Head of Data Science

Beamery’s mission is to create equal access to work, skills, and careers. We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions – by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling smarter upskilling initiatives, and facilitating agile workforce planning. We are helping our clients hire and redeploy over a million people annually. Our product is used by Fortune 2000 organizations globally and enables users across 100+ countries to make smarter talent decisions and close skills gaps. Read more about our work here. What’s ahead — and why it’s an exciting time to join the team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future—powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work.

Beamery Edge builds a data and computation environment for large-scale experimentation with unique data assets. We combine data, analytics, and science to develop a multimodal knowledge base that draws on both structured and unstructured sources, enabling solutions such as information extraction, entity resolution, graph-based embeddings, and search. You’ll be part of a hands-on, globally distributed group tackling innovative R&D challenges that directly impact customers.

Our Technology Stack: Python · Agentic tools (Autogen, Semantic Kernel, LangChain) · SQL · MongoDB · Third-party LLM APIs · LiteLLM · MLflow · Google Cloud Platform · Docker · PyTorch · Hugging Face Transformers · SPARQL · Kubernetes

Strategic AI Leadership Define and implement the company’s AI and data science strategy, ensuring alignment with long-term product vision, commercial priorities, and evolving customer needs. Serve as a key connector between the C-suite and the data organization, clearly communicating strategy, progress, risks, and opportunities to executive stakeholders. Collaborate with Product, Engineering, and Commercial leadership to translate complex data capabilities into meaningful business outcomes. Represent Beamery as an external thought leader in the AI and data science community.

Execution Oversee the full lifecycle delivery of the AI project portfolio; from research through production across key areas including personalization, recommendation, analytics, and automation. Lead the development of impactful AI systems, including scaling the company’s Knowledge Graph and building agentic models to create new product experiences that deliver measurable value to customers.

Operational Management Lead, grow, and support a world-class, multi-disciplinary data team across data science, applied ML/AI, and knowledge engineering. Foster a culture of clarity, curiosity, and shared success that balances innovative research with customer-focused delivery. Implement and maintain robust governance, ethics, and compliance frameworks for all AI systems.

You are a collaborative builder, thoughtful problem solver, and innovative thinker. We’d love to hear from you if you have:

• Proven experience leading multi-disciplinary teams at scale (10+ people across data science, ML, engineering, knowledge graph/ontology, and AI).
• A strong track record of delivering AI-driven products in complex B2B or enterprise SaaS environments.
• Expertise in engaging and communicating with senior stakeholders.
• A strategic mindset paired with a pragmatic approach. Comfortable navigating ambiguity, making thoughtful trade-offs, and contributing meaningfully to outcomes.
• Solid grounding in applied ML/AI technologies (e.g., LLMs, graph learning, recommendation systems, optimization).
• A passion for building mission driven teams that combine research excellence with real-world commercial delivery.

Note: This is a hybrid role (Our office is based in London) - Monday, Tues & Bi-weekly Friday in office

A note on inclusivity: Beamery is committed to creating an inclusive environment for everyone. If you need reasonable adjustments to the recruitment process, please email accommodations at beamery dot com.