Data Science Lead

7 days ago

London, Greater London, United Kingdom Bud Financial Full time
Our Mission
Bud Financial is dedicated to creating the world's most compelling financial data products. Our products are used by prestigious institutions to help millions of customers take control of their finances.

Your Mission
The Technical Lead for Data Science is responsible for managing the technical execution that allows us to achieve our goal. This involves working closely with data scientists, data engineers, data analysts, and senior stakeholders across the business. You will also work alongside our Head of Data to define Bud's data strategy and take on line management responsibilities for a small number of data scientists/analysts.

Data at Bud
The data team is tasked with solving highly analytical problems to enable solutions that benefit the lives of millions of people. From collecting the right data to working with it to glean insights and guide our decision-making, the analyst is a key resource at Bud that is highly valued. Data is key to our business, and we need passionate analysts to help research and analyze data to push us forward.

What impact you'll have

  • Work with the Head of Data to develop our short and long-term vision and strategy for data science and data engineering within Bud.
  • Clear a path to ensure the achievement of that strategy/vision.
  • Work as the technical leader on our Data Intelligence product team, accountable with the Product Manager for the day-to-day activities of that team.
  • Manage data science, analytical, and engineering projects from start to finish.
  • Be a voice for all things data throughout the business.
  • Provide a conduit of information and context in and out of their product team with the rest of engineering and across the business.
  • Solve technical problems to make sure the team has the data they need, working to very high standards for data privacy and security.

What you'll have

  • Proven experience in Data Science and/or Machine Learning, including an understanding of fundamental technologies and processes involved in the research and development of data science models.
  • Proven experience in Python.
  • Knowledge of Data Engineering principles and architecture.
  • Experience defining, consensus building, and advocating a data strategy.
  • An excellent internal communicator, comfortable working with senior stakeholders (inc. C-suite), engineers, and tech leads from other disciplines, and data scientists, engineers, and analysts alike.
  • Comfortable communicating complex ideas with ease and eloquence to non-experts and commercial teams within the business as well as with clients directly in calls or through written answers to questions.
  • Ability to interpret and reason about data requirements from customers and internal stakeholders and facilitate the collection, processing, and usage of that data.

We believe that diversity will make us better.
At Bud Financial, culture is always at the forefront of our minds. We're looking for bold, authentic, and collaborative people who can bring innovation and creativity to our teams in line with our core values. We also value equal opportunities and do not discriminate on the basis of any protected attribute. We have a commitment to building an inclusive and diverse work environment, which means we encourage you to apply for our roles as we'd love to hear from you.

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