Qureos Mentor

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Data Scientist

<div>
 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.
 
 
 
 Years of Experience:
 
 Candidates with 12+ years of hands on experience
 
 
 
 Position:
 
 Senior Manager
 
 
 
 Industry:
 
 Supply Chain/Forecasting/Financial Analytics
 
 
 
 Required Skills:
 
 Successful candidates will have demonstrated the following skills and characteristics:
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design
 </li>
 <li>
 Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage
 </li>
 <li>
 Proficiency in forecasting techniques (e.g., Holt-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)
 </li>
 <li>
 Possesses strong knowledge of statistics, including statistical tests and distributions.
 </li>
 <li>
 Possesses a strong understanding of data preparation and analysis, including exploratory data analysis, data preparation, and feature engineering.
 </li>
 <li>
 Demonstrates deep expertise in various algorithms, including traditional, ensemble, and deep learning algorithms
 </li>
 <li>
 Hands-on experience with machine learning frameworks: scikit-learn, H2O, TensorFlow, PyTorch, MLlib, etc.
 </li>
 <li>
 Strong programming proficiency in Python/PySpark/Scala, SQL
 </li>
 <li>
 Experience in cloud-based model deployment (Azure ML, Azure Databricks, GCP Vertex AI, AWS SageMaker)
 </li>
 <li>
 Familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools (e.g., Airflow)
 </li>
 <li>
 Strong presentation and stakeholders' communication
 </li>
 <li>
 Experience building impactful dashboards using Power BI, Tableau, AWS QuickSight
 </li>
 <li>
 Strong communication and stakeholder engagement skills at the executive level
 
 
 </li>
 </ul>
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Develop and execute project and analysis plans, collaborating closely with Project Managers for optimal outcomes.
 </li>
 <li>
 Serve as a subject matter expert, advising US-based consultants and clients on data formalization and use case clarity.
 </li>
 <li>
 Utilize advanced analytics tools to drive and conduct comprehensive analyses while coaching junior team members.
 </li>
 <li>
 Implement stringent quality control measures to ensure the integrity and accuracy of deliverables.
 </li>
 <li>
 Validate analysis outcomes and recommendations with stakeholders, including client teams, to align expectations.
 </li>
 <li>
 Craft compelling storylines and presentations for both client teams and project leadership to convey insights effectively.
 </li>
 <li>
 Lead strategic analytics programs from vision to execution, ensuring alignment with business objectives and impact.
 </li>
 <li>
 Act as a thought partner to clients, guiding analytics strategy, roadmap development, and transformation initiatives.
 </li>
 <li>
 Translate complex business challenges into structured analytical solutions using statistical and machine learning techniques.
 </li>
 <li>
 Collaborate across technology, operations, and business consulting teams to ensure seamless integrated delivery.
 
 
 </li>
 </ul>
 
 Professional And Educational Background
 
 
 
 BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master&rsquo;s Degree /MBA from reputed institute
</div>

Supply Chain - Data Scientist ,Cloud- Senior Manager

Join PwC Acceleration Center India and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

PwC Acceleration Center India

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Data Scientist

Supply Chain - Data Scientist ,Cloud- Senior Manager