Intuit Senior Data Scientist 

Kenya, Nairobi County, Nairobi 

519772032

As a Senior Data Scientist on the Lending Data Science team, you will play a pivotal role in shaping strategy through deep analytical insights. This includes:

• Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
• Driving strategic insights to shape the future of Intuit’s Lending Marketplace and positively impact millions of small and medium sized businesses
• Developing predictive models, conducting experiments beyond A/B testing, and uncovering customer insights to drive product, marketing, and lending innovations.
• Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience.
• Collaborating closely with cross-functional partners in Product Management, Marketing, Credit Underwriting, Engineering, Design, and Analytics to inform and guide product strategy.
• Translating complex data into clear, actionable insights for both technical and non-technical stakeholders

We’re looking for a curious, proactive data scientist with a passion for fintech.

• BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.
• 4+ years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces.
• Strong expertise in predictive modeling, customer segmentation, and experimentation design.
• Proven ability to form hypotheses based on customer behavior, industry trends, and market conditions.
• Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing.
• Experience in building scalable, reusable analytics tools and avoiding redundant efforts.
• Excellent communication and stakeholder influence skills across business and technical teams.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Technical Skills:

• Advanced SQL proficiency and hands-on experience with visualization tools such as Qlik, Tableau, or Plotly Dash.
• Strong analytical and modeling skills using Python (with libraries such as numpy, pandas, scikit-learn, etc.).
• Experience applying statistical and machine learning techniques to solve go-to-market and marketing problems (e.g., feature adoption propensity, churn risk scoring, next best action models).

Preferred Additional Qualifications

• Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs. Understanding of lending product nuances and marketplace dynamics.
• Familiarity with Generative AI and other emerging technologies to accelerate insights from multimodal data sources.