Generative AI Data Science Engineer-Senior Associate
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Monthly Salary:
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
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.
Exp 5 yrs
PwC US - Acceleration Center isseekinga highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science with a focus on GenAI technologies andpossessa solid understanding of statistical analysis machine learning data visualization and application programming.
Responsibilities:
- Collaborate with product engineering and domain experts toidentifyhigh-impact GenAI opportunities and create actionable road maps.
- Design build and iterate on GenAI and Agentic AI solutions end-to-end encompassing agent architecture and orchestration tool and memory integration goal-directed planning and execution analytical model development prompt engineering robust testing CI/CD and full-stack integration.
- Process structured and unstructured data for LLM workflows by applying vectorization and embedding intelligent chunking RAG pipelines generative SQL creation and validation scalable connectors for databases and APIs and rigorous data-quality checks.
- Validate and evaluate modelsRAGsand agents through quantitative and qualitative metrics perform error analysis and drive continuous performance tuning.
- Containerize and deploy production workloads on Kubernetes and leading cloud platforms (Azure AWS GCP).
- Communicate findings and insights via dashboards visualizations technical reports and executive-level presentations.
- Stay current with GenAI advancements and champion innovative practices across the organization.
Requirements:
- 1-2 years of hands-on experience delivering GenAI solutions complemented by 3-5 years of deploying machine learning solutions in production environments.
- Strongproficiencyin Python including object-oriented programming (OOP)and SQL
- Hasproficiencyin R ScalaSASandMatlab
- Proven experience with vector stores and search technologies (e.g. FAISSpgvectors Azure AI Search AWS OpenSearch).
- Experience with LLM-backed agent frameworks includingLangChainLangGraphAutoGen andCrewAI as well as RAG patterns.
- Expertise indata preprocessing feature engineering and statistical experimentation.
- Competence with cloud services across Azure AWS or Google Cloud including Kubernetes and Docker.
- Solid grasp of Git workflows automated testing (unit integration end-to-end) and CI/CD pipelines.
- Proficiencyin data visualization and storytelling for both technical and non-technical audiences.
- Strong problem-solving skills collaborative mindset and ability to thrive in a fast-paced environment.
Nice to Have Skills:
- Experience developing and deploying machine learning applications in production environments.
- Understanding data privacy and compliance regulations.
- Experience in implementing Model Context Protocol (MCP) and agent-to-agent (A2A) communication patterns for structured context passing and inter-agent coordination.
- Hands-on experience with fine-tuning and quantization of LLMs using methods likeLoRAQLoRA and PEFT along with tools such as Hugging Face Transformers andbitsandbytesfor efficient training and inference.
- Hands-on experience with leading agent orchestration platforms such asAgentspace(Google)Agentforce(Salesforce) and Mosaic AI (Databricks).
- Proven experience in chatbot design and development including conversational flow intent recognition and backend integration.
- Practical knowledge of ML/DL frameworks such as TensorFlowPyTorch and scikit-learn.
- Proficient in object-oriented programming with languages such as Java C or C#.
- Experience in Spark/Hadoop is preferred
Educational Background:
- BE / MCA / Degree/MBA/ Any degree
Preferred Qualifications:
- Relevant certifications in GenAI tools and technologies Cloud.
- Having finance background or experience working with Finance or Banking domain
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
