Lead Data Scientist - Data Strategy - Data Literacy - Machine Learning - Artificial Intelligence

Nexere Consulting Limited
London
1 month ago
Applications closed

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Job Description

Data Scientist Lead - Data Strategy - Data Literacy - Machine Learning - Artificial Intelligence

My high-end client are looking for a Data Science Lead who will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product, this could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data driven way.

Duties/Responsibilities:

Data Science strategy, vision, and roadmap -Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap.

Business requirements and data development through Data Science -Collaborating with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications.

Managing a team of Data Scientists -Day-to-day management of a team of data science specialists and Helping the team to determine the best route for tackling use cases

Improving data literacy across the business -Engage with both technical and non-technical audiences to explain the business value of a data science projects.

Project delivery -Required to build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders.

Knowledge, Skills and Experience

  • Extensive experience of managing multidisciplinary data teams (including data science, software development, research)
  • Experience of in the field practitioner experience of various analytical methods including Machine Learning & Artificial Intelligence
  • Experience of Business Analytics
  • Experience stakeholder management, including senior leaders, Executives and Board members.
  • Marketing experience, with a track record of achieving growth using data driven reasoning

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