Job Title: Data Science Analyst

Location: Bangalore (preferred), Gurgaon. 

Experience Level: 2+ Years

About the Role

We are seeking a highly skilled and motivated Data Science Analyst 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, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities

2. Generative AI Expertise

• Develop and fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
• Design and implement evaluation strategies to optimize model performance (e.g., BLEU, ROUGE, FID).
• Architect deployment solutions, including API development and seamless integration with existing systems.

3. Cloud Platform Expertise

• Design and implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
• Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

4. Data Science and Engineering

• Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
• Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
• Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.

Required Qualifications

• Experience: 2+ years in data science
• Education: Master's Degree in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field).
• Industry Knowledge: Preferred 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, and deployment architecture (design, API/integration design)
• Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
• Data Science Tools: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).

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.
• Good communication and stakeholder management capabilities.

About Accenture

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