{"id":170316,"url":"https://alion.io/job/accenture-aiml-computational-science-specialist","title":"*AI/ML Computational Science Specialist*","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2088,"ghost_share":0.001,"stale_share":0.143,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","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":["Auckland, New Zealand"],"countries":["NZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Databricks","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-28T04:21:53Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":61},"description":"Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us ataccenture.com.\nDiscover the opportunity to contribute actively and independently as a Data & AI Consultant, working with business and technical teams to turn complex data into meaningful insights and practical solutions. You will support the delivery of data and analytics initiatives across reporting, business insights, data transformation and advanced analytics, while continuing to build your expertise across modern Data & AI technologies.\nAnalyse business, operational and customer data to identify trends, patterns, performance drivers and opportunities for improvement.\n\nDevelop and maintain dashboards, reports and data visualisations to support business performance monitoring and decision-making.\n\nUse SQL and Python to extract, clean, transform and analyse data from multiple sources.\n\nDevelop and enhance data transformation and integration workflows across enterprise systems and cloud-based data environments.\n\nTranslate analytical findings into clear insights and practical recommendations for business and technical stakeholders.\n\nDevelop KPI reporting and performance measurement solutions to improve visibility of business and operational outcomes.\n\nContribute to predictive modelling, forecasting and advanced analytics activities to support data-driven decision-making.\n\nWork collaboratively with business, data, technology and governance stakeholders to understand requirements and deliver fit-for-purpose data solutions.\n\nSupport data quality, data mapping, governance and access-control activities to enable trusted and compliant use of data.\n\nIdentify opportunities to improve and automate existing reporting, analytics and data processes.\n\nContribute to project delivery through documentation, analysis, testing and stakeholder engagement.\n\nHERE'S WHAT YOU WILL NEED\nProficiency in Data Analysis & Interpretation, with experience deriving meaningful business insights from complex datasets.\n\nProficiency in SQL and experience using Python for data analysis, transformation and/or analytics.\n\nExperience developing dashboards and reporting solutions using Power BI and/or Tableau.\n\nExperience with data cleaning, transformation, ETL/ELT and data integration.\n\nExperience developing KPI reporting, business insights and performance analytics.\n\nAbility to translate complex data and analytical findings into clear insights and recommendations for stakeholders.\n\nExperience collaborating with business and technical teams to understand requirements and deliver data-driven solutions.\n\nExposure to cloud-based data platforms and modern data environments.\n\nA minimum of 1 year of relevant professional experience in data, analytics, insights or a related discipline.\n\nBachelor's degree in a relevant field of study.\n\nBONUS POINTS IF YOU HAVE\nExperience in Predictive Modelling and Analytics.\n\nExperience with Azure Data Factory, Databricks or similar cloud data technologies.\n\nExperience with enterprise data sources or platforms such as Salesforce, Workday or ServiceNow.\n\nExperience with data governance, data lifecycle management and access controls.\n\nExperience working within large or complex enterprise environments.\n\nExperience collaborating across data, engineering, product and business teams.\n\nExposure to AI & Data Strategy and emerging AI technologies.\n\nExperience using analytics to support customer, operational or product-focused business decisions.\n\nLocation: Auckland\nSalary range: NZD $100,000 - NZD $120,000\nStandard Working hours: 37.5 hours/week\nEqual Employment Opportunity Statement for Australia and New Zealand:\nAt Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.\nWe encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to  or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).\nLearn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.\n#LI-GM\n#LI_GM\n.\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement for New Zealand:\nAt Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.\nAs part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.\nWe encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email  and cite the relevant Job Number, or contact us on +61 2 9005 5000.\nLearn how Accenture protects your personal data and know your rights in relation to your personal data. 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