Job Title: Data Scientist – Data &

- AI

Department: Public Service Data &

- AI – Growth Network

Location: Mumbai, Bangalore, Gurgaon

Reporting To: Manager/Senior Manager – Data &

- AI

Level: Consultant

Experience: 5-7 years

Job Summary

We are seeking an experienced Data Scientist with solid hands-on experience in Machine Learning, Generative AI, and AWS services. The ideal candidate should be able to translate business problems into data science solutions, develop and deploy AI/ML models, and work with AWS-based data and AI services.

The role requires a combination of strong data science fundamentals, hands-on technical capabilities, and client-facing skills, with the ability to work closely with business stakeholders, data engineers, architects, and AI teams.

Key Responsibilities

Data Science &

- AI/ML Development

- Analyze large and complex datasets to identify patterns, insights, and business opportunities.

- Design, develop, test, and optimize machine learning and statistical models.

- Build solutions across areas such as classification, prediction, forecasting, anomaly detection, NLP, and Generative AI.

- Perform data exploration, feature engineering, model selection, validation, and performance evaluation.

- Develop POCs and MVPs to demonstrate the feasibility and business value of AI/ML solutions.

- Support deployment, monitoring, and continuous improvement of models in production environments.

AWS Data &

- AI Solutions

- Design and develop data science and AI solutions using AWS services.

- Work with services such as Amazon SageMaker, Bedrock, S3, Lambda, Glue, Athena, Redshift, Step Functions, and related AWS AI/ML services.





- Build and integrate scalable ML and GenAI workflows on AWS.

- Work with data engineering and cloud teams to integrate models with enterprise data platforms and applications.

- Apply AWS best practices for security, scalability, performance, and cost optimization.

Generative AI

- Develop GenAI solutions using LLMs, RAG, embeddings, vector databases, and prompt engineering.

- Build and evaluate AI assistants, agents, and knowledge-based applications.

- Work with foundation models through Amazon Bedrock or similar platforms.

- Evaluate GenAI solutions for accuracy, reliability, performance, and responsible AI considerations.

Client Engagement &

- Solutioning

- Work directly with client stakeholders to understand business problems and translate them into data science use cases.

- Conduct requirements discussions, workshops, technical sessions, and solution demonstrations.

- Clearly communicate analytical findings and model outputs to both technical and non-technical stakeholders.

- Contribute to solution architecture, estimation, proposals, and technical presentations.

- Collaborate with cross-functional teams including data engineers, cloud architects, analysts, and application teams.

Preferred Skills

- AWS certifications related to Machine Learning, Data, or Cloud.

- Experience building production-grade AI/ML solutions on AWS.

- Experience with NLP, document intelligence, predictive analytics, or fraud/anomaly detection use cases.

- Familiarity with responsible AI, model governance, and data privacy principles.

- Experience in Public Service or Government projects would be an advantage.

📌 S&C Global Network - AI - Public Services- Analyst (Bengaluru)
🏢 Accenture in India
📍 Bengaluru