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Data Scientist Job in Pune at Convera | SQL, Python & Quantitative Analytics Role

Data Scientist Job in Pune at Convera | SQL, Python & Quantitative Analytics Role

Data Scientist

Pune
Full-Time
Posted February 21, 2026
Salary
10-15 LPA
Batches
Experienced
Applicants
High Demand

About The Role

Convera is a global product-based financial technology company specializing in international payments and cross-border money movement solutions. The company supports businesses with secure, scalable, and data-driven financial platforms that simplify global transactions. With a strong presence across multiple markets, Convera leverages advanced analytics, automation, and data science to improve financial operations and strategic decision-making. The organization focuses on innovation, customer-centric insights, and technology-driven solutions to optimize performance across products and services. This Data Scientist role in Pune offers an opportunity to work on complex datasets, influence product strategy, and drive meaningful business impact using analytical expertise.

Responsibilities

Analyze large and complex datasets to solve business challenges using statistical and analytical techniques.
Apply quantitative analysis, experimentation, and data mining to develop strategic insights.
Define and track key product and business metrics to measure performance and growth.
Forecast trends and evaluate the effectiveness of business initiatives.
Identify opportunities for optimization and provide actionable, data-driven recommendations.
Partner with Product, Engineering, and cross-functional teams to support decision-making.
Design experiments, define success metrics, and interpret results clearly.
Present insights through reports, dashboards, and visual storytelling.
Lead data-driven initiatives from problem definition to execution and outcome analysis.

Requirements

  • Bachelor’s degree in Mathematics, Statistics, or a related technical field.
  • 2+ years of experience in analytics and data querying using SQL.
  • Proficiency in scripting languages such as Python or R.
  • Strong background in quantitative problem-solving and statistical analysis.
  • Experience defining metrics, designing experiments, and communicating insights.
  • Ability to understand business ecosystems, user behavior, and long-term trends.
  • Strong analytical thinking and structured problem-solving skills.
  • Good communication skills for cross-functional collaboration.

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Closes internally when filled