Data Science & GenAI Lead

Dufrain
Edinburgh
3 weeks ago
Applications closed

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Data Science & GenAI Lead

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

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 aData Science & GenAI Lead— a creative, technically strong, and commercially savvy expert — to join us in shaping the future of AI and data science delivery at Dufrain.

You’ll be at the forefront of solving real-world business challenges using the latest in machine learning and generative AI. With the freedom to innovate and the support of a growing team, this is a unique opportunity to build something impactful from the ground up.

Role Responsibilities

  • Lead the design and delivery of data science and GenAI solutions that generate tangible business value for our clients
  • Act as a trusted advisor, translating complex business problems into technical solutions using a tailored mix of ML and GenAI techniques
  • Identify and pursue opportunities to deliver added value and innovation across client engagements
  • Collaborate with engineers and MLOps professionals to develop scalable, robust, and production-ready solutions
  • Build and nurture strong client relationships through clear communication and outstanding delivery
  • Lead discovery sessions and workshops to understand client pain points and shape solution strategies
  • Mentor and grow internal talent, identifying skills gaps and driving professional development initiatives
  • Foster a culture of innovation, collaboration, and continuous improvement within the team
  • Represent Dufrain at industry events, conferences, and forums — contributing thought leadership through articles, blog posts, and strategic insights

Skills and experience required

  • Proven expertise in data science and AI, with a strong track record of delivering end-to-end ML and GenAI projects
  • Hands-on experience developing, deploying, and maintaining production-grade models
  • Excellent communication skills, with a collaborative approach and the ability to engage with clients and stakeholders of all levels
  • Skilled in working with LLMs, vector databases, RAG pipelines, prompt engineering, and fine-tuning
  • Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries
  • Naturally curious and passionate about staying ahead of AI and data science trends
  • Commercially aware, with the ability to identify new opportunities and deliver value-focused outcomes
  • Entrepreneurial mindset with the drive to lead and scale an impactful function

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.

"Kindly note that we are not engaging with recruitment agencies for this role."

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