Senior Data Scientist - TPL Insurance

Grade: M
Location: Karachi
Company: TPL Insurance
Data that Drives Decisions — Delivering insights that shape pricing and portfolio performance.
At TPL Insurance, data science drives smarter decisions and better customer outcomes. As a Senior Data Scientist, you will design and deploy advanced analytics, machine learning, and optimization solutions to support insurance pricing, risk assessment, underwriting, and portfolio performance.
This role translates policy, premium, claims, and customer data into actionable insights that enhance commercial outcomes and customer experience. As a hands‑on contributor, you will collaborate with business owners, insurer partners, underwriting, product teams, and external stakeholders to take solutions from definition through deployment and monitoring.
Requirements
What you’ll own
Develop insurance models using statistical methods, GLMs, and machine learning for pricing, risk segmentation, and claims.
Analyse portfolio performance (premiums, exposures, claims, loss ratios, customer segments) to identify risks and recommend actions.
Own data preparation and quality by sourcing, reconciling, and documenting datasets with clear definitions and controls.
Validate models rigorously, preventing data leakage, testing across time periods, and explaining assumptions and limitations.
Deliver models into production with reproducible pipelines, version control, deployment, and performance monitoring.
Support product and distribution decisions by evaluating conversion, renewals, and retention, balancing growth with portfolio health.
Apply Responsible AI practices, ensuring explainability, fairness, privacy, and compliance with review processes.
Communicate insights effectively to technical and business audiences, mentor junior colleagues, and build organizational capability.
What success looks like
Insurance models deliver accurate, reliable, and actionable insights for pricing and risk management.
Portfolio performance is continuously monitored, with proactive recommendations driving commercial outcomes.
Data pipelines and models are reproducible, well‑documented, and rigorously validated.
Responsible AI practices ensure fairness, transparency, and compliance across deployments.
Business stakeholders receive clear, actionable recommendations that improve decision‑making and customer outcomes.
Junior team members grow through mentorship and technical guidance, strengthening overall data science capability.
You may be a strong fit if you
Bring 5–7 years of experience in Data Science, Advanced Analytics, Statistical Modelling, or Machine Learning, ideally with insurance analytics exposure.
Hold a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Economics, or related quantitative field.
Are proficient in Python or R and SQL, with expertise in statistical modelling, GLMs, predictive/prescriptive analytics, and machine learning.
Understand insurance data (policy, premium, exposure, claims) and can translate portfolio insights into business recommendations.
Have experience developing, validating, and deploying analytical models with reproducible coding and performance monitoring.
Communicate complex insights clearly, collaborate across actuarial, underwriting, product, engineering, and business teams, and deliver solutions that drive measurable impact.
Benefits
Why TPL Insurance?
TPL Insurance is an AA-rated insurer and one of Pakistan’s leading InsurTech companies, combining digital innovation with a strong retail, dealership, B2B and B2B2C network to make insurance simpler and more accessible. With a diverse portfolio spanning Motor, Health, Property, Travel, Marine and other general insurance solutions, TPL Insurance continues to challenge traditional insurance through customer-centric products, technology and strategic partnerships.
Our inclusion in JazzWorld gives our teams the opportunity to build innovative insurance solutions that reach millions of customers at scale. At TPL Insurance, we foster an agile, collaborative and growth-oriented culture where people are encouraged to take ownership, bring new ideas to the table and create meaningful impact.
Apply by: 14th October, 2026

Work arrangement
No