Lead Data Scientist - Data Strategy - Data Literacy

Our client is seeking a skilled Lead Data Scientist to lead a team of high-performing data scientists in supporting the company’s growth strategy. In this role, you will drive both short and long-term decision-making processes, ensuring that data is leveraged as a product across various initiatives. This includes developing models such as propensity modelling, lifetime value (LTV) predictions, incremental testing, segmentation, and econometrics, while guiding your team members to create and execute data-driven strategies.

Responsibilities:

• Data Science Strategy & Vision:Collaborate with the Head of Data & Insight to define and communicate the data science strategy, vision, and roadmap.
• Business Requirements & Data Development:Work closely with business stakeholders and the Data Council to gather, document, and define requirements for data science projects, ensuring use cases, acceptance criteria, and specifications are clear.
• Team Leadership & Management:Oversee the day-to-day activities of a team of data science specialists, helping them navigate challenges and determine the best approaches to solving business problems.
• Promoting Data Literacy:Foster a culture of data-driven decision-making by effectively communicating the value of data science initiatives to both technical and non-technical stakeholders.
• Project Delivery:Lead the creation of innovative, efficient solutions to complex analytical problems, delivering clear insights and methodologies to internal stakeholders.

Required Skills & Experience:

• Proven experience leading cross-functional data teams (including data science, software development, and research).
• Hands-on expertise in applying analytical methods, including machine learning and artificial intelligence.
• Strong background in business analytics and driving data-centric decision-making.
• Experience managing senior stakeholders, including executives and board members.
• Solid marketing experience with a demonstrated ability to drive growth through data-driven strategies.