Job Description

Line of Service Advisory
Industry/Sector FS X-Sector
Specialism Data, Analytics & AI
Management Level Senior Associate
& 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.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
*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 .
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. "
Responsibilities:
Collaborate with clients to understand their business needs and provide data-driven solutions.
Develop and implement machine learning models to solve complex business problems.
Analyze large datasets to extract actionable insights and drive decision-making.
Present findings and recommendations to stakeholders in a clear and concise manner.
Stay updated with the latest trends and advancements in data science and machine learning.
GenAI Experience:
Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures
Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI
Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences
Technical Skills:
Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development.
Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models.
Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations.
Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions.
Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval.
Version Control: Experience with Git for collaborative development and code management.
APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment.
Machine Learning algorithms:
Supervised and Unsupervised Learning
Regression Analysis
Classification Techniques
Clustering Algorithms
Natural Language Processing (NLP)
Time Series Analysis
Deep Learning
Reinforcement Learning Qualifications:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
3-5 years of relevant experience in data science and machine learning
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Ability to work independently and as part of a team
Mandatory skill sets:
GenAI/BFSI/ Data Visualization
Preferred skill sets:
GenAI/ BFSI / Data Visualization
Years of experience required:
3-6 Years
Education qualification:
B.E.(B.Tech)/M.Tech
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Generative AI
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 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