IN_Senior Associate_AI Data Engineer_Data and Analytics_Advisory_Hyderabad

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 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 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:

• 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.

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

Education qualification:

 

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:

**Certifi…