S&C Global Network - AI - Public Services- Analyst

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.  .  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.  Strong analytical, problem-solving, and communication skills.  Experience working in client-facing or consulting environments is preferred Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. 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