At Humara we're developing the next generation of virtual sales assistants. With genAI at our core, we help users discover products that truly fit their needs, provide Product Experts to answer their questions 24/7, and guide them through complex sales processes in any channel they choose.
We're looking for a Senior Data Scientist to join our established team and be a hands-on contributor to new and existing features of our multi-agent conversational sales product, with a focus on agentic and LLM-driven systems that perform reliably in production and drive conversion. You'll work alongside a multi-skilled group of data scientists, AI engineers and MLOps specialists in cross-functional teams. We deliver against quarterly OKRs, own our work end to end, and put collaboration at the heart of how we operate.
Requirements
Strong ML experience, hands-on NLP and production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience with reinforcement learning or an understanding of sales psychology would be desirable plus there's plenty of ambitious work now and upcoming.
The person we're looking for
Enjoys tackling hard, open-ended problems and seeing the solution through to real users
Has a get-things-done mindset and takes work from idea to delivery
Keeps learning and stays current in a fast-moving field
Practical and collaborative: argues a position with conviction, and changes it when the evidence says so
Explains technical ideas clearly to engineers and commercial teams alike
Works independently and manages their own time and priorities well
You'll be responsible for
Designing, building and shipping LLM and agent-based systems, from first prototype to live product
Building retrieval pipelines (RAG, ranking, recommendation, summarisation, grounded Q&A)
Training, fine-tuning and optimising models, mainly for language tasks
Defining how we measure success, through offline evals, experiments and production monitoring tied to user and commercial outcomes
Keeping systems dependable, with automated testing, observability, troubleshooting and incident response
Setting the bar for code quality, security, data governance and documentation
Working closely with engineering, data and product teams, and mentoring others
Skills and experience
Extensive experience in data science and ML, including hands-on delivery of LLM-powered and agentic systems running in production at scale
Works AI-natively day to day, using AI tools and agents as a core part of how they build, test and ship
Strong Python, plus PyTorch, scikit-learn or similar frameworks
Hands-on LLM work: prompting, fine-tuning, grounding and guardrails
Agentic systems at scale, including orchestration (LangChain/LangGraph), tracing and evals (Langfuse), memory design, and latency and cost trade-offs
Embeddings, vector search and hybrid search
Solid grounding in statistics and ML theory across supervised and unsupervised learning, NLP (entities, intent), recommendation, prediction and uplift modelling
Full model lifecycle and MLOps: containerisation (Docker/ECR) and deployment on AWS
Working with large text datasets and data pipelines
Nice to have: sales psychology applied in data products
Please note that this is a hybrid role and will require regular travel to our Brighton office.
Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.
Benefits
Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)
Private Medical Insurance via AXA (after 1 year service) Launching in April 2026
Life Insurance scheme
25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years). Including Christmas closures.
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