Staff Data Scientist

Simply Business
London
3 weeks ago
Applications closed

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Staff Data Scientist

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Lead Data Scientist

Lead Data Scientist

As a Staff Data Scientist, you will be part of a team that is bringing AI and Data Science to the forefront of SB. We are looking for an experienced, pragmatic, and technical Staff Data Scientist to enable our team to deliver value quickly.

The role reports to Josh Dawson, our Head of Analytics and Data Science, and collaborates with our talented Data Science team.

As our Staff Data Scientist, you will:

  1. Work closely with cross-functional development teams to build, test, and maximize the value of models across various use cases, including LLMs, propensity models, classification, and regression models.
  2. Contribute to the end-to-end development and deployment of ML and AI models.
  3. Define best practices for a team of highly talented and experienced Data Scientists.
  4. Engage with stakeholders in a high-paced, agile environment that encourages autonomy and growth.
  5. Have the autonomy to establish best practices in Data Science at SB and partner with stakeholders to drive value.

We are looking for someone who is:

  • Extensive experience (7+ years) as a Data Scientist/ML Engineer working on traditional ML, Data Science problems, and Generative AI.
  • Someone who views Data Science as a product, not just as a collection of models.
  • Passionate about all forms of technology, especially deployment and software engineering principles.
  • Proud of deploying real-time models.
  • Ready to help build the future of ML/AI at SB, both hands-on and by training our organization to optimize real-time modeling.

Note: You don’t have to match all the listed bullet points to be considered for this role.

We encourage applicants from diverse backgrounds and identities. We are committed to creating an inclusive and supportive environment where you can be yourself and perform your best.

Ready to build the future with our Data Science team at Simply Business? Apply today.

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