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Accenture
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S&C Global Network - AI - Hi Tech - Data Science Consultant

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

Accenture

5 - 10 years

17 - 20 Lacs

bengaluru

Posted:5 days ago| Platform:

Apply

Skills Required

python natural language processing sql computer vision machine learning algorithms scikit-learn azure machine learning amazon redshift microsoft azure machine learning gen tensorflow data science stakeholder management gcp pytorch bigquery aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
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
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:Masters 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 Qualification
Experience:5+ years in data science/Gen AI

Educational Qualification:Masters degree in computer science, Statistics, Applied Mathematics, Engineering or related field

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