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Lead Data Scientist

Beamery

London

On-site

GBP 50,000 - 90,000

Full time

26 days ago

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Job summary

An established industry player is seeking talented individuals to join their innovative team focused on transforming the talent lifecycle through AI and machine learning. This role offers the opportunity to work on cutting-edge projects that leverage advanced natural language processing and knowledge graph technologies. You will be responsible for developing AI systems, mentoring a data science team, and collaborating with cross-functional teams to solve complex business problems. Join a diverse and inclusive environment where your contributions will directly impact clients and help shape the future of HR technology. If you're ready to take on exciting challenges and drive innovation, this position is for you.

Qualifications

  • Strong technical background in machine learning and NLP.
  • Experience leading ML projects and mentoring teams.

Responsibilities

  • Develop and productionise AI systems focused on semi-structured data.
  • Collaborate with teams to provide data-driven solutions.

Skills

Machine Learning
Natural Language Processing
Data Science
Technical Leadership
Communication Skills

Education

Degree in Data Science or related field

Tools

CI/CD
ETL Pipelines
Testing Frameworks

Job description

ABOUT BEAMERY

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 over a million people annually.

Our product is used by Fortune 2000 organizations globally, leveraging cutting-edge AI technology that has earned us prestigious awards and financial backing from world renowned organizations such as Microsoft, Accenture & Workday.

Some of the innovative things Beamery is working on this year include:

  1. Transforming experiences throughout the talent lifecycle with the power of AI and LLMs by using learning models and Beamery's unique understanding of talent data.
  2. Focusing on 'Beamery Talent Portals,' our internal mobility tool which uses AI to help empower our customers to foster employee development, supports retention, encourages knowledge transfer, and reduces hiring costs.

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.

ABOUT THE TEAM

At Beamery Edge, our goal is to create a leading data and computational environment that enables large-scale experiments utilising our unique access to data. We focus on combining data, analytics, and science to provide solutions for our clients. A key aspect of our work is building a multimodal knowledge base that leverages structured and unstructured sources for exploration.

We are seeking talented and diverse contributors to join our team with a strong technical background. You must have experience in a tech scale-up environment. We are looking for experts in machine learning and natural language processing who are excited by the challenges of automated knowledge base construction, including information extraction, entity resolution, graph-based embedding/prediction, and search. This role involves leveraging state-of-the-art models for these tasks and developing new methods to provide actionable data to our clients. It is an exciting opportunity to expand your knowledge and curiosity and work within a global community.

As a hands-on position, you will have the freedom to be creative, ambitious, and bold, tackling novel R&D problems with the potential to directly impact our clients. We have an impressive toolkit and world-class data, and we are seeking talented individuals to join us.

WHAT YOU WILL BE DOING AT BEAMERY

  1. Develop and productionise AI systems and ML models specialising in semi-structured textual data.
  2. Work with highly connected data and exploit relationships in the Beamery Knowledge Graph to build foundational models.
  3. Build systems that automate the refinement and enrichment of a knowledge base.
  4. Mentor and coach the data science team.
  5. Stay current with cutting-edge AI research and proactively apply new approaches.
  6. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions.

WHO ARE WE LOOKING FOR?

  1. Data science professional with a strong business understanding and a focus on NLP.
  2. Proven experience leading ML projects across the full lifecycle.
  3. Comfortable dealing with uncertainty and pre-market product ideas.
  4. Deep expertise in natural language processing.
  5. Deep understanding with the new generation of Large Language Models.
  6. Familiarity with the search and recommendation problem space.
  7. Experience with Retrieval-Augmented-Generation systems is a plus.
  8. Strong technical leadership, communication skills, and mentoring experience.
  9. Strong understanding of software development processes and tools, including ETL pipelines, CI/CD, and testing frameworks.
  10. Ability to work collaboratively with data scientists, engineers, and non-technical stakeholders.

Our benefits | Beamery Careers

Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com

Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.

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