Data Scientist-Audit Innovation and Digital Transformation

Role & responsibilities

Technical:

• Develop end-to-end Data science, Machine Learning (ML), Deep Learning (DL) and Gen AI, Agentic AI solutions.
• Lead the development and deployment of AI solutions, ML models and Gen AI solutions.
• Hands-on involvement in designing models, using AI solutions for code generation using tools such as Google CLI/Claude Desktop, reviewing code and troubleshooting issues in AI, ML, DL, Gen AI solutions.
• Drive adoption of Gen AI, Agentic AI solutions.
• Establish best practices for ML model development, testing, deployment and production monitoring. Experience with ML Ops will be preferred.
• Ensure scalable, robust, and maintainable data engineering pipelines and solutions
• Ensure designed AI solutions integrate seamlessly with existing Cloud Infrastructure, enterprise systems and platforms.

Leadership & Stakeholder Management:

• Contribute to data-driven decision making across the unit and drive adoption of AI systems.
• Contribute to deliver excellent presentations to communicate strategy, project status and results, influencing key decision-makers.
• Provide technical mentorship and guidance to team on AI solutions
• Foster a collaborative, innovative team culture focused on continuous learning

Preferred candidate profile

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Certifications in areas such as Data Engineering, Cloud Skills, AI/ML, Gen AI, Agentic AI will be an added advantage.

• 4-8 years of progressive experience in software development and extending into Data Science, AI ML, DL, Gen AI, Agentic AI technologies.
• Minimum 2 years of hands-on experience in Data Science, ML, DL, Gen AI. (LLMs, RAG, Fine-tuning)
• Experience with cloud services on platforms like (AWS, GCP or Azure)
• Strong skills in designing & implementing DS, AI ML, ML Ops and Gen AI solutions using python, R, Scala, Spark.
• Strong foundation in Database systems, data modelling and data architecture (SQL, NoSQL, vector databases)
• Exposure to SAS VIYA analytics platform will be preferred
• Excellent written, verbal communication skills and excellent inter-personal and presentation skills.
• Excellent time management, escalation management and prioritization skills.
• Excellent problem-solving and critical thinking skills.