Advisory - Deals - Forensic - Associate 2 - Kolkata

At PwC, our people in deals focus on providing strategic advice and support to clients in areas such as mergers and acquisitions, divestitures, and restructuring. They help clients navigate complex transactions and maximise value in their business deals. Those in deal integration and valuation realisation at PwC will focus on assisting clients in successfully integrating acquisitions and maximising the value of their investments. You will be responsible for conducting valuations, financial analysis, and developing strategies for post-merger integration.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firms code of conduct and independence requirements.
• Job Description**:
  
  

We are seeking a skilled Data Scientist with expertise in Microsoft Azure solutions to join our team. The ideal candidate will be responsible for developing and deploying advanced analytics models and solutions using Azures suite of tools and services. You will work closely with stakeholders to transform data into actionable insights that support strategic decision-making.

• Key Responsibilities**:
• Design, develop, and deploy machine learning models and data science solutions using Azure Machine Learning and other Azure services.
• Collaborate with data engineers and business stakeholders to understand data needs and translate them into technical specifications.
• Perform data exploration, preprocessing, and feature engineering to prepare data for analysis and modeling.
• Utilize Azure Data Factory and Azure Databricks for data integration and processing tasks.
• Implement and manage end-to-end data science workflows on Azure, ensuring scalability and performance.
• Communicate insights and findings effectively to non-technical stakeholders through reports and visualizations.
• Stay updated with the latest advancements in Azure technologies and data science methodologies.
• Qualifications**:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a data scientist with a focus on Azure solutions.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with Azure Machine Learning, Azure Data Factory, and Azure Databricks.
• Strong understanding of machine learning algorithms and statistical techniques.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to convey complex data insights to a diverse audience.
• Preferred Qualifications**:
• Experience with Azure Synapse Analytics and Power BI for data visualization and reporting.
• Familiarity with deploying models using Azure Kubernetes Service (AKS) or Azure Functions.
• Certification in Microsoft Azure (e.g., Azure Data Scientist Associate).

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