PwC
Website:
pwc.com
Job details:
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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
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, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic 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 environments
- 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
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