Data Science Engineer Deals Hiring

You will be part of PwC's Acceleration Center in Bangalore, which is focused on supporting Consulting Solutions platforms including Deals, Transformation, Cloud and Digital, Cybersecurity, Risk and Regulatory, and Tax Consulting. At PwC, you'll collaborate with a network of people to achieve your career goals in an environment that values diversity and inclusion. Globally recognized as the 3rd most attractive employer, PwC offers global leadership development opportunities, digital technologies for learning, and a high-performance culture centered around caring for our people.

• *Key Responsibilities:**
• Study and transform data science prototypes.
• Quickly formulate and deliver data analysis and AI-related functional solutions with LLM, embedding models, machine learning/deep learning methods, etc., based on project requirements.
• Support developing applications or workflows with Cloud services.
• Collect and process structured and unstructured data for various purposes (e.g., building reports, data analytics, training/testing supervised learning models, etc.).
• Perform statistical analysis of results and refine models.
• Remain updated in the rapidly changing field of AI (e.g., LLM, machine learning) and identify suitable AI integration opportunities.
• Develop processes and tools to monitor and analyze model performance and data quality.
• *Qualifications Required:**
• Bachelors degree in computer science, mathematics, statistics, computational linguistics, or related majors.
• 1 years work experience in popular large language models (e.g. GPT, Llama, Gemini), generative AI technology, and prompt engineering.
• 1 years work experience in text embeddings, vector search, statistics, and classification algorithms.
• Experience using at least one of the following cloud platforms: Azure, AWS, GCP.
• Advanced Knowledge of Python and SQL.
• Ability to cleanse, transform, and augment datasets.
• Experience with machine learning/deep learning frameworks and libraries.
• Experience in using statistical computer languages (Python, SQL, R, etc.) to process and analyze data and draw insights from large data sets.
• Demonstrate creative thinking and continuous learning.
• Excellent written and verbal communication skills in English.

This role offers the opportunity to work with a team focused on leveraging technology and data to drive better deal decisions and execute transactions more effectively. If you have a passion for building technology-driven solutions and pushing the boundaries of innovation in Deals, this could be the perfect fit for you. You will be part of PwC's Acceleration Center in Bangalore, which is focused on supporting Consulting Solutions platforms including Deals, Transformation, Cloud and Digital, Cybersecurity, Risk and Regulatory, and Tax Consulting. At PwC, you'll collaborate with a network of people to achieve your career goals in an environment that values diversity and inclusion. Globally recognized as the 3rd most attractive employer, PwC offers global leadership development opportunities, digital technologies for learning, and a high-performance culture centered around caring for our people.

• *Key Responsibilities:**
• Study and transform data science prototypes.
• Quickly formulate and deliver data analysis and AI-related functional solutions with LLM, embedding models, machine learning/deep learning methods, etc., based on project requirements.
• Support developing applications or workflows with Cloud services.
• Collect and process structured and unstructured data for various purposes (e.g., building reports, data analytics, training/testing supervised learning models, etc.).
• Perform statistical analysis of results and refine models.
• Remain updated in the rapidly changing field of AI (e.g., LLM, machine learning) and identify suitable AI integration opportunities.
• Develop processes and tools to monitor and analyze model performance and data quality.
• *Qualifications Required:**
• Bachelors degree in computer science, mathematics, statistics, computational linguistics, or related majors.
• 1 years work experience in popular large language models (e.g. GPT, Llama, Gemini), generative AI technology, and prompt engineering.
• 1 years work experience in text embeddings, vector search, statistics, and classification algorithms.
• Experience using at least one of the following cloud platforms: Azure, AWS, GCP.
• Advanced Knowledge of Python and SQL.
• Ability to cleanse, transform, and augment datasets.
• Experience with machine learning/deep learning frameworks and libraries.
• Experience in using statistical computer languages (Python, SQL, R, etc.) to process and analyze data and draw insights from large data sets.
• Demonstrate creative thinking and continuous learning.
• Excellent written and verbal communication skills in English.

This role offers the opportunity to work with a team focused on leveraging technology and data to drive better deal decisions and execute