IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata

PwC; Kolkata District; On-site; INR 450,000 - 650,000; Full time

Benefits offered by this job

Mentorship

Flexible work arrangements

Inclusive benefits

Job summary

PwC India in Kolkata is seeking an Associate in Data & Analytics to design and build analytical, deep learning (DL), and machine learning (ML) algorithms using Python, R, and SQL, and to develop scalable data pipelines on AWS.

You will work on GenAI applications, statistical techniques, and data engineering to deliver insights that optimise client performance. Fresher to 2 years, BE/BTech/MTech preferred.

Join a values-driven team offering mentorship, flexible programmes, and inclusive benefits.

Qualifications

• Fresher to 2 years of experience in data analytics or ML.
• Strong programming skills in Python/SQL/R.
• Knowledge of cloud platforms (AWS) and data pipelines.

Responsibilities

• Design and implement analytics models and DL/ML algorithms.
• Build scalable data pipelines on AWS.
• Collaborate with client teams to derive insights.
• Evaluate GenAI solutions and integrate into data engineering workflows.

Skills

Python

AWS

Data Engineering

GenAI

SQL

R

Education

BE

B.Tech

M.Tech

Tools

OpenAI

Google Gemini

Job description

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismOperationsManagement LevelAssociateJob Description & SummaryAt 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt 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 usAt 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….Responsibilities:• Designing and building analytical, deep learning (DL), and machine learning (ML) algorithms using Python, R, and other statistical and data engineering tools.• Developing scalable data pipelines and cloud-based solutions leveraging AWS services to support advanced analytics and AI/ML workflows.Technical Skills Required:• Hands-on experience with Generative AI, including designing, developing, and deploying GenAI applications in production environments using Python and cloud platforms like AWS.• Strong knowledge of statistical and data mining techniques such as Linear & Logistic Regression, Decision Trees, Bagging, Boosting, Time Series analysis, and Non-parametric methods.• Proficiency in Python, SQL, and R, combined with experience in distributed data processing frameworks and cloud-based data engineering tools.• Proven expertise with Generative AI platforms and services, including OpenAI and Google Gemini, integrated within data engineering pipelines.Mandatory skill sets:Python, AWS, Data EngineeringPreferred skill sets:Python, AWS, Data EngineeringYears of experience required:Fresher / 0 to 2 YearsEducation qualification:BE, B. Tech, M. TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 22 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End DateNovember 17, 2026