{"id":2868048,"url":"https://alion.io/job/pwc-uk-ai-data-modelling-senior-associate","title":"AI Data modelling - Senior Associate","company":{"id":714797,"name":"PwC UK","domain":"pwc.co.uk","url":"https://alion.io/company/pwc-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":87,"ghost_share":0,"stale_share":0.943,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Finance","role_family":"Finance","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-24T21:21:41Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Industry/Sector\nNot ApplicableSpecialism\nFunctional & Industry TechnologiesManagement Level\nSenior AssociateJob Description & Summary\nThe Opportunity\nJoin our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.\nAs an AI Data Modeling Senior Associate you will support client service engagements by analyzing complex data, shaping data models, and turning business needs into clear technical solutions within our Business & Supply Chain Operations practice. As a Senior Associate you will manage assigned workstreams, apply critical thinking to break down complex concepts, mentor Associates and other junior team members, and build meaningful client connections while navigating ambiguity and changing priorities. In this role at PwC Acceleration Center India, you will contribute to AI-enabled modeling efforts, interpret feedback from stakeholders, uphold professional and technical standards, and help deliver data-driven deliverables that support Field Service & Operations Modernisation initiatives.\nResponsibilities\nDesign and structure data models optimized for AI/ML consumption, including embeddings, vector representations, and retrieval\naugmented generation (RAG) pipelines\nDefine schemas for structured and unstructured data feeding into LLM-based systems\nBuild and maintain data pipelines for ingestion, transformation, and normalization of source data\nCollaborate with stakeholders to map business entities into AI-ready data structures\nOptimize data storage and retrieval strategies (vector databases, knowledge graphs, relational stores) for performance and accuracy What You Must Have Bachelor’s degree in computer science, Data Science, or related field\n2-3 years of relevant development experience, with overall 4+ years of experience \nProven experience working on real-time, client-facing AI projects\nStrong hands-on expertise in AI/ML development and applied AI solutions What Sets You Apart Develop test suites and evaluation frameworks to measure model accuracy, relevance, and consistency\nDesign and implement guardrails to prevent hallucinations, prompt injection, data leakage, and unsafe outputs\nBuild automated evaluation pipelines (golden datasets, regression tests, scoring rubrics) for continuous model quality monitoring\nConduct red-teaming and adversarial testing to identify failure modes\nDefine and track key metrics (precision, recall, latency, safety compliance) across AI features\nDocument evaluation results and drive iterative improvements with engineering and product teams\nSkills: Python, Vector Databases, RAG Architecture, Embedding Models, LLM Evaluation Frameworks, Guardrails & Safety Testing, Prompt Engineering, Red-Teaming, Metrics & Performance 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