IN_Senior Associate_Data Scientist_Data and Analytics_Advisory_Bangalore

Job description

**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. Those in artificial intelligence engineering at PwC will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. \\* 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:** We are hiring **Data Scientists** across multiple specialization tracks to build **data** ‑ **driven, ML** ‑ **powered solutions** that deliver **measurable business impact** . Depending on the role, you will work across **modeling, deployment, visualization, AI systems, or user experience** while partnering closely with **engineering, product, and business teams** . Mandatory Skill : Data Science & Agentic AI **Responsibilities** **:** - Work with **structured, semi** ‑ **structured, and unstructured data** - Perform **data cleaning, transformation, feature engineering, and integration** - Build and validate **statistical and machine learning models** - Apply techniques such as: - **Regression, Classification, Clustering** - **Time Series Forecasting** - Design and analyze **experiments** (A/B testing, hypothesis testing) - Write **clean, modular, production** ‑ **quality code** - Follow best practices ( **Git, code reviews, documentation** ) - Communicate insights through **presentations, reports, and dashboards** - Partner with **business, engineering, and product** stakeholders **Specialization Tracks (Any One or More)** **1. Data Science +** **MLOps** - Focus on **productionizing and scaling ML models** - Deploy models using **Docker** , **APIs (Flask/** **FastAPI** **)** , or cloud services - Build and maintain **ML pipelines** - Implement **model monitoring** , **performance tracking** , and **retraining strategies** - Work with **CI/CD** , **Airflow** , **Databricks** , or **cloud platforms** (AWS/Azure/GCP) - Ensure **model reliability, scalability, and governance** 2. Data Science + Agentic AI ( Mandatory ) - Focus on **LLM** ‑ **powered and autonomous AI systems** - Build **Agentic AI workflows** using **LLMs** - Develop **reasoning, planning, tool** ‑ **using AI agents** - Integrate **LLMs** with **enterprise data and APIs** - Apply **prompt engineering** , **RAG** , and **multi** ‑ **agent orchestration** - Evaluate and improve **AI responses, safety, and efficiency** **3. Data Science + Power BI / Tableau** - Focus on **analytics, visualization, and business intelligence** - Design **interactive dashboards** using **Power BI / Tableau** - Translate analytical models into **decision** ‑ **ready visuals** - Partner with stakeholders to define **KPIs and metrics** - Automate **reporting and analytics workflows** - Enable **self** ‑ **service analytics** for business teams **4. Data Science + UI/UX** - Focus on **data** ‑ **driven product and user experience design** - Translate complex models into **simple, intuitive user interfaces** - Collaborate with **UI/UX designers and** **front-end** **teams** - Design **data** ‑ **heavy applications** , dashboards, and workflows - Apply **user research and usability principles** to analytics products - Improve adoption of ML solutions through **better UX** **Mandatory skill set** **s:** Gen AI, RAG, LLM, NLP, AI ML **Preferred skill sets** **:** Agentic AI **Years of experience required** **:** 4-7 Years **Education qualification** **:** B.E, B.Tech, M.Tech, M.E, MCA **Education** *(if blank, degree and/or field of study not specified)* Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred: **Certifications** *(if blank, certifications not specified)* **Required Skills** Generative AI, Generative AI Agents, SAP Gen AI Hub **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosit