INSenior AssociatePalantir Data and AnalyticsAdvisoryPune

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC our people in business application consulting specialise in consulting services for a variety of business applications helping clients optimise operational efficiency. These individuals analyse client needs implement software solutions and provide training and support for seamless integration and utilisation of business applications enabling clients to achieve their strategic objectives.

In SAP data and analytics at PwC you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements design and implement data management and analytics solutions and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area you will work closely with clients to understand their data needs develop data models perform data analysis and create visualisations and reports to support data-driven decision-making helping them optimise their data management processes enhance data quality and derive valuable insights from their data to achieve their strategic objectives.

*Why PWC

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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.

Responsibilities:

Lead the development and deployment of AIML/generative AI models managing full project lifecycles from conception to delivery. Collaborate with senior stakeholders to identify strategic opportunities for AI applications aligning them with business objectives. Collaborate/Oversee teams of data scientists and engineers providing guidance mentorship and ensuring high-quality deliverables. Drive research and innovation in AI techniques and tools fostering an environment of continuous improvement and learning. Ensure compliance with data governance standards and ethical AI practices in all implementations. Present AI insights and project progress to clients and internal leadership adapting technical language to suit audience expertise levels.

Mandatory skill sets:

AI/ML NLP and Generative AI models

Preferred skill sets:

Azure Google Cloud

Years of experience required:

3-5 Years

Education qualification:

Advanced degree (Masters or Ph.D.) in Computer Science Artificial Intelligence Data Science or related discipline.

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Palantir (Software)

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Communication Complex Data Analysis Creativity Data Analysis Software Data Collection Data-Driven Consulting Data Integration Data Mining Data Modeling Data Preprocessing Data Quality Data Quality Improvement Plans (DQIP) Data Security Data Visualization Embracing Change Emotional Regulation Empathy Inclusion Intellectual Curiosity Learning Agility Optimism 10 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date