IN_Senior Associate_AI Data Engineer_Data and Analytics_Advisory_Hyderabad

PwC; Hyderabad; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

PwC Hyderabad is seeking a Data Engineer (Senior Associate) to join the Data, Analytics & AI team. You will lead development of ML and data pipelines, build scalable solutions for healthcare challenges, and collaborate with global stakeholders.

The role requires 5+ years, expertise in SQL, Snowflake, Azure, Power BI/Tableau, and strong communication. This full-time position offers opportunities to mentor others and work on innovative analytics initiatives.

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.
• Programming in Python or R preferred.
• Excellent communication skills for diverse audiences.
• Experience with AI automation projects a plus.

Responsibilities

• Lead development of ML and statistical models for healthcare problems.
• Establish best practices in modeling, experimentation and rigor.
• Convert real-world challenges into scalable data science solutions.
• Collaborate with global stakeholders to influence product and strategy.
• Mentor and enhance the data science team's capabilities.
• Stay up to date with advances in ML and healthcare analytics.

Skills

SQL

Dimensional modeling

Python

R

Snowflake

Azure

Data visualization

Data modeling

Communication

Machine learning

Education

Bachelor of Technology

Tools

Power BI

Tableau

Snowflake

Azure Stack

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 forour 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, flexibilityprogrammesand mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn moreabout us

At PwC, we believe inprovidingequal 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 Summary-

A career withinData & AnalyticsServices 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 inmodeling, 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.

**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 dimensionalmodeling.

• Experience creating interactive dashboards using Power BI or Tableau.

• Familiarity with advanced statistical analysis, machine learning, and predictivemodeling.

• 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, Machinelearning ,Deep learning

**Years of experiencerequired:**

5+years

Location :Hyderabad

EmploymentType :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 Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, 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 {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 3, 2026