Senior Data Scientist – Data Science & GenAI

Dufrain
Edinburgh
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (GenAI)

Data Scientist / AI Engineer

Lead Data Scientist

Data Scientist

Senior Data Science Consultant

Data Scientist - Hertfordshire, HP2 4YL

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 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.