Who you are

• The ideal candidate will possess exceptional leadership skills, a deep understanding of the industry, and the ability to translate strategic objectives into actionable plans
• Proven ability to develop and execute data science strategies that align with business goals and objectives
• Deep understanding of data science principles, algorithms, and techniques including supervised and unsupervised learning, deep learning, natural language processing and have extensive knowledge of the low-level details behind these algorithms
• Recent experience leading GenAI initiatives focused on leveraging the latest capabilities of ChatGPT, Gemini or similar
• Several years of prior experience as a senior level data scientist developing and deploying machine learning and deep learning solutions end-to-end (data exploration to deployment)
• Skilled in recruiting, mentoring, and managing high-performing teams
• Passionate about leveraging advanced analytics and machine learning to drive innovation
• Strong track record of partnering with senior leadership and cross-functional teams
• Exceptional ability to convey complex technical information to diverse audiences
• Focused on defining OKR’s, KPIs and metrics to measure the impact and effectiveness of product workflows and data science projects
• Ability to translate data insights into strategic business recommendations
• Ensures adherence to data governance policies and standards
• Ability to explain complex algorithms and results to variety of audiences
• Previously as a data scientist with experience in Python, R Programming, ML Frameworks (Scikit learn) and Deep Learning Frameworks (TensorFlow, PyTorch)
• Preferably in the AzureML suite of machine learning technologies or prior experience with either AWS or Google machine learning tools and technologies
• With the following technologies SQL, SAP HANA, Hadoop, Snowflake, Linux, Azure, Azure Machine Learning, Databricks, Apache Spark (PySpark/Scala)
• With analysts to build reporting and dashboards for business use cases
• With data analysis, statistical analysis and the ability to convey complex analysis to broad audiences
• In a cloud based big data environment and deploying machine learning models at scale
• With source control, production and non-production environments and automated build and deployment
• Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures

What the job involves

• The Vice President will provide strategic leadership and direction, overseeing key business functions to drive growth and innovation
• This role involves managing a team of data scientists and analysts in cross-functional teams, ensuring operational excellence, and fostering a culture of collaboration and continuous improvement
• The Vice President will develop and implement strategic initiatives, align departmental goals with the organisation’s vision, and maintain strong relationships with stakeholders
• You will also lead a team of highly skilled data science analysts in data quality initiatives and tasks in a multi-product environment
• You will drive excellence in execution, automation and identify new and novel ways to enhance the overall data quality of our products and business process
• You’ve been involved in defining AI strategies and aligning those strategies to data, product and business strategies to support and enhance the overall success of those strategies
• You will contribute to the overall data strategy for the organization and assist with the strategy to align our data and processes with the AI strategy and lead the incorporation of AI for revenue generation, process optimization and data quality

Benefits

• Gym membership
• Pension plan
• Share purchase options
• Extra holiday purchase optional
• 25 days holiday (excl. bank holidays)
• Work from home opportunities
• Health insurance