Industry/Sector
Not Applicable
Specialism
Deals
Management Level
Manager
Job Description & Summary
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.
Enhancing your leadership style you motivate develop and inspire others to deliver quality. You are responsible for coaching leveraging team members unique strengths and managing performance to deliver on client expectations. With your growing knowledge of how business works you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects ensuring their successful planning budgeting execution and completion.
- Partner with team leadership to ensure collective ownership of quality timelines and deliverables.
- Develop skills outside your comfort zone and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues engaging in difficult conversations with clients team members and other stakeholders escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
Job Title: Data Scientist - Azure Solutions Specialist Manager
Location: Kolkata
Job Description:
We are seeking a seasoned Data Scientist Manager with 8-11 years of experience in Microsoft Azure solutions technical delivery and team management. The ideal candidate will lead and oversee the development and deployment of advanced analytics models and solutions using Azures suite of tools and services. You will manage a team of data scientists and engineers ensuring high-quality deliverables stakeholder satisfaction and continuous improvement in data science practices. Strong communication skills are essential for this role.
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.
- Lead and manage a team of data scientists and engineers providing mentorship guidance and performance feedback.
- Ensure successful technical delivery of projects managing timelines resources and stakeholder expectations.
- Foster a culture of innovation continuous learning and collaboration within the team.
- Oversee and guide the use of SQL and Python for advanced data manipulation integration and analytics across projects.
Qualifications:
- Bachelors or masters degree in data science Computer Science Statistics or a related field.
- 8-11 years of proven experience as a data scientist with significant exposure to Azure solutions and technical delivery.
- Demonstrated experience in managing and mentoring teams of data scientists and engineers.
- Proficiency in programming languages such as Python or R for data analysis and model development.
- Hands-on experience with Azure Machine Learning Azure Data Factory and Azure Databricks.
- Strong understanding of machine learning algorithms statistical techniques and best practices in model deployment.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Outstanding communication skills with the ability to convey complex data insights and technical concepts to diverse audiences.
- Experience in project management stakeholder engagement and delivery of large-scale analytics solutions.
- Proficiency in programming languages such as Python and Structured Query Language (SQL) for data analysis model development and technical delivery.
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).
Travel Requirements
Not Specified
Job Posting End Date
Required Experience:
Manager
Industry/SectorNot ApplicableSpecialismDealsManagement LevelManagerJob Description & SummaryAt 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 ...
Industry/Sector
Not Applicable
Specialism
Deals
Management Level
Manager
Job Description & Summary
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.
Enhancing your leadership style you motivate develop and inspire others to deliver quality. You are responsible for coaching leveraging team members unique strengths and managing performance to deliver on client expectations. With your growing knowledge of how business works you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects ensuring their successful planning budgeting execution and completion.
- Partner with team leadership to ensure collective ownership of quality timelines and deliverables.
- Develop skills outside your comfort zone and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues engaging in difficult conversations with clients team members and other stakeholders escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
Job Title: Data Scientist - Azure Solutions Specialist Manager
Location: Kolkata
Job Description:
We are seeking a seasoned Data Scientist Manager with 8-11 years of experience in Microsoft Azure solutions technical delivery and team management. The ideal candidate will lead and oversee the development and deployment of advanced analytics models and solutions using Azures suite of tools and services. You will manage a team of data scientists and engineers ensuring high-quality deliverables stakeholder satisfaction and continuous improvement in data science practices. Strong communication skills are essential for this role.
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.
- Lead and manage a team of data scientists and engineers providing mentorship guidance and performance feedback.
- Ensure successful technical delivery of projects managing timelines resources and stakeholder expectations.
- Foster a culture of innovation continuous learning and collaboration within the team.
- Oversee and guide the use of SQL and Python for advanced data manipulation integration and analytics across projects.
Qualifications:
- Bachelors or masters degree in data science Computer Science Statistics or a related field.
- 8-11 years of proven experience as a data scientist with significant exposure to Azure solutions and technical delivery.
- Demonstrated experience in managing and mentoring teams of data scientists and engineers.
- Proficiency in programming languages such as Python or R for data analysis and model development.
- Hands-on experience with Azure Machine Learning Azure Data Factory and Azure Databricks.
- Strong understanding of machine learning algorithms statistical techniques and best practices in model deployment.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Outstanding communication skills with the ability to convey complex data insights and technical concepts to diverse audiences.
- Experience in project management stakeholder engagement and delivery of large-scale analytics solutions.
- Proficiency in programming languages such as Python and Structured Query Language (SQL) for data analysis model development and technical delivery.
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).
Travel Requirements
Not Specified
Job Posting End Date
Required Experience:
Manager
View more
View less