IN-Senior Associate_Full Stack Developer Gen AI_Data & Analytics_Advisory_Bangalore

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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 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 firm's 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 :

• 4+ years of experience as AI / ML engineer or similar role.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with model development and deployment processes.
• Proficiency in programming languages such as Python.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes).
• Familiarity with version control systems (e.g., GitHub).
• Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas.
• Good to have knowledge of deep learning, ML Ops : Kubeflow, MLFlow, Nextflow.
• Knowledge on text Analytics, NLP, Gen AI

Mandatory skill sets :

ML Ops, AI / ML

Preferred skill sets :

ML Ops, AI / ML

Years of experience required :

4 - 8

Education qualification :

B.Tech / M.Tech / MBA / MCA

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

Degrees / Field of Study required : Master Degree, Bachelor Degree

Degrees / Field of Study preferred :

Certifications (if blank, certifications not specified)

Required Skills

Product Management

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline + 38 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

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Skills Required

Github, Text Analytics, Machine Learning, Deep Learning, Tensorflow, Numpy, Nlp, Pytorch, Pandas, Docker, Kubernetes, Python, Aws