S&C Global Network - AI - Hi Tech - Data Science Manager

Job Title - Decision Science Practitioner Manager S&C GN

Management Level: Manager

Location: Bangalore/ Kolkata/Gurugram/Hyderabad

Must have skills: Generative AI

Good to have skills: Data Science

Job Summary:

We are seeking a highly skilled and motivated Data Science Manager to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, team leadership, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities

Project and Practice Leadership

• Own large-scale AI/ML programs, ensuring technical excellence, client satisfaction, and measurable business impact.
• Lead client relationships – drive scoping, solution design, delivery, and executive stakeholder alignment.
• Grow and guide cross-functional teams, setting direction, coaching talent, and ensuring delivery quality.
• Contribute to practice growth through thought leadership, go-to-market development, and capability building.

Generative AI Expertise

• Define GenAI strategy and roadmaps for enterprise clients across NLP, CV, and multimodal use cases.
• Oversee architecture of agentic AI systems, orchestrating multi-step workflows with LangChain, LlamaIndex, AutoGen, and enterprise integrations.
• Establish governance and optimization frameworks for AI agents and RAG pipelines (Pinecone, Weaviate, FAISS, Milvus).
• Advise C-level stakeholders on responsible AI adoption, innovation opportunities, and transformation outcomes.

Cloud Platform Expertise

• Architect and scale cloud-native AI platforms on Azure, AWS, or GCP with focus on compliance, scalability, and cost efficiency.
• Standardize MLOps frameworks for lifecycle management, monitoring, and governance using SageMaker, Azure ML, or Vertex AI.
• Ensure seamless integration of AI solutions with enterprise data ecosystems (data lakes, warehouses, ERP/CRM, real-time pipelines).

Data Science and Engineering

• Drive high-impact AI/ML solutions (predictive analytics, recommendation engines, optimization models) with measurable ROI.
• Set standards for enterprise data and ML pipelines, enabling scalable and production-ready AI applications.
• Guide innovation and adoption of advanced analytics and multimodal data architectures.

Business Impact and Innovation

• Translate executive business priorities into AI-driven strategies with clear outcomes.
• Shape transformation programs by identifying high-value GenAI/agentic AI opportunities.
• Represent the firm as a thought leader in Data & AI through client advisory, assets, and industry contributions.

Required Qualifications

• Experience: 10+ years in data science, including team leadership and independent client delivery.
• Education: Master’s Degree in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field).
• Industry Knowledge: Experience in Consumer Tech, Enterprise Tech, or Semiconductors.

Technical Skills

• Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
• GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
• Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
• Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• GenAI & LLM Tooling : LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
• Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills

• Experience in decision science projects focused on marketing, supply chain, or sales.
• Strong analytical and problem-solving skills with a results-oriented mindset.
• Excellent communication and stakeholder management capabilities.

• This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.

About Our Company | Accenture

Experience: 10+ years in data science/Gen AI

Educational Qualification: Master’s degree in Computer science, Statistics, Applied Mathematics, Engineering or related field