Data Science Consultant

Job Title -   Decision Science Practitioner Consultant S&C GN

Management Level: Consultant

Location: Bangalore/ Kolkata/Gurugram/Hyderabad

Must have skills: Generative AI

Good to have skills: Data Science

Experience: 6+ years in data science/Gen AI

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

Job Summary:

We are seeking a highly skilled and motivated Data Science Consultant/Team Lead 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 Team Leadership

• Lead cross-functional teams to deliver data science solutions, ensuring technical excellence and client satisfaction.
• Independently manage end-to-end client engagements, including scoping, planning, delivery, and stakeholder communication.
• Mentor junior team members and foster a collaborative, high-performance culture.

Generative AI Expertise

• Design and deploy GenAI solutions (NLP, CV, multimodal) using advanced frameworks.
• Architect agentic AI workflows with LangChain, LlamaIndex, AutoGen, and enterprise integrations.
• Optimize AI agents and RAG pipelines (Pinecone, Weaviate, FAISS, Milvus) for accuracy and scalability.
• Advise clients on GenAI adoption, aligning solutions with business objectives and tech ecosystems.

Cloud Platform Expertise

• Design and deliver cloud-native AI/ML platforms on Azure, AWS, or GCP, ensuring scalability, security, and cost optimization across client environments.
• Advise on MLOps best practices – from model training and deployment to monitoring and governance – leveraging platforms such as SageMaker, Azure Machine Learning, and Vertex AI.
• Integrate AI solutions with enterprise data ecosystems, including data lakes, warehouses, and real-time pipelines.

Data Science and Engineering

• Develop and scale advanced ML solutions (predictive modeling, recommendation engines, optimization algorithms) that directly impact business outcomes.
• Lead the design of robust data architecture and feature engineering pipelines, supporting GenAI and ML applications across structured, unstructured, and multimodal datasets.

Business Impact and Innovation

• Translate business challenges into actionable data science solutions with measurable outcomes.
• Collaborate with business stakeholders to design data-driven strategies and identify opportunities for innovation.

Required Qualifications

• Experience: 6+ 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.