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PwC India

IN_Senior Associate_Data Scientist_D&A_Advisory_Mumbai

PwC India · Mumbai, Maharashtra, India

  • On site
  • Full-time
  • ₹1,500,000 / year
  • Mumbai, Maharashtra, India

Job highlights

  • Leverage data for business insights and decisions.
  • Develop and implement advanced analytics solutions.
  • Focus on insurance analytics use cases.
  • Build predictive models and data visualizations.
  • Collaborate with client teams on analytics solutions.

About the role

About the Role

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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.

Key Responsibilities:

  • Work on end-to-end insurance analytics use cases such as underwriting, claims, risk, customer analytics, and related areas.
  • Translate business problems into analytical solutions and deliver actionable insights.
  • Develop and implement predictive models and advanced analytical approaches.
  • Build dashboards and data visualizations to support decision-making for business stakeholders.
  • Collaborate with cross-functional and client teams to drive analytics-led solutions.

Must-Have Skills:

  • Strong Insurance Domain Knowledge.
  • Advanced analytical skills using Python and SQL.
  • Solid understanding of predictive modeling and analytical problem-solving.
  • Experience creating dashboards and visualizations for business users.
  • Hands-on Python programming experience (data wrangling, modeling, visualization).
  • Ability to communicate insights to Stakeholders.

Preferred Skills:

  • Exposure to GenAI driven analytics.
  • Experience with cloud platforms such as Databricks/AWS.
  • Experience in working with consulting or client-facing roles.

Key Information:

  • Location: Mumbai (Work from Office / Hybrid)
  • Experience: 5–10 years
  • Joining: Immediate / Short notice preferred
  • Mandatory skill sets: Data Science/ML/LLM/Insurance
  • Preferred skill sets: Data Science/ML/LLM/Insurance
  • Years of experience required: 5—10 Years
  • Education qualification: B.E.(B.Tech)/M.E/M.Tech
  • Travel Requirements: Up to 40%

Key skills/competency

  • Data Scientist
  • Machine Learning
  • Insurance Domain
  • Python
  • SQL
  • Data Visualization
  • Predictive Modeling
  • Business Intelligence
  • Analytics
  • Cloud Platforms

Skills & topics

  • Data Scientist
  • Machine Learning
  • Insurance
  • Python
  • SQL
  • Data Visualization
  • Predictive Modeling
  • Business Intelligence
  • Analytics
  • PwC India
  • Mumbai
  • Senior Associate
  • Advisory
  • Data
  • AI

How to get hired

  • Tailor your resume: Highlight your insurance domain knowledge, Python, SQL, and machine learning skills. Quantify achievements with data.
  • Showcase relevant experience: Emphasize your experience with end-to-end insurance analytics use cases and translating business problems into analytical solutions.
  • Prepare for technical questions: Be ready to discuss predictive modeling, data wrangling, and visualization techniques. Practice coding challenges in Python and SQL.
  • Demonstrate communication skills: Prepare to explain complex analytical insights clearly to business stakeholders. Highlight any client-facing or consulting experience.
  • Research PwC's values: Understand their commitment to trust, innovation, and diversity. Align your answers with their purpose-led approach.

Technical preparation

Master Python for data wrangling and modeling.,Practice complex SQL queries for data extraction.,Build and explain predictive models.,Create effective data visualizations and dashboards.

Behavioral questions

How do you translate business problems into analytics?,Describe a time you communicated complex insights.,How do you handle collaborating with client teams?,How do you stay updated on new AI techniques?

Frequently asked questions

What specific insurance domain knowledge is most valuable for this Senior Associate Data Scientist role at PwC India?
For the Senior Associate Data Scientist position at PwC India, strong knowledge in core insurance areas like underwriting, claims management, risk assessment, and customer analytics is highly valued. Demonstrating how you've applied data science techniques within these specific insurance functions will significantly strengthen your application.
How does PwC India approach hybrid work for their Senior Associate Data Scientist roles in Mumbai?
PwC India offers a hybrid work model for the Senior Associate Data Scientist role in Mumbai. This means you'll have a blend of working from the office and remotely, providing flexibility while ensuring collaboration. Specific arrangements are typically discussed during the hiring process.
What are the key technical skills required for the Senior Associate Data Scientist position at PwC India?
The key technical skills for this role include advanced analytical abilities using Python and SQL, solid understanding of predictive modeling, and experience in creating dashboards and visualizations. Hands-on Python programming for data wrangling, modeling, and visualization is essential.
Is there an opportunity to work with Generative AI (GenAI) in this Senior Associate Data Scientist role at PwC India?
Yes, exposure to GenAI-driven analytics is considered a preferred skill for this Senior Associate Data Scientist role at PwC India. While not mandatory, it's a valuable asset that can differentiate your profile and indicate readiness for future-oriented projects.
What is the typical career progression for a Senior Associate Data Scientist at PwC India?
As a Senior Associate Data Scientist at PwC India, your career progression could lead to roles such as a Manager or Senior Consultant in Machine Learning, especially within specialized domains like insurance. PwC is known for its structured career paths and opportunities for growth.
What kind of client-facing experience is PwC India looking for in a Senior Associate Data Scientist?
PwC India values candidates for the Senior Associate Data Scientist role who have experience in consulting or client-facing positions. This indicates an ability to understand client needs, communicate complex solutions effectively, and manage relationships to drive analytics-led solutions.
How important is it to have experience with cloud platforms like Databricks or AWS for this role?
Experience with cloud platforms such as Databricks or AWS is a preferred skill for the Senior Associate Data Scientist role. While not mandatory, it demonstrates your ability to work with modern data infrastructure, which is increasingly important in data science.