Job Description

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.

Additional Information:

The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients 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