IN-Senior AssociateDatabricksPyspark Data and AnalyticsAdvisoryPan India

Line of Service

Advisory

Industry / Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.

In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.

• Why PWC

At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 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 Degree Master Degree

Degrees / Field of Study preferred :

Certifications (if blank certifications not specified)

Required Skills

Databricks SQL

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 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

Required Experience :

Senior IC

Key Skills

Databases,Data Analytics,Microsoft Access,SQL,Power BI,R,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1