{"id":2337108,"url":"https://alion.io/job/pwc-dataops-infra-security-specialists-associate","title":"Dataops + Infra + Security Specialists - Associate","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":80,"open_postings":1175,"ghost_share":0,"stale_share":0.988,"repost_share":0.001,"time_to_fill_p50_days":13,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Finance","role_family":"Finance","seniority":"junior","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":{"min_usd":11500,"max_usd":22000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-12T10:09:47Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T14:51:38Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Industry/Sector\nNot ApplicableSpecialism\nData, Analytics & AIManagement Level\nAssociateJob 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 a Dataops + Infra + Security Specialists - Associate you will support data and analytics engineering work within our Data, Analytics & AI practice, helping design and develop data solutions that turn raw data into usable insights for client needs. As an Associate you will focus on learning, contributing to project tasks, adapting to varied client and team settings, asking questions, and taking ownership of quality work while building your professional brand.\nIn this role at PwC, you will contribute to exploratory and descriptive analysis, statistical modeling, data visualization, and technical tasks across data operations, infrastructure, and security topics. You will use a learning mindset, gather information from multiple sources, interpret patterns, and apply professional and technical standards while developing commercial awareness and a deeper understanding of how the work supports broader business objectives.\nResponsibilities\n- Supporting data science and data engineering work across client projects, with a focus on data operations, infrastructure, and security practices\n- Building and maintaining data pipelines, data lakes, and data models that support exploratory analysis, statistical modeling, and visualization\n- Applying programming languages, machine learning tools, and AI-enabled methods to prepare data for analysis and model development\n- Running data quality checks, troubleshooting workflow issues, and identifying patterns that affect model performance or data reliability\n- Assisting in the development of predictive models, deep learning solutions, and natural language processing use cases\n- Gathering information from multiple sources to support analysis, interpret findings, and communicate clear observations to team members\n- Adapting to changing project needs and taking ownership of assigned tasks across varied client environments\n- Upholding professional and technical standards while developing skills in data science, data engineering, and digital tooling\nWhat You Must Have\n- At least a Bachelor's degree\n- At least 2 years of experience\n- Oral and written proficiency in English required\nWhat Sets You Apart\n- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering\n- Developing experience with data engineering, dataops, or infrastructure support\n- Applying machine learning, data science, or data pipeline concepts in project settings\n- Using programming languages, statistical analysis, or data modeling tools\n- Gathering facts from multiple sources and analyzing patterns\n- Communicating ideas clearly, asking questions, and seeking feedback\n- Infrastructure Management - 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