Data Scientist - Senior Associate

SwiftCruit; Bengaluru; On-site; INR 1,800,000 - 2,700,000; Full time

Job summary

PwC is seeking a GenAI-focused data engineer to design and build data infrastructure enabling efficient data processing and analysis. You will develop data pipelines, integration, and transformation solutions while collaborating with cross‑functional teams on GenAI projects.

The role emphasizes building production‑ready ML applications, utilizing Python/R/Scala, TensorFlow/PyTorch, and Kubernetes, with a strong focus on data quality and insights delivery.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 3–5 years of relevant technical/technology experience, with a focus on GenAI projects.
• Strong programming skills in languages such as Python, R, or Scala.
• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit‑learn.

Responsibilities

• Collaborate with cross‑functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
• Develop and implement machine learning models and algorithms for GenAI projects.
• Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.
• Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.
• Validate and evaluate model performance using appropriate metrics and techniques.
• Develop and deploy production‑ready machine learning applications and solutions.
• Utilize object‑oriented programming skills to build robust and scalable software components.
• Utilize Kubernetes for container orchestration and deployment.
• Design and build chatbots using GenAI technologies.
• Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.
• Stay up‑to‑date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.

Skills

Python

R

Scala

GenAI experience

Problem solving

Communication

Education

Bachelor's or Master's degree in Data Science/CS/Statistics or related field

BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA from a reputed institute

Tools

TensorFlow

PyTorch

scikit-learn

Kubernetes

Job description

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Responsibilities

• Collaborate with cross‑functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
• Develop and implement machine learning models and algorithms for GenAI projects.
• Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.
• Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.
• Validate and evaluate model performance using appropriate metrics and techniques.
• Develop and deploy production‑ready machine learning applications and solutions.
• Utilize object‑oriented programming skills to build robust and scalable software components.
• Utilize Kubernetes for container orchestration and deployment.
• Design and build chatbots using GenAI technologies.
• Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.
• Stay up‑to‑date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 3–5 years of relevant technical/technology experience, with a focus on GenAI projects.
• Strong programming skills in languages such as Python, R, or Scala.
• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Experience with data preprocessing, feature engineering, and data wrangling techniques.
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools and techniques.
• Strong problem‑solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast‑paced and dynamic environment.

Preferred Qualifications

• BE/B.Tech/MCA/M.Sc/M.E/M.Tech/Master’s Degree/MBA from a reputed institute.
• Experience with object‑oriented programming languages such as Java, C++, or C#.
• Experience with developing and deploying machine learning applications in production environments.
• Understanding of data privacy and compliance regulations.
• Relevant certifications in data science or GenAI technologies.

Nice to Have Skills

• Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
• Familiarity with LLM‑backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.
• Experience in chatbot design and development.