Data Scientist Sql/python Engineer Senior Associate Gurugram

The Prospect When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in energetic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will design, develop, and deploy predictive models and analytical solutions that drive insights for the pharma industry. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while focusing on building client relationships and developing a deeper understanding of business context. This position provides an exciting opportunity to work extensively with Pharma Claims Data and contribute to commercial analytics initiatives.

Responsibilities Develop and deploy analytical solutions for the pharmaceutical sector

Drive insights from Pharma Claims Data to support commercial initiatives

Analyze intricate problems and propose practical strategies

Mentor and support the growth of junior colleagues

Foster sturdy client relationships through effectual communication

Maintain rigorous standards in every aspect of work

Collaborate with teams to enhance understanding of business context

Adapt to evolving challenges in the analytics landscape What You Must Have Bachelor's Degree

4 years of experience in data science, machine learning, or applied statistics

Oral and written proficiency in English required What Sets You Apart Bachelor's or Master's Degree in Data Science

Relevant certifications in Data Science, Cloud, or Machine Learning technologies preferred

Excelling in machine learning frameworks and methodologies

Analyzing and integrating large-scale datasets effectively

Developing and deploying predictive models in client settings

Communicating insights through data storytelling

Staying updated with advancements in AI and data science

Collaborating with stakeholders to translate problems into solutions

Hands-on experience with SAS and advanced SQL .