Python Developer (Data Scientist)

Impellam Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning/Python Developer

Experienced Recruitment Consultant – Artificial Intelligence & Bio Artificial Intelligence Manchester (Hybrid)

Machine Learning Engineer

Data Scientist

Azure MLOPs

Data Scientist

Data Scientist (python) 40- 55K

London hybrid working


You will be joining a digital-first marketing and advertising services company who are focused on connecting the dots across content, data & digital media and technology services.


The Opportunity

The marketing effectiveness division of this company is looking for a Data Scientist to support the next phase of their product and software development roadmap and help drive the company to grow.


The role description

  • Your role will be to assist with the development of the core analytical approaches and the client facing tools and systems, ensuring that they remain marketing leading and that they can plug seamlessly into wider group initiatives.
  • Maintain and enhance the suite of client facing tool and solutions
  • Develop and maintain cloud-solutions, ensuring speed, scalability and security for all the systems
  • Assist with the development of our core analytical products and ensure that the
  • Marketing measurement solutions are built on the newest and best approaches
  • Support the analyst teams to further automate their processes and workflows


Requirements


● Building solutions in R and/or Python using core data science

● Experience developing client facing web based tools, with experience in R:R Shiny or

Python: Dash/Flask particularly valuable

● Knowledge of cloud computing, particularly GCP or AWS

● Familiarity with solutions such as Git and Docker would be beneficial

● Experience and interest of working in marketing analytics and of using techniques such

as Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable

● Knowledge of machine learning techniques would be beneficial

● Ability to communicate complex ideas to non-technical stakeholders a must


If interested please apply today!

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 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.

Jobs

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.

Education

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.

🍪 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.