Sr Associate_Data Engineer_Data and Analytics_Advisory

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 utilise 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.

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.