd is acting as an Employment Business in relation to this vacancy

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.