Data Scientist- Sr Associate
Data Scientist- Sr Associate
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
Data ScienceManagement Level
Senior AssociateJob 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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models conducting statistical analysis and creating data visualisations to solve complex business problems.
The Opportunity
When you join PwC Acceleration Centers (ACs) you step into a pivotal role focused on actively supporting various Acceleration Center services from Advisory to Assurance Tax and Business our innovative hubs youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data Science team you will design and deliver scalable AI applications that drive business transformation. As a Senior Associate you will analyze complex problems mentor junior team members and build meaningful client connections while navigating the evolving landscape of AI and machine learning. This role offers the chance to work on innovative technologies collaborate with cross-functional teams and contribute to creative solutions that shape the future of the industry.
Responsibilities
- Design and implement scalable AI applications to facilitate business transformation
- Analyze intricate problems and propose practical solutions
- Mentor junior team members to enhance their skills and knowledge
- Establish and nurture meaningful relationships with clients
- Navigate the dynamic landscape of AI and machine learning
- Collaborate with cross-functional teams to drive innovative solutions
- Utilize advanced technologies to improve project outcomes
- Contribute to the overall strategy of the Data Science team
What You Must Have
- Bachelors Degree in Computer Science Engineering or equivalent technical discipline
- 4-9 years of experience in Data Science/ML/AI roles
- Oral and written proficiency in English required
What Sets You Apart
- Proficiency in Python and data science libraries
- Hands-on experience with Generative AI and prompt engineering
- Familiarity with cloud platforms like Azure AWS GCP
- Understanding of production-level AI systems and CI/CD
- Experience with Docker Kubernetes for ML workloads
- Knowledge of MLOps tooling and pipelines
- Demonstrated track record of delivering AI-driven solutions
Preferred Knowledge/Skills
Please reference About PwC CTIO AI Engineering
PwCsCommercial Technology and Innovation Office (CTIO)is at the forefront of emerging technology focused on building transformative AI-powered products and driving enterprise innovation. TheAI Engineeringteam 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 whats nextenabling business transformation through scalable AI/ML solutions while remaining grounded in research experimentation and engineering categories for job description details.
Role Overview
We are seeking aSenior Associate Data Science/ML/DL/GenAIto 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 teams innovation agenda. This is a hands-on technical role ideal for professionals passionate about AI-driven transformation.
Key Responsibilities
- Design develop and deploy machine learning deep learning and Generative AI solutions tailored to business use cases.
- Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
- 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.
- Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
- Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
- Collaborate in a cross-functional setup with ML engineers architects and product teams to co-develop AI solutions.
- Conduct R&D in NLP CV and multi-modal tasks and evaluate model performance with production-grade metrics.
- Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the teams work.
Required Skills & Experience
- 4 to 9 yearsof experience in Data Science/ML/AI roles.
- Bachelors degree in Computer Science Engineering or equivalent technical discipline (BE/BTech/MCA).
- Proficiency in Python and related data science libraries: Pandas NumPy SciPy Scikit-learn TensorFlow PyTorch Keras etc.
- Hands-on experience withGenerative AI including prompt engineering LLM fine-tuning and deployment.
- Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
- Strong knowledge of NLP techniques transformer architectures and text analysis.
- Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
- Understanding of production-level AI systems including CI/CD model monitoring and cloud-native architecture. (Need not develop from scratch)
- Familiarity with ML algorithms: XGBoost GBM k-NN SVM Decision Forests Naive Bayes Neural Networks etc.
- Exposure to deploying AI models via APIs and integration into larger data ecosystems.
- Strong understanding of model operationalization and lifecycle management.
- Experience with Docker Kubernetes and containerized deployments for ML workloads.
- Use of MLOps tooling and pipelines (e.g. MLflow Azure ML SageMaker etc.).
- Experience in full-stack AI applications including visualization (e.g. PowerBI ).
- Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
Education (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 Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence Big Data C Programming Language Communication Complex Data Analysis Creativity Data-Driven Decision Making (DIDM) Data Engineering Data Lake Data Mining Data Modeling Data Pipeline Data Quality Data Science Data Science Algorithms Data Science Troubleshooting Data Science Workflows Deep Learning Embracing Change Emotional Regulation Empathy 17 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
