{"id":1355862,"url":"https://alion.io/job/pricewaterhousecoopers-data-scientist-3","title":"Data Scientist","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":70,"open_postings":2647,"ghost_share":0.505,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","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":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Streamlit","optional":false},{"name":"TensorFlow","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-21T16:48:09Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":65},"description":"Line of Service\nAdvisoryIndustry/Sector\nNot ApplicableSpecialism\nPlatform Engineering & ArchitectureManagement Level\nAssociateJob Description & Summary\nAbout the Role\nAs a PwC GenAIData Science Consultant, you are the linchpin between complex business challenges and cutting-edgeAI solutions, leveraginga unique combination of rigorous methodologies, advanced statistics, mathematical prowess, industry expertise, strategic consulting, and software development. Your role is multifaceted, and each day presents new opportunities to innovate and lead.\nYou will immerse yourself in the core of our clients' businesses, grasping their goals and demands, and transforming these insights into actionable data strategies through a rich understanding of business dynamics. Your journey begins with collecting and scrutinizing data, uncovering hidden patternsand generating initial insights that pave the way for hypothesis formulation.\nIn this capacity, you will engage in a transformative journey encompassing business acumen, data comprehension, and meticulous data preparation. By applying sophisticated statistical and mathematical modelingtechniques, you will develop groundbreaking models that address complex business problems. Your keen focus on precision and scalability ensures these models not only resolve issues but do so with optimalefficiency.\nBeyond model creation and validation, you play a crucial role in operationalizing these models by integrating them into applications and processes. This ensures that the solutions you architect maintaintheir strategic value throughout their lifecycle.\nYour expertisetranscends data; you will gain deep insights into business processes, mastering their intricacies to identifychallenges and design impactful solutions that drive substantial transformation. You will establishand enforce standards and policies that safeguard our clients' most critical assets, ensuring data is secure, private, accurate, accessible, and, crucially, actionable. Your proficiencyextends to data management, migration, strategic planning, change management, and navigating policy and regulatory landscapes.\nIf you are ready to harness the transformative power of data and embark on an extraordinary journey with PwC GenAI, join us. Together, we will redefine possibilities and unlock your full potential.\nRequired Skills and Experience\n5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track recordof building and maintainingclient relationships\n\nCollaborate with customers and team to identifynew AI opportunities, and build proposals and pitch materials to position PwC as a trusted partner for AI & Data transformation\n\nOrganize and lead educational and ideation AI and Generative AI workshops for customers\n\nUnderstand customer's needs and assess their AI maturity\n\nEvaluate and recommend appropriate AIframeworks, toolsand platforms\n\nLead AI feasibility studies and PoC projects to demonstratethe value and viability of AI solutions\n\nDevelop end to end AI PoC projects using Python, Flask, FastAPIand Streamlit\n\nHave experience in cloud services of AWS / Azure to deploy AI products\n\nCollaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements\n\nLead integration and deployment of AI solutions into customers’ existing infrastructure\n\nStay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoVon AI\n\nWork with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions\n\nIn-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversialnetworks (GANs), variational autoencoders (VAEs), etc.)\n\nGood knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch\n\nKnowledge and affinity of GenAIlibraries and tool sets included HuggingFace, LangChain, RAGAS and more\n\nExperience working with customers in different industries and understanding their specific challenges and requirements\n\nEducation (if blank, degree and/or field of study not specified)\nDegrees/Field of Study required:Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified)\nRequired Skills\nAmazon Web Services (AWS), Cloud Platform, Generative AI, Google Cloud Platform (GCP), Machine Learning (ML), Programming LanguagesOptional Skills\nAccepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}Desired Languages (If blank, desired languages not 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