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We are seeking a Data Scientist to design and develop analytical models and insight packs that transform complex, high‑volume data into actionable intelligence. Based in Pune, this role supports local markets, partner markets, and corporate accounts by applying descriptive and predictive analytics across diverse data environments. The role combines strong technical capability with close collaboration with commercial stakeholders to influence data‑driven decision‑making.
Job Responsibility:
Design, build, test, and deliver analytical models using new and existing datasets to support defined business use cases
Perform data preparation, cleansing, and optimisation across SQL and No‑SQL data stores
Develop descriptive, predictive, and other analytical models for specific segments such as markets, products, or services
Contribute effectively to business decision‑making by translating analytical outcomes into clear, actionable recommendations
Work closely with commercial and business teams to present insights and recommended actions derived from models
Support product management by identifying and defining customer‑facing analytics use cases for the product roadmap
Contribute to defining and improving analytics lifecycle processes to enable fast and cost‑effective development
Participate in business analysis activities and document specifications for business information requests
Requirements:
Experienced in advanced analytics techniques, including descriptive and predictive modelling
Comfortable working with complex, high‑volume, high‑dimensional datasets, preferably using Hadoop or Spark
Proficient in SQL and experienced with databases such as Teradata, Oracle, or MySQL
Strong knowledge of machine learning techniques and their application in real‑world scenarios
Hands‑on experience with statistical and analytical tools such as Python, R, SAS, MATLAB, or SPSS
Educated to degree level in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, or a related field, with 3–5+ years of relevant experience
Experienced in working within international and distributed teams
Demonstrates strong analytical, troubleshooting, and system analysis skills
Communicates complex ideas clearly in plain language, both verbally and in writing, with full professional fluency in English
Brings a flexible, proactive, and improvement‑focused mindset, with the ability to innovate and work within agile development environments
Comfortable facilitating validation sessions or workshops with stakeholders and coordinating across departments
Demonstrates high attention to detail, accuracy, and a strong understanding of business requirements
Familiar with cognitive technologies and has awareness of ITIL practices
What we offer:
Exposure to complex, real‑world analytics challenges across multiple international markets
Opportunities to influence business decisions through data‑driven insights
Collaboration with diverse, cross‑functional, and global teams
A role that supports continuous learning, innovation, and process improvement within analytics and data science