Software Engineering - Data Scientist - Associate

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

PwC Level: Associate

Minimum Years of Experience: 1.8 to 3 years

About PwC

We help organisations and individuals create the value they are looking for, by delivering quality in Assurance, Tax and Advisory services. A role in PwC will provide you opportunities to apply skills beyond the workplace to create ground-breaking solutions for clients and our communities. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC Acceleration Centers in India are diverse, global talent hubs focused on delivering value to our clients – providing virtual client engagement support around the world and across all PwC’s services and capabilities.

What does this role entail?

Build analytics products/accelerators using a variety of big data technologies and analytics tools as required by stakeholders and create robust documentation of solutions, underlying design decisions and operating procedures.

Work on several large-scale datasets (e.g. internal client data, external public data, and new sources of data) and drive analytics path to align with overall project objective, develop and execute analytical module development on PwC’s big data platform.

Engage well with both internal and external stakeholders to understand requirements and translate them to analytical solutions.

Required to meet tight deadlines and manage multiple competing priorities; ability to work independently and navigate through ambiguous requirements.

Manage the continuous improvement of data science and machine learning by following industry best practices.

Stay abreast of new AI research from leading digital by reading papers and experimenting with code.

Work in sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients.

Understand and implement ETL pipelines, data ingestion & transformation to populate data models.

Communicate with clarity, ask relevant questions, drive conversations.

Come up with better and new perspective to different analytical solution

Must Have Skills

Strong Analytical Thinking skills – Ability to creatively solve business problems, innovating new approaches where required.

Hands on skills in Python.

Excellent communication skills.

Self-driven and results oriented.

Knowledge on using LLMs, Prompt Engineering in getting the work done efficiently.

Good To Have Skills

Experience in Pyspark.

Experience in ML frameworks.

Experience in PowerBI