Remote Data Science Manager — Lead Impactful ML & Analytics

United States Digital Space LLC; Cardiff; On-site; GBP 100,000 - 130,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Learning budget (£1,000/year)

Job summary

Monzo is seeking a Data Science Manager to lead a team of Data Scientists and Data professionals. You will set the direction for your area, partner with Product and Engineering, and translate complex analyses into practical actions that drive customer and business outcomes.

You will leverage experimentation, causal inference, statistical modelling and ML to shape product strategy, while building credibility with senior leaders and guiding teams across the data ecosystem.

Qualifications

• Leads with data-driven decision making and strategy.
• Proven ability to grow and mentor data science teams.
• Strong collaboration with senior stakeholders across functions.
• Expertise in experimentation and causal inference.
• Strong foundation in statistics and ML techniques.
• Experience shaping product direction with data insights.
• Ability to communicate complex analyses to non-technical audiences.

Responsibilities

• Lead, develop and grow a team of Data Scientists and Data professionals.
• Hire, coach and retain talent, creating an enabling environment.
• Set Data Science direction for your area and drive business impact.
• Partner with Product, Engineering and senior stakeholders to shape strategy.
• Bring analytical rigor to ambiguous problems and derive actionable opportunities.
• Guide teams in experimentation, causal inference, statistics, and ML techniques.
• Ensure data, tooling and infra support Data Science work.
• Contribute to the wider Data Science discipline and raise standards.

Skills

Data leadership

People management

Stakeholder management

Experimentation

Causal inference

Statistical modeling

Machine learning

Product strategy

Tools

Python

SQL

Job description

Monzo is seeking a Data Science Manager to lead a team of Data Scientists and Data professionals. You will set the direction for your area, partner with Product and Engineering, and translate complex analyses into practical actions that drive customer and business outcomes.

You will leverage experimentation, causal inference, statistical modelling and ML to shape product strategy, while building credibility with senior leaders and guiding teams across the data ecosystem.