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2 days ago

Senior Data Scientist - TPL Insurance

JazzWorld · Karachi, Sindh, Pakistan
WorkableApply on company site
Full Time
Onsite
Senior

Role overview

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

Responsibilities

1Location: Karachi
2Company: TPL Insurance
3Data that Drives Decisions — Delivering insights that shape pricing and portfolio performance.
4Requirements
5What you’ll own
6Develop insurance models using statistical methods, GLMs, and machine learning for pricing, risk segmentation, and claims.
7Analyse portfolio performance (premiums, exposures, claims, loss ratios, customer segments) to identify risks and recommend actions.
8Own data preparation and quality by sourcing, reconciling, and documenting datasets with clear definitions and controls.

Requirements

1Develop insurance models using statistical methods, GLMs, and machine learning for pricing, risk segmentation, and claims.
2Analyse portfolio performance (premiums, exposures, claims, loss ratios, customer segments) to identify risks and recommend actions.
3Own data preparation and quality by sourcing, reconciling, and documenting datasets with clear definitions and controls.
4Validate models rigorously, preventing data leakage, testing across time periods, and explaining assumptions and limitations.
5Deliver models into production with reproducible pipelines, version control, deployment, and performance monitoring.
6Support product and distribution decisions by evaluating conversion, renewals, and retention, balancing growth with portfolio health.
7Apply Responsible AI practices, ensuring explainability, fairness, privacy, and compliance with review processes.
8Communicate insights effectively to technical and business audiences, mentor junior colleagues, and build organizational capability.
9Insurance models deliver accurate, reliable, and actionable insights for pricing and risk management.
10Portfolio performance is continuously monitored, with proactive recommendations driving commercial outcomes.
11Data pipelines and models are reproducible, well‑documented, and rigorously validated.
12Responsible AI practices ensure fairness, transparency, and compliance across deployments.
13Business stakeholders receive clear, actionable recommendations that improve decision‑making and customer outcomes.
14Junior team members grow through mentorship and technical guidance, strengthening overall data science capability.

Benefits

1Why TPL Insurance?
2Apply by: 14th October, 2026
3Company: TPL Insurance
4Develop insurance models using statistical methods, GLMs, and machine learning for pricing, risk segmentation, and claims.

Skills and tags

PKPythonSQLMachine LearningData AnalysisCustomer ServiceProcurementCompliance

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