Senior Data Science Manager

10 hours ago

London, Greater London, United Kingdom Howden Full time

About The Role

Howden Group Services is expanding its internal AI & Data Science capability and is looking for a Data Science Senior Manager to help shape, build and develop an industry-leading data science team. If you have a strong track record in building teams which deliver products with data science & AI as their core, we want to speak to you.

You will report into the Group Head of Data Science and are a strategic thinker with deep technical expertise who is driven by growing the next generation of data scientists. The successful candidate will be comfortable managing people as well as working cross-functionally to ensure data science and AI products don't remain at the proof-of-concept stage but deliver tangible outcomes to the business.

Role Responsibilities

  • Lead a diverse team of Data Scientists in Howden's central Data function, delivering Group-wide products and providing best practice and support to Howden businesses looking for Machine Learning and AI solutions to solve their business problems

  • Become part of the leadership team of the Group Data Science function, shaping a culture of excellence and high job satisfaction

  • Help shape, influence, design and shepherd data science and AI use cases from early stages all the way through to production

  • Demonstrate thought leadership and set a strong example, fostering a culture of technical excellence and rigor to ensure the team consistently meets high standards of delivery.

Your Skills

  • 5-7 years' experience in data science and machine learning, of which 2-3 years spent managing and mentoring junior professionals. If you have fewer years of experience, we'd be looking for a strong track record of delivering data science products with real usage and adoption

  • Experience working with Data Engineering, MLOps and Product teams to bringing Machine Learning systems from research all the way to deployment and maintenance

  • A genuine passion for developing others and setting clear career paths for junior and mid-level data scientists

  • A product mindset with a focus on solving problems and pain points, and teaching your team to evaluate their work through the lens of its end users

  • Excellent Python programming skills and hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face

  • Experience deploying models through CI/CD pipelines, MLOps best practices, model lifecycle management, and software development best practices (git, testing & code review). Familiarity with Azure AI Foundry and/or Databricks a strong plus

  • Skilled at creating KPIs and success metrics and analysing the pros and cons of different technical approaches and solutions

  • Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive-level narratives

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