Data Scientist Associate – Senior

 📍 Hyderabad, Telangana, India

💼 Full-Time | Predictive Science | Consumer & Community Banking
🆔 Job ID: 210669309

Job Overview

Join a global financial services leader and help shape the future of data-driven decision-making. As a Data Scientist Associate – Senior, you will work on next-generation data strategy initiatives, modernizing data delivery, and driving innovation through cloud and advanced analytics. This is a high-impact role for someone passionate about transforming raw data into actionable intelligence.

Job Summary

In this role, you’ll collaborate with internal teams and external data partners to deliver high-quality, cloud-enabled data solutions. You’ll also contribute to the modernization of external data pipelines, metadata refinement, and AI-driven data discovery to support strategic business goals.

Key Responsibilities

• Manage and deliver external data publishing requests, ensuring quality, accuracy, and usability.

• Partner with engineering teams to enhance and modernize cloud-based data delivery for analytics and modeling.

• Act as the technical bridge between product, data, and engineering stakeholders.

• Design and maintain processes for metadata extraction and integration into discovery tools.

• Communicate project updates, timelines, and outcomes to stakeholders.

• Contribute to the development of large language model (LLM)–based metadata discovery solutions.

Required Skills & Qualifications

• Bachelor’s degree with 3+ years of experience in Data & Analytics or related fields.

• Proven background in financial services, technology, or data-driven environments.

• Strong analytical, problem-solving, and stakeholder communication skills.

• Experience managing multiple data projects in a collaborative setting.

• Attention to detail and commitment to maintaining high data quality standards.

Preferred Skills

• Hands-on experience with Apache Spark, Python, or Java.

• Familiarity with data pipelines, metadata management, and external data sourcing.

• Knowledge of cloud platforms such as AWS, Azure, GCP, or Snowflake.

• Exposure to Generative AI and its use cases in data analytics or financial services.

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