Data Science Engineer Deals Hiring - Bangalore

About PwC At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities, and for the world at large. It is no surprise therefore that 429 of the global Fortune 500 companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. PwC’s Acceleration Center in Bangalore is part of our Consulting Solutions business in the US. The team is focused on supporting each of our Consulting Solutions platforms including Deals, Transformation, Cloud and Digital, Cybersecurity, Risk and Regulatory, and Tax Consulting. PwCs high-performance culture is based on our passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your career goals. We will also provide you with global leadership development opportunities and the latest in digital technologies to learn and excel in your career. At the core of our firms philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching, and learning & development makes our firm one of the best places to work, learn and excel. About Team A career in Technology and Data Solutions practice, within Deals Transaction Services, provides the opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. You will have the opportunity to leverage technology and data to drive better Deal decisions and execute transactions more effectively, helping companies originate, create, execute, and realize value from deals. Our team consists of well-rounded creative professionals who have a passion and aptitude for building technology driven solutions and pushing the boundaries of innovation in Deals. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions.

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.
  
  

• Bachelor’s 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.
  
  

• Master’s degree in computer science, mathematics, statistics, computational linguistics, or related majors.
• 3+ years’ work experience in popular large language models (e.g. GPT, Llama, Gemini), generative AI technology, and prompt engineering.
• 3+ years’ work experience in text embeddings, vector search, statistics, and classification algorithms.
• Experience using Azure and either AWS or GCP.
• Experience with data visualization tools such as Power BI or Tableau.