IN Senior Associate Data Science Data and Analytics Advisory Hyderabad

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 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: -Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance, Logistics, Procurement, Customer, Supply Chain, HR) to develop analyses that lead to actionable insights that accelerate profitable growth. -Working with bigdata, SAP, Oracle, Workday or several other large and complex databases.

Responsibilities:

-Designing and building analytical / ML algorithms using Python, R and other statistical tools. -Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. -Ability to learn new scripting language or analytics platform

Mandatory skill sets:

-Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. -Strong knowledge of Deep Learning and Neural Network Architectures like CNN, RNN, LSTM, Transformers etc. -Strong knowledge of SQL and R/Python and experience with distribute data/computing tools. -Experience in advanced Text Analytics (NLP, NLU, NLG). -Strong hands-on experience of end-to-end statistical model development and implementation -Basic understanding of MLOps for scalable ML development. -Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. -Exposure to Cloud technologies (Azure or AWS

Preferred skill sets:

-Experience in video/ image analytics -Experience in IoT/ machine logs data analysis -Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME -Expertise in Cloud analytics platforms (Azure, AWS or Google) -Experience in Process Mining with expertise in Celonis or other tools

Years of experience required:

-3 to 10 years' experience in Analytics modeling -Experience in algorithm development -Open for domestic and international travels

Education qualification:

- M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL focus) -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) -MBA with ML/DL Focus.

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

Degrees/Field of Study required: Master of Science, Master of Business Administration, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Mining, Statistics

Optional Skills

Amazon Web Services (AWS), Microsoft Azure

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