Software Developer

PwC; Hyderabad, Bengaluru; Hybrid; INR 3,800,000 - 5,500,000; Full time

Job summary

PwC Hyderabad is seeking an experienced Senior Data Scientist to lead data science initiatives and transform raw data into actionable insights. You will guide teams in applying advanced analytics, develop ML models, and collaborate with client teams to design robust data solutions.

The role emphasizes ownership of projects, mentoring engineers, and driving innovation with modern data platforms. Fluency in English and a strong foundation in software engineering are required.

Qualifications

• At least a Bachelor's degree from Tier 1.
• At least 7 years of experience.
• Oral and written proficiency in English required.

Responsibilities

• Leading data science initiatives to transform raw data into actionable insights for informed decision-making
• Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
• Developing and implementing machine learning models to enhance data-driven decision-making processes
• Collaborating with client support teams to design and develop robust data solutions that drive business growth
• Utilizing data science algorithms and troubleshooting techniques to optimize data analysis and visualization
• Mentoring team members to leverage their unique strengths and improve performance on client engagements
• Analyzing system components to identify linkages and interactions for comprehensive data solutions
• Taking ownership of projects, including planning, budgeting, execution, and completion, to meet client expectations
• Encouraging innovation and the use of technology to enhance delivery and inspire team development
• Addressing conflicts and engaging in challenging conversations with clients and stakeholders to maintain project alignment

Skills

Python

REST APIs

Kubernetes

PostgreSQL

Git workflows

Docker

CI/CD

Automated testing

Design patterns

Kafka

RabbitMQ

LangGraph

OpenAI SDK

Google ADK

Asynchronous APIs

Education

Bachelor's degree (Tier 1)

Tools

REST APIs

Kubernetes

PostgreSQL

Git

Docker

CI/CD

Job description

Responsibilities

• Leading data science initiatives to transform raw data into actionable insights for informed decision-making
• Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
• Developing and implementing machine learning models to enhance data-driven decision-making processes
• Collaborating with client support teams to design and develop robust data solutions that drive business growth
• Utilizing data science algorithms and troubleshooting techniques to optimize data analysis and visualization
• Mentoring team members to leverage their unique strengths and improve performance on client engagements
• Analyzing system components to identify linkages and interactions for comprehensive data solutions
• Taking ownership of projects, including planning, budgeting, execution, and completion, to meet client expectations
• Encouraging innovation and the use of technology to enhance delivery and inspire team development
• Addressing conflicts and engaging in challenging conversations with clients and stakeholders to maintain project alignment

What You Must Have

• At least a Bachelor's degree from Tier 1
• At least 7 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
• Strong proficiency in Python for production-grade application or service development.
• Experience designing, implementing, and integrating REST APIs.
• Hands-on experience with Kubernetes and containerised service deployment.
• Strong working knowledge of PostgreSQL, including schema design, querying, and performance tuning.
• Proficiency with Git-based collaborative development workflows.
• Strong understanding of software engineering fundamentals, including clean code, automated testing, design patterns, and maintainability.
• Working knowledge of Docker and CI/CD pipelines.
• Experience setting technical direction, reviewing code, resolving complex issues, and mentoring engineers.
• Experience with asynchronous APIs, messaging platforms, or event-streaming technologies such as Kafka or RabbitMQ.
• Exposure to agentic development using frameworks such as LangGraph, the OpenAI SDK, or Google ADK.
• Leveraging tools and methodologies to generate innovative solutions