Senior Executive - Data Scientist

Join Tata AIA Life Insurance, a leading and fastest-growing life insurance provider in India, established in 2001 as a joint venture between Tata Sons Pvt. Ltd. and AIA Group Ltd. Our company embodies a legacy of trust, integrity, and excellence, combining Tatas esteemed leadership with AIAs extensive pan-Asian expertise. At Tata AIA, our vision is to be the pre-eminent protection provider enabling dreams and inspiring healthier, happier lives. We foster a culture of innovation, inclusivity, and continuous learning, offering dynamic career growth opportunities and a supportive work environment. Recognized as a Great Place to Work and recipient of the Kincentric Best Employer Award, we are committed to employee satisfaction and holistic well-being. Our core value, People - Our Core, emphasizes our dedication to inspiring our employees to be and deliver their very best. Our aim is to attract, hire and develop highly capable leaders who are just, fair, ethical, and accountable for their actions. We strive to provide our employees with the right training, technology, equipment, resources, and guidance to perform their job effectively. Our promise to you is to provide for a diverse, equitable, and inclusive work environment, where each employee is valued as an individual and treated with respect, care, and compassion. Fuel your future with us, find your wings, and S. O. A. R. Shape opportunities, Optimize your potential, Accomplish meaningful work, and Reap holistic growth. Position Overview Position Title Senior Executive Data Scientist Department Finance and Accounts Level/ Band Role Summary : We are looking for an Azure Data Engineer skilled in Azure Databricks, PySpark, PySQL, Azure Cloud services, and ADF to design, build, and optimize data pipelines and solutions that support business intelligence and analytics.

1. Organizational Relationships

Reports To

AVP Financial Analytics and Transformation

Supervises

N/A

Job Dimensions

Geographic Area Covered

N/A

Stakeholders Internal

IFRS 17 Team

Stakeholders External

Financial Planning and Analysis, Finance - TechOps Key Result Areas Ensure Timely, Logical Development with Accuracy Data collection : Gather, clean, and preprocess structured and unstructured datasets. Exploratory analysis : Identify trends, correlations, and anomalies using statistical methods. Collaboration : Work with product, and business teams to translate insights into actionable strategies. Visualization : Create dashboards and reports to communicate findings effectively. Optimize data pipelines for performance, reliability and efficiency. Collaborate with data architects, analysts, and business teams to deliver high-quality solutions. Ensure compliance with data governance, security, and privacy standards.

Troubleshoot and resolve issues in data pipelines and cloud environments. Skills Required Technical Hands-on experience with Pandas, Numpy, Polar, Matplotlib and Seaborn Strong knowledge of SQL, Python, and PySpark for data processing. Experience in data warehousing . Familiarity with Azure storage solutions (Data Lake, Blob Storage, Synapse) . Good problem-solving and debugging skills. Strong communication and teamwork abilities. Behavioral Essential Desired

Interpersonal skills

Communication skills

Creative thinking skills

Supervising / Leadership skills

Teamwork Skills

Influencing skills

Relationship Building skills

Decision making skills

Language Skills English, Hindi Local language Incumbent Characteristics Essential Desired Qualification BE Knowledge of Python and basic libraries Exposure to Azure. Knowledge of data modeling, code optimization and debugging. Experience 1-3 years of experience in data analyst / scientist roles. Disclaimer :