IN_Senior Associate_AI Data Engineer_GCC_Advisory_Hyderabad

PwC

Hyderabad

On-site

INR 1,200,000 - 2,200,000

Full time

2 days ago

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Job summary

PwC in Hyderabad seeks a Senior Associate in Data, Analytics & AI within Advisory to drive data-driven decisions. You will develop ML models, lead data pipelines and collaborate with global teams to shape product strategy and client outcomes.

The role requires 4+ years in data analytics and a BE, with expertise across Azure, Snowflake, SQL, and BI tools. Generative AI experience is a plus. This is an on-site position in Hyderabad with PwC’s supportive, mentorship-focused culture.

Qualifications

4+ years hands-on experience building data analytics, data engineering and ML solutions.
Strong expertise with Azure Stack services and Snowflake.
Proficient in SQL with dimensional modeling.
Experience creating interactive dashboards using Power BI or Tableau.
Familiarity with advanced statistical analysis, ML, and predictive modelling.
Programming in R or Python preferred.

Responsibilities

Lead development of ML and statistical models for healthcare problems.
Promote best practices in modeling, experimentation and 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.
Stay up-to-date with advances in ML and healthcare analytics.

Skills

Data analytics

Machine learning

Statistical analysis

Data engineering

Data visualization

AI/Generative AI

Education

BE / Bachelor of Engineering

Tools

Azure Stack

Snowflake

SQL

Power BI

Tableau

Python

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, 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 foreach 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 modelling. 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

Degrees/Field of Study required

Bachelor of Engineering

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills Data Engineering Optional Skills