📋 Job Details at a Glance 📍 Location Kolkata, India 🏢 Company PwC 👥 Experience 0-2 years 🎓 Qualification 0-2 years. Hands-on with Python, SQL, AWS. Relevant technical / engineering background 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL AWS Machine Learning Deep Learning Generative AI Data Pipelines Cloud-based Solutions Associate Data Science & Engineering - Data & Analytics Advisory at PwC — Full Details & How to Apply PwC is seeking an Associate Data Science & Engineering in Kolkata, India for a role focused on developing machine learning algorithms using Python and SQL . This position offers hands-on experience with real-world data pipelines and cloud-based solutions , directly supporting client operations through technical analytics. This Associate Data Science & Engineering - Data & Analytics Advisory role involves building and implementing data pipelines , applying machine learning and deep learning techniques, and deploying solutions on AWS . The role enables professionals to work with cloud-based environments and generate practical, client-facing analytics that support operational efficiency and strategic decision-making. The job posting confirms that PwC specializes in data and analytics advisory services, with this role embedded within a team that delivers advanced analytics to clients. The position is part of PwC ’s technology-focused advisory practice, emphasizing technical execution and data-driven outcomes. 2022, 2023, 2024, 2025 graduates are eligible. Candidates must have 0-2 years. Hands-on with Python, SQL, AWS. Relevant technical / engineering background and 0-2 years experience . The salary is Not Disclosed . Applicants will gain practical experience with Python , SQL , AWS , Machine Learning , Deep Learning , Generative AI , and Data Pipelines . This role provides a foundation for progression into senior data engineering or analytics roles within the firm, with exposure to end-to-end data solutions. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore Associate Data Science & Engineering - Data & Analytics Advisory jobs in Kolkata, India jobs . Stay updated on PwC recruitment for emerging tech roles. Apply online to secure your place in the next cohort. Job Role & Responsibilities The Associate Data Science & Engineering role at PwC enables the design and deployment of scalable data solutions using Python , SQL , and AWS to deliver actionable insights for clients in the technology sector. This role directly supports data-driven decision-making through algorithmic development and pipeline execution. Design analytical algorithms using Python and Machine Learning to generate predictive models for client-specific use cases. Develop end-to-end Data Pipelines on AWS to process large-scale datasets and ensure real-time data ingestion. Collaborate with business stakeholders to translate requirements into data analysis tasks using SQL queries and Python scripts. Monitor key performance metrics such as model accuracy, data latency, and pipeline throughput to improve operational efficiency. Maintain existing codebases in Python and SQL to ensure stability, version control, and reproducibility of analytics applications. Document data workflows and analytical processes using structured reports to communicate findings to non-technical stakeholders. Troubleshoot data inconsistencies and pipeline failures in AWS environments using logs and error metrics to restore data integrity. Implement generative AI models in Python to produce automated insights, leveraging Generative AI for client-facing report generation. This role demands direct ownership of data solutions, where every algorithm , pipeline , and metric contributes to measurable client outcomes and operational performance improvements. Required Skills & Technical Competencies The role requires a strong foundation in core data engineering and machine learning tools, with emphasis on hands-on implementation using Python , SQL , AWS , and Machine Learning technologies. Technical Skills Python — entry — used to implement machine learning algorithms, automate data processing, and build data analysis scripts. SQL — entry — used to query relational databases, extract structured data, and perform data validation tasks. AWS — entry — used to deploy and manage cloud-based data pipelines , configure EC2 instances, and store data in S3. Machine Learning — entry — applied to develop predictive models for client data, such as churn or demand forecasting. Deep Learning — entry — used to build neural network models for image or text analysis in specific technology client domains. Generative AI — entry — leveraged to generate natural language reports or summaries from structured data using Python -based frameworks. Data Pipelines — entry — designed and maintained to move data from source to destination using AWS services and Python scripts. Cloud-based Solutions — entry — implemented to deliver scalable, secure, and automated data processing environments on AWS . When preparing your resume, emphasize specific projects , tool usage , and measurable outcomes such as model accuracy or data processing speed achieved using Python and AWS . Eligibility Criteria This role is designed for freshers and early-career candidates with a technical or engineering background and hands-on experience in Python , SQL , and AWS . Must hold a degree in Computer Science, Engineering, or a related technical field with a minimum CGPA of 6.0 or equivalent. Must belong to eligible batches: 2022, 2023, 2024, or 2025 . Experience requirement is 0–2 years , including academic projects, internships, or technical coursework. Must demonstrate practical exposure to Python , SQL , and AWS through personal or academic projects. Must have a portfolio showcasing data analysis, machine learning , or cloud-based data solutions built with Python and AWS . Documentation & Portfolio Requirements Your resume must include a clear section on technical projects with tool names , data sources , and measurable outcomes such as accuracy, processing time, or error rate. For this role, prioritize including a GitHub link or project documentation that shows Python scripts, SQL queries, and AWS deployment steps — not just descriptions. Specificity in tool usage is critical for selection. Salary for Associate Data Science & Engineering - Data & Analytics Advisory at PwC 💰 Compensation Not Disclosed The advertised compensation for the Associate Data Science & Engineering - Data & Analytics Advisory role at PwC is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Associate Data Science & Engineering - Data & Analytics Advisory Upskilling with the right resources significantly enhances your chances of selection for this role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for algorithm development and data manipulation in this role. SQL — Crucial for data management and querying databases effectively. AWS — Important for understanding cloud-based solutions and deployment. Machine Learning — Key for developing predictive models and analytics. KodNest — Provides practical experience in data science projects and challenges. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — Include relevant projects showcasing your skills. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job posting. ❌ Listing technologies like AWS without details — Explain their application in past projects or experiences. ❌ Ignoring qualification requirements — Ensure you meet the specified criteria to avoid disqualification. ❌ Adding unrelated technologies — Stick to relevant skills to enhance your application. ❌ Failing to verify the official Apply URL — Always check the link before submission to avoid errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting your application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Associate Data Science & Engineering - Data & Analytics Advisory Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Python SQL AWS Machine Learning Deep Learning Generative AI Data Pipelines Cloud-based Solutions Data Analytics Business Intelligence Statistical Analysis Algorithm Development Resume Tips for This Role Highlight Python as a key skill, as it is essential for algorithm development. Emphasize experience with SQL and AWS , as they are critical for data management and cloud solutions. Showcase a project that involved machine learning or data analytics to demonstrate relevant experience. Use keywords from the job description naturally to align with ATS requirements without keyword stuffing. Avoid including unsupported technologies or claims that cannot be substantiated in your application. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated work experience or unsupported claims in your resume for this role. How to Apply for Associate Data Science & Engineering - Data & Analytics Advisory at PwC Apply Now — PwC Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job description. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the date of submission and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — PwC NexisGrow.com does not charge any fees for job applications. PwC PwC is a technology firm based in Kolkata, India, offering onsite data and analytics advisory services. This role sits within the Data & Analytics Advisory domain, focusing on advanced data solutions for client operations and strategic goals. The team designs and builds machine learning , deep learning , and generative AI models using Python , SQL , and AWS . They develop scalable data pipelines and cloud-based solutions to support AI/ML workflows, enabling data-driven insights for clients. This role provides early-career exposure to Generative AI , machine learning , and cloud-based analytics through hands-on work with Python , AWS , and data pipelines . It offers foundational experience in real-world AI and data engineering applications. Company Details Industry Technology Location Kolkata, India Connect With Us Careers Apply Now Website 🔗 pwc.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and those from the eligible batches of 2022, 2023, 2024, and 2025 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills include Python, SQL, AWS, Machine Learning, and Deep Learning. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available in the job data. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Study machine learning concepts. 3. Prepare examples of data analytics projects. 4. Familiarize yourself with AWS services. 5. Practice problem-solving scenarios relevant to data science. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Kolkata. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced analytics, machine learning, and cloud-based solutions, enhancing career development in data science. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, and AWS, along with any relevant projects or experiences in data analytics and machine learning. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The work environment involves collaboration with engineers and business stakeholders to drive data-driven insights. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers are eligible to apply as the experience requirement is 0-2 years. 🔗 Explore More on NexisGrow More jobs in Kolkata Browse all Tech jobs More jobs at PwC Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com