IN_ Associate_ Data Science_ Advisory Corporate_Advisory_Bangalore

PwC South Africa

Bengaluru

On-site

Confidential

Full time

14 days+

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Job summary

PwC in Bengaluru is seeking an Associate to join the Line of Service Advisory with focus on SAP and data analytics. You will build, train, and deploy ML models using Python on Azure/AWS, and work closely with clients to translate data into actionable insights.

The role requires 3–6 years of experience in ML/DL, proficiency with AzureML or SageMaker, and hands-on experience with PySpark, Airflow, Docker, and Kubernetes.

Qualifications

3+ years of ML/Deep Learning model development in Python.
Experience with AzureML or AWS Sagemaker and REST APIs.
Strong SQL and data analysis using Pandas.

Responsibilities

Build, train, and deploy ML models on cloud platforms.
Develop RESTful APIs for model deployment.
Work with big data ecosystems (Hadoop, Elasticsearch) and databases.
Collaborate with clients and convey complex concepts clearly.
Use PySpark, Airflow, Docker, and Kubernetes in workflow pipelines.

Education

B.Tech / M.Tech / MBA / MCA

MBA, BE, ME

Tools

AzureML/AWS Sagemaker

Docker/Kubernetes

PowerBI

Azure Data Factory

PySpark

Airflow

SQL

Hadoop

Elasticsearch

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Associate Job Description & Summary

A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

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.

Responsibilities

Build, Train, and Deploy ML Models using Python on Azure/AWS
3+ years of Experience in building Machine Learning and Deep Learning models in Python
Experience on working on AzureML/AWS Sagemaker
Ability to deploy ML models with REST based APIs
Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
Ability to work directly with customers with good communication skills.
Ability to analyze datasets using SQL, Pandas
Experience of working on Azure Data Factory, PowerBI
Experience on PySpark, Airflow etc.
Experience of working on Docker/Kubernetes

Required Skills