Data Scientist

Investigo
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Job description

Role: Data Scientist

Location: Coventry (

Rate: £500 to £600 per day outside IR35

Contract: 3 to 6 month contract


Investigo are currently searching for a Data Scientist to support one of the largest manufacturing companies in the world. The company are based in Coventry and there may be a requirement to come into the office 1 day per week.

We are looking for someone with expertise in AI algorithm development, forecasting, and deep learning. As part of the team, you'll design and fine-tune machine learning models, optimisation models and predict future values using time series analysis. Collaboration with cross-functional teams and effective communication are essential.

This responsibilities will include:

  • Gather and organise data from various sources.
  • Automate data collection processes to ensure efficiency.
  • Clean and validate data to ensure accuracy and completeness.
  • Handle both structured (e.g., databases) and unstructured (e.g., text) data.
  • Conduct statistical analyses on large data-sets to discover trends and patterns.
  • Use tools like R, SQL, and Python for data analysis.
  • Develop models to address business problems.
  • Utilize machine-learning techniques to forecast future trends and behaviours.
  • Create visualisations (e.g., charts, graphs) to communicate findings effectively.
  • Translate data insights into actionable recommendations.
  • Collaborate with engineering and product development teams.

The key skills we are looking for are:

  • Highly experienced in data science.
  • Understanding of machine learning and operations research.
  • Proficiency in R, SQL, and Python.
  • Previous experience of working within an engineering / manufacturing company.
  • Experienced in using BI tools (Power BI / Tableau).
  • Experienced using data frameworks (Hadoop).
  • Proficient in deep learning libraries (e.g., TensorFlow, Keras),

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.