Data Scientist at Aditya Birla… · Bengaluru

Position Title - Data Scientist

Job Location - Bengaluru

Job Purpose

The role focuses on implementing data science solutions and best practices while managing their lifecycle within a business unit. It involves translating business needs into technical solutions, ensuring data quality, and optimizing analytical workflows to drive innovation and efficiency

Principal Accountabilities

Advanced Data Science & AI Implementation

• Develop and apply cutting-edge machine learning techniques such as ANN, XGBoost, and deep learning models to solve complex business problems.
• Ensure the use of state-of-the-art AI frameworks and methodologies to enhance model accuracy, efficiency, and scalability.
• Optimize AI models by fine-tuning hyperparameters, feature engineering, and advanced algorithm selection to maximize performance.

End-to-End Solution Development

• Oversee the full AI project lifecycle, from data preparation and model development to deployment and monitoring.
• Ensure smooth integration of AI solutions into production environments, collaborating with engineering teams for scalable deployments.
• Use project management tools like JIRA to track tasks, deadlines, and progress, ensuring structured execution of AI initiatives.
• Maintain a structured framework for model versioning, documentation, and reproducibility to ensure long-term sustainability.

Experimentation & Continuous Improvement

• Implement a systematic experimentation approach to identify gaps in current AI models and refine them iteratively.
• Conduct A/B testing, error analysis, and post-deployment monitoring to assess model effectiveness and business impact.
• Drive an innovation-first mindset, experimenting with new algorithms and methodologies to improve existing solutions.
• Establish a feedback loop between model performance and business outcomes, ensuring AI-driven insights remain relevant and impactful.

Technical Leadership & Best Practices

• Enforce best practices in coding, model documentation, and version control to enhance standardization across AI initiatives.
• Ensure teams stay updated with emerging AI/ML methodologies and provide structured guidance for integrating new techniques.

• Act as a mentor to junior data scientists, providing hands-on guidance while establishing technical excellence within the team.

Cross-Team Collaboration & Stakeholder Management

• Ensure seamless integration of AI solutions into business workflows.
• Lead discussions with stakeholders to align AI initiatives with operational priorities and measurable outcomes.
• Standardize communication channels to ensure clarity, accountability, and alignment across teams.

Scalable AI Solutions & Reusability

• Drive the standardization of AI solutions to enable their scalability and adaptability across multiple business functions.

• Develop reusable AI frameworks, ensuring consistency and reducing redundancy in data science efforts.

• Establish best practices for documenting and sharing AI learnings across teams, improving operational efficiency and knowledge transfer. Business KRA (as applicable) (Add Rows as needed)

Business KRA

Non-Monetary

• Data & AI driven improvement in KPIs relevant to a particular business or initiative such as quality, CX, stability, risk, efficiency

Decision making & augmentation

• Decisions replaced or augmented with the use of data & AI

• Decisions improved through the use of data & AI

AI Capability

• Drive, through examples, the data driven decision making culture

*********************Job will expire after 30th Sept 2026******************