Posted Sep 25, 2026 17 views
Grade: M
Location: Karachi
Company: TPL Insurance
At TPL Insurance, data science plays a pivotal role in driving smarter decisions and delivering better outcomes for customers. As a Senior Data Scientist, you will be responsible for designing and implementing advanced analytics, machine learning, and optimization solutions that support insurance pricing, risk assessment, underwriting, and portfolio performance. This hands-on role involves transforming policy, premium, claims, and customer data into actionable insights that improve both commercial results and customer experience. You will work closely with business owners, insurer partners, underwriting, product teams, and external stakeholders to take solutions from concept through deployment and ongoing monitoring.
Key Responsibilities
- Develop insurance models using statistical methods, Generalized Linear Models (GLMs), and machine learning techniques for pricing, risk segmentation, and claims analysis.
- Analyze portfolio performance metrics such as premiums, exposures, claims, loss ratios, and customer segments to identify risks and recommend strategic actions.
- Manage data preparation and quality by sourcing, reconciling, and documenting datasets with clear definitions and controls.
- Rigorously validate models to prevent data leakage, test across different time periods, and clearly explain assumptions and limitations.
- Deliver models into production environments with reproducible pipelines, version control, deployment processes, and ongoing performance monitoring.
- Support product and distribution decisions by evaluating conversion rates, renewals, and retention, balancing growth objectives with portfolio health.
- Apply Responsible AI principles to ensure explainability, fairness, privacy, and compliance throughout model development and deployment.
- Communicate insights effectively to both technical and business audiences, mentor junior team members, and contribute to building organizational data science capabilities.
Required Qualifications
- 5 to 7 years of experience in Data Science, Advanced Analytics, Statistical Modeling, or Machine Learning, preferably with exposure to insurance analytics.
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Economics, or a related quantitative discipline.
- Proficiency in Python or R and SQL, with strong expertise in statistical modeling, GLMs, predictive and prescriptive analytics, and machine learning algorithms.
- Solid understanding of insurance data including policy, premium, exposure, and claims, with the ability to translate portfolio insights into actionable business recommendations.
- Experience in developing, validating, and deploying analytical models using reproducible coding practices and performance monitoring frameworks.
- Strong communication skills to clearly convey complex insights and collaborate effectively across actuarial, underwriting, product, engineering, and business teams.
Preferred Qualifications and Benefits
TPL Insurance is an AA-rated insurer and one of Pakistan’s leading InsurTech companies, combining digital innovation with a robust retail, dealership, B2B, and B2B2C network to simplify and expand access to insurance. The company offers a diverse portfolio including Motor, Health, Property, Travel, Marine, and other general insurance products. TPL Insurance is committed to challenging traditional insurance models through customer-centric products, technology, and strategic partnerships.
Being part of JazzWorld, TPL Insurance provides opportunities to develop innovative insurance solutions that reach millions of customers at scale. The company fosters an agile, collaborative, and growth-oriented culture where employees are encouraged to take ownership, contribute new ideas, and create meaningful impact.
Applications are welcomed until 14th October 2026.
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