Head of Data Science

Kredivo Group; Jakarta Pusat; On-site; IDR 600,000,000 - 1,200,000,000; Full time

Job summary

Kredivo Group in Indonesia seeks a Head of Data Science to lead a 20+ person team spanning credit risk, collections, and growth modeling. This senior role partners with the Chief Data Officer to define vision, priorities, and a long-term roadmap while driving impactful data-driven decisions at scale.

You will mentor talent, balance hands-on work with strategy, and ensure seamless production deployment of models. Strong communication with executives is essential.

Qualifications

• 10+ years in data science or machine learning, with 3–5 years in a leadership/management role.
• Diverse domain experience across credit risk, collections, growth, fraud, or customer analytics.
• Strong technical skills across data analysis, feature engineering, model development and production deployment.
• Excellent communication and stakeholder management to influence senior leaders.
• Experience in the Indonesian market or Southeast Asian financial services is a plus.

Responsibilities

• Lead, mentor, and grow a team of 20+ data scientists across multiple domains and workstreams.
• Collaborate with the CDO to define strategic vision, priorities, and long-term roadmaps for data science.
• Champion best practices in model development, validation, and deployment.
• Translate model outputs into actionable recommendations for non-technical audiences and present updates to leadership.

Skills

Leadership

Data science lifecycle

Communication

Stakeholder management

Indonesian market experience

Job description

We are looking for an experienced and strategic Head of Data Science to lead our data science function for the Indonesia market, our largest and most mature market. This is a senior leadership role with broad scope, overseeing a team of 20+ data scientists working across multiple domains including credit risk, collections, and growth modeling.

You will work directly with the Chief Data Officer (CDO) to define and execute the strategic vision of the data science team, drive innovation across a diverse set of use cases, and ensure the team delivers meaningful business impact at scale. This role demands both strong leadership and the ability to stay hands-on when needed.

About the Job:

• Lead, mentor, and grow a team of 20+ data scientists across multiple domains and workstreams.
• Work directly with the CDO to define the strategic vision, priorities, and long-term roadmap of the data science function.
• Build a high-performance team culture with strong best practices in model development, validation, and deployment.
• Manage hiring, onboarding, and career development of data science talent, and play a key role in shaping the team structure as it continues to grow.

Model Development Across Domains

• Oversee the development and deployment of models across a diverse range of domains including credit risk, collections, fraud detection, customer growth, segmentation, and propensity modeling.
• Remain hands-on and lead by example, actively contributing to data analysis, model building, and technical problem solving alongside the team.
• Collaborate with ML engineering teams to integrate models into operational systems and data pipelines.
• Champion data-driven decision making across all business functions in the Indonesia market.

Stakeholder Communication & Collaboration

• Serve as the primary data science leader and point of contact for a wide range of stakeholders across risk, collections, product, operations, and growth functions.
• Translate complex model outputs and data science insights into clear, actionable recommendations for non-technical audiences.
• Regularly present strategic updates, model performance, and key insights to senior leadership and the CDO.
• Work closely with cross-functional teams to ensure models are aligned with real business needs and priorities.

About You:

• Minimum 10 years of experience in data science or machine learning, with at least 3-5 years in a team leadership or management role, preferably leading large teams.
• Diverse domain experience across multiple areas such as credit risk, collections, growth, fraud, or customer analytics, breadth of experience is valued as much as depth.
• Strong technical skills across the full data science lifecycle, from data analysis and feature engineering to model development and production deployment.
• Excellent communication and stakeholder management skills, with the ability to engage and influence senior business leaders.
• Experience in the Indonesian market or Southeast Asian financial services industry is a plus.

Why Join Us

• Lead one of the largest and most impactful data science teams in the region, with 20+ data scientists across diverse domains.
• Work directly with the CDO to shape the strategic direction of the data science function.
• Have real ownership over how the team is built, how models are developed, and how data science influences business decisions at scale.
• Work with a passionate, cross-functional team that values data-driven thinking and experimentation.

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