Job Description

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Associate

Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.


Why PWC 

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us 

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " 


Job Description & Summary 

A career within Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences. 

 

*Responsibilities:  

Position Overview: Data Engineer 

What You Will Do: 

  • Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems. 
  • Establish and promote best practices in modeling, experimentation, and analytical rigor. 
  • Convert real-world healthcare challenges into scalable data science solutions. 
  • Collaborate with global stakeholders to influence product and business strategy. 
  • Mentor and enhance the technical capabilities of the data science team. 
  • Keep up to date with the latest advances in ML and healthcare analytics. 

Who We Are Looking For: 

 

*Mandatory skill sets  

  • Conduct exploratory data analysis using visualizations to understand data patterns and structures. 
  • Perform statistical analysis and hypothesis testing to validate assumptions. 
  • Develop, deploy, evaluate, and fine-tune machine learning models for business challenges. 
  • Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms. 
  • Utilize advanced statistical and machine learning methods to derive actionable insights. 
  • Lead AI research projects focused on innovative data analysis techniques. 
  • Qualifications: 
  • 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions. 
  • Strong expertise with Azure Stack services and Snowflake. 
  • Proficient in SQL with deep knowledge of dimensional modeling. 
  • Experience creating interactive dashboards using Power BI or Tableau. 
  • Familiarity with advanced statistical analysis, machine learning, and predictive modeling. 
  • Programming proficiency in R or Python preferred. 
  • Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences. 
  • Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus. 

*Preferred skill sets  

Python, Machine learning , Deep learning  

Years of experience required  

5+ years 

Location : Hyderabad 

Employment Type : Full Time, Permanent 

 

*Education Qualification   

 

Full time B. E 



Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Azure Devops

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 36 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date
September 16, 2026







Job Details

Role Level: Associate Work Type: Full-Time
Country: India City: Greater Hyderabad Area
Company Website: http://www.pwc.in Job Function: Data Science & AI
Company Industry/
Sector:
Business Consulting and Services

What We Offer


About the Company

Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.

Report

Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.


Recent Jobs
View More Jobs
Talentmate Instagram Talentmate Facebook Talentmate YouTube Talentmate LinkedIn