Senior Data Scientist with a GenAI focus

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5 Locations
Cloud • Software • Consulting
The Role

Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. 
**Please note that this position is open as either a permanent or a contractor agreement.
 

About Us   

Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.

About the role 

Join our rapidly growing Data Practice as we build cutting-edge Generative AI solutions for clients across industries. In this role, you’ll work hands-on with multi-disciplinary teams to design, prototype, and deliver AI solutions that tackle real business challenges. You’ll collaborate closely with clients, taking them on the journey from early adoption to full-scale deployment, blending technical expertise with a strong consultative approach.

We’re looking for someone with deep experience in NLP and Generative AI (including RAG), who can combine critical thinking, creativity, and technical skill to solve complex problems. You’ll act as a trusted advisor, translating technical possibilities into business impact while ensuring strong client relationships built on credibility and empathy.

Skills and Experience required

  • Proven experience in LLM / Generative AI and RAG projects, ideally in a leadership or senior delivery role.

  • 4+ years in a data science or related role, with hands-on NLP experience.

  • Fluent in Python, capable of rapidly prototyping solutions and delivering production-ready code.

  • Familiarity with Azure data services and cloud-based AI infrastructure.

  • Knowledge of best practices in model tuning, drift monitoring, and optimization.

  • Strong consulting and stakeholder management skills; able to break down complex business problems and propose clear technical solutions.

What you will do

  • Collaborate with clients to understand business needs and identify where Generative AI can add value.

  • Lead prompt engineering and chain-of-thought reasoning to build LLM-based solutions.

  • Implement Resource-Augmented Generation (RAG) solutions, optimizing chunking, metadata, and retrieval processes.

  • Ensure all solutions follow Responsible AI principles.

  • Rapidly develop demos to showcase the potential of Generative AI.

  • Contribute to the development of Ascent’s GenAI methodology, frameworks, and accelerators.

  • Be an active member of Ascent’s Data Science and Generative AI communities, helping to evolve our capabilities and share knowledge across the organization.
     

Why join us

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.

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The Company
London
452 Employees
Year Founded: 2005

What We Do

Ascent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We design, build and manage cloud-native products, solutions, platforms and experiences on Azure. Our community of engineers, architects, data scientists, experience designers and consultants is here to help customers do something new, or do something better. Ascent is home to 450+ technology specialists across 5 key European locations (UK, Germany, Portugal, Malta and Bulgaria). Our talented, consultative teams deliver a range of solutions, from digital product and service design to mobile app development, API integrations, data engineering, AI and data science. Our modern app, data and infrastructure platforms help businesses leave legacy behind and enable rapid, efficient innovation

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