Senior Data Science Manager - Financial Planning and Analysis

Location: Global

Team: General

About the Role

Wise, a global technology company revolutionizing money movement, seeks a Senior Data Science Manager for our Financial Planning and Analysis team in London. This role offers a unique chance to drive data analytics, predictive modeling, and machine learning to fuel strategic decisions across finance, operations, and product teams. You'll transform complex datasets into actionable insights, forecasting trends and optimizing for revenue growth and efficiency, directly impacting Wise's mission to build the world's best money network for everyone, everywhere. As a technical leader, you'll spearhead time series forecasting and causal inference pipelines, mentor a talented data science team, and establish MLOps excellence for scalable deployments. Collaborating with senior stakeholders, you'll influence product roadmaps and business strategy while championing ethical AI practices. Join our diverse, inclusive culture where innovation and experimentation thrive, shaping the future of global finance.

Key Responsibilities

• Drive technical vision for time series forecasting and causal inference models
• Lead and mentor a team of data scientists, fostering career development
• Partner with cross-functional leaders to integrate data science into business strategy
• Establish scalable MLOps practices, model monitoring, and A/B testing frameworks
• Design data strategies and oversee model optimization for business requirements
• Define technical standards, governance, and best practices for data science projects
• Shape research agenda and evaluate emerging AI/ML technologies
• Champion responsible AI, ensuring ethical development and transparency

Required Qualifications

• Extensive experience in data science leadership within FP&A or finance teams
• Proven track record in building and leading high-performing data science teams
• Deep expertise in time series forecasting, causal inference, and machine learning models
• Strong background in MLOps, A/B testing, and model deployment at scale
• Experience partnering with finance, product, engineering, and operations stakeholders
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field

Preferred Qualifications

• PhD in a quantitative field
• Experience in fintech or financial services
• Knowledge of ethical AI practices and bias mitigation
• Prior work with large-scale financial datasets

Required Skills

• Time series forecasting
• Causal inference
• Machine learning and predictive modeling
• Python or R programming
• SQL and data querying
• MLOps and model deployment
• A/B testing and experimentation
• Statistical analysis
• Cross-functional stakeholder management
• Leadership and mentorship

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.