🚀 Hiring: Data Scientist | Pune | Work From Office

We are looking for an experienced Data Scientist to join a leading global organization driving large-scale digital transformation initiatives.

📍 Location: Pune

🏢 Work Mode: Work From Office (WFO)

👨 💻 Role: Individual Contributor (IC)

💼 Experience: 12–15 Years

Job Summary

The Digital & Data team is leading an internal effort to digitally transform and revolutionize every aspect of the company. Our goal is to accelerate the company’s technology and data capabilities, propelling the company into the next century of digital innovation and success.

We are seeking a Senior Data Scientist who will partner with digital product teams and business stakeholders to design, build, and deliver durable, differentiating analytical and AI models using the company’s data as the catalyst. This role focuses on production-ready models that drive measurable business outcomes across operations, safety, project delivery, finance, and other enterprise domains.

Key Responsibilities

Conduct exploratory data analysis (EDA) to uncover patterns, correlations, and insights within large and complex datasets.
Design and develop advanced predictive, prescriptive, and optimization models to address complex business problems.
Lead initiatives in machine learning, artificial intelligence, and advanced analytics.
Develop, validate, and productionize statistical and machine learning models that support enterprise decision-making.
Partner with digital product teams to embed models into applications, workflows, and decision platforms.

Qualifications

Minimum Qualifications

Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field; Master’s degree preferred.
12-15 years of progressive experience in data science, advanced analytics, or applied machine learning.
Demonstrated experience owning end-to-end model development from problem framing through deployment.
Strong experience with cloud-based data and AI platforms (e.g., Microsoft Azure).
Advanced proficiency in Python (or R) and strong experience with Pandas, NumPy, SQL, and machine learning libraries.
Deep understanding of statistical methods and machine learning techniques.
Proven ability to partner with business and digital teams to translate ambiguous problems into analytical solutions.

Preferred Qualifications

Experience operationalizing models using MLOps / ModelOps practices, including CI/CD, monitoring, and retraining strategies.
Experience working within digital product teams or product operating models.
Experience with Azure AI Foundry or comparable enterprise AI platforms (e.g., Databricks ML, SageMaker, Vertex AI).
Familiarity with data and model governance, including lineage, reproducibility, and responsible AI practices.
Experience mentoring junior data scientists or serving as a technical lead.
Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders.
Demonstrated delivery of durable, reusable analytical and AI assets.

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