Senior Data Scientist – Data Science & GenAI

Dufrain
Edinburgh
6 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

Social network you want to login/join with:

Senior Data Scientist – Data Science & GenAI, Edinburgh

col-narrow-left

Client:Location:

Edinburgh, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

c2e67ffe260c

Job Views:

25

Posted:

25.08.2025

Expiry Date:

09.10.2025

col-wide

Job Description:

We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services.

At Dufrain we pride ourselves on a creative and innovative approach, focusing on delivering exceptional outcomes for clients by leveraging data to drive growth and efficiency.

Our mission is to inspire, shape and deliver the data capabilities of tomorrow.

MAIN PURPOSE OF THE ROLE:

We’re looking for a Senior Data Scientist with hands-on experience in Machine Learning and Generative AI, and a passion for solving real-world business problems using advanced data techniques

This is a fantastic opportunity to join a growing team, work on high-impact projects, and contribute to innovative AI and data science solutions across a wide range of industries.

Role Responsibilities

  • Design and implement data science and GenAI models to solve client challenges
  • Collaborate with client stakeholders to understand business requirements and shape technical approaches
  • Contribute to the delivery of scalable, production-ready solutions alongside data engineers and MLOps teams
  • Apply a range of techniques including LLMs, RAG pipelines, vector databases, prompt engineering, and fine-tuning
  • Participate in client workshops and discovery sessions to gather requirements and present findings
  • Stay up to date with the latest trends in AI and data science, and bring innovative thinking to projects
  • Help foster a collaborative and knowledge-sharing culture across the data science team
  • Represent Dufrain at industry events, conferences, and forums - contributing thought leadership through articles, blog posts, and strategic insights

Skills and experience required

  • Strong practical experience delivering ML and/or GenAI projects end-to-end
  • Proficient with Python and common data science tools and libraries
  • Hands-on experience with GenAI tools and frameworks such as Hugging Face, LangChain, and open-source LLMs
  • Familiar with cloud platforms (Azure preferred), and tools such as Databricks
  • Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries
  • Comfortable working with clients and explaining technical concepts to non-technical stakeholders
  • A natural problem solver, with a keen interest in learning and staying ahead of developments in the AI space
  • Ideally experienced working in a consultancy or client-facing role

If you’re passionate about data, and you’re looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain.

Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available.

We are an equal opportunity employer and value diversity at our company.. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other status protected by law. All qualified applicants will receive consideration for employment without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.


#J-18808-Ljbffr

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.