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 strong 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.

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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.

Required Qualifications

- Bachelor's/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 5-7+ years of hands-on experience in Data Science, Machine Learning, or AI.
- Strong programming skills in Python and experience with common data science and ML libraries.
- Hands-on experience developing and deploying machine learning models.
- Practical experience with AWS cloud services, particularly AWS data and AI/ML services.
- Experience with Amazon SageMaker and/or Amazon Bedrock is strongly preferred.
- Good understanding of supervised and unsupervised learning, statistical modelling, feature engineering, and model evaluation.
- Experience working with SQL and large datasets.
- Exposure to Generative AI, LLMs, RAG, prompt engineering, and vector databases.
- Understanding of MLOps, model deployment, monitoring, and CI/CD concepts.
- Robust analytical, problem-solving, and communication skills.
- Experience working in client-facing or consulting environments is preferred

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