Data Science Manager (Marketing)
Actively Reviewing the ApplicationsMoniepoint Group
India, Karnataka
Full-Time
On-site
Posted 2 hours ago
•
Apply by June 15, 2026
Job Description
Who We Are
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.
Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We’ve grown rapidly in Nigeria and the UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets - solving real, meaningful problems at scale.
We onboard over a million new customers each month, process hundreds of billions of dollars in payments annually, and support tens of millions of users across our ecosystem. Our India team is a core part of this scale, with ~100 teammates spread across the country. You’ll work in a fast-paced, high-impact environment alongside experienced operators from companies such as Gojek, Tide, Amazon, Walmart, Paytm, BharatPe, Zeta, Delivery Hero, Grab, and Groupon. If you want to build at scale, work with one of Africa’s highest-volume fintech data sets, and ship products that materially impact tens of millions of users, this is an exceptional time to join.
About The Role
We’re looking for a strategic and hands-on Data Science Manager (Marketing) to lead our data initiatives in a high-growth environment. This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech.
You’ll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You’ll be responsible for building and improving our current capabilities while shaping the future roadmap. We’re looking for a hands-on and data-driven strategic leader who can bring fresh thinking and inspire both the team and our customers.
Your day-to-day
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.
Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We’ve grown rapidly in Nigeria and the UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets - solving real, meaningful problems at scale.
We onboard over a million new customers each month, process hundreds of billions of dollars in payments annually, and support tens of millions of users across our ecosystem. Our India team is a core part of this scale, with ~100 teammates spread across the country. You’ll work in a fast-paced, high-impact environment alongside experienced operators from companies such as Gojek, Tide, Amazon, Walmart, Paytm, BharatPe, Zeta, Delivery Hero, Grab, and Groupon. If you want to build at scale, work with one of Africa’s highest-volume fintech data sets, and ship products that materially impact tens of millions of users, this is an exceptional time to join.
About The Role
We’re looking for a strategic and hands-on Data Science Manager (Marketing) to lead our data initiatives in a high-growth environment. This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech.
You’ll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You’ll be responsible for building and improving our current capabilities while shaping the future roadmap. We’re looking for a hands-on and data-driven strategic leader who can bring fresh thinking and inspire both the team and our customers.
Your day-to-day
- Strategic Leadership: Be a key leader in building a discipline of exceptional data scientists and analysts. Develop and execute a comprehensive data strategy - design what world class looks like
- Team Building & Management: Hire, develop, and retain a high performing team of data professionals
- Experimentation: Champion and drive a culture of rigorous experimentation, including A/B testing, to inform product development and business decisions.
- Data Pipeline Ownership: Oversee the end-to-end ownership, design, development, and maintenance of scalable and reliable data pipelines.
- Data Insights & Analytics - including model development and productionisation: Drive the generation of actionable insights from data to support various business functions, including product, marketing, risk, and operations. How can we build Marketing Mix Models for better channel attribution modeling? What is our actual channel per channel mCAC? Which customer segments are more/less engaged? What are our customers’ share of wallet - how can we use this?
- Stakeholder Collaboration: Liaise with marketing, product, and engineering managers to ensure we collect the right data for meaningful business insights. Bring data leadership and rigour to our approach to product development. Build a strategic understanding of the business and structure complex projects to bring them to life.
- What we’re doing here at Moniepoint excites you!
- You have proven experience (typically 8+ years overall and +4 years in management / in data leadership roles), with a strong focus on strategy, execution, and team management. You love coaching and make everyone better around
- you.
- You’ve expertise in experimentation methodologies and A/B testing frameworks (multivariate, geo-holdouts, etc, variance reduction techniques)
- You can create data pipelines (including designing/architecting them - ETL/ELT) - especially using cloud platforms (we use Clickhouse and Bigquery here)
- You’re confident with data Science tools languages (Python and SQL). You know when to pick the right tool, and can help others do the same
- Strong analytical, problem-solving, and communication skills - you can describe the problem, solve it, and relay it back to a wide array of audiences
- You love working in marketing and using advertising data from platforms such as Facebook
- The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
- The chance to work on innovative and impactful projects
- A dynamic, diverse, and collaborative environment where every team member’s voice is recognized and valued
- Flexible work arrangements
- Continuous learning and career growth opportunities
- Competitive salary, individual performance bonuses, and firmwide performance bonus
- Company covered health insurance plans
- Pension plans
- A preliminary phone call with one of our recruiters
- An intro call with the Director of Data Science
- Take-home task (hands on coding / marketing modelling case study)
- A business case study with our Head of Marketing Strategy & Data
- A live technical coding interview with our Director, Data Science
- A 60 min culture fit interview with our Director, Data Science
Required Skills
Communication
Product Development
Engineering
Team Management
Leadership
Coaching
Python
Cloud Platforms
SQL
Maintenance
BigQuery
LESS
ClickHouse
ETL
Relay
A/B Testing
Advertising
Data Science
Continuous Learning
Testing
Marketing strategy
Analytics
Risk
Variance
Hiring
Attribution modeling
Data strategy
Model development
Modeling
Strategic leadership
Attribution
Data pipelines
Testing frameworks
Data insights
Financial Inclusion
Experimentation
Business Insights
Performance bonuses
Data leadership
Customer segments
Business Case
ELT
Data Pipeline
Stakeholder Collaboration
Confident
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