{"id":196140,"url":"https://alion.io/job/accenture-ai-data-scientist","title":"AI Data Scientist","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":2085,"ghost_share":0.001,"stale_share":0.141,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Plotly","optional":true},{"name":"Power BI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-03T11:59:36Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-27T05:29:55Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":53},"description":"About the Role\nWe are looking for an Enterprise AI & Data Science Analyst to join our Strategy & Consulting - Data & AI team. This role is ideal for someone who is passionate about artificial intelligence, data science, analytics, and transforming data into business value.\nAs part of our multidisciplinary AI team, you will work alongside data scientists, AI engineers, strategists, and industry experts to help clients solve complex business challenges using data and AI. You will support the development of analytical models, AI solutions, and insights that drive innovation and measurable outcomes across industries.\nWhat You Will Do\nAs an Enterprise AI & Data Science Analyst, you will:\nSupport the design, development, and deployment of AI, machine learning, and analytics solutions.\n\nAnalyse structured and unstructured data to uncover business insights and opportunities.\n\nAssist in building predictive models, machine learning algorithms, and data-driven solutions.\n\nHelp prepare, clean, and transform data for advanced analytics and AI applications.\n\nContribute to the evaluation and testing of AI models, ensuring quality and performance.\n\nCollaborate with business stakeholders to understand requirements and translate them into analytical solutions.\n\nSupport the development of dashboards, visualisations, and reports that communicate insights effectively.\n\nWork with AI, cloud, and data platforms to develop scalable solutions.\n\nStay up to date with emerging trends in AI, Generative AI, machine learning, and data science.\n\nWho You Are\nYou are curious, analytical, and passionate about using data and AI to solve real-world business problems. You enjoy learning new technologies, working with data, and collaborating with diverse teams.\nYou may have gained experience through:\nUniversity coursework, research projects, internships, or graduate programmes focused on data science, analytics, AI, or software development.\n\nAcademic projects involving machine learning, predictive analytics, data visualisation, or statistical modelling.\n\nExposure to cloud technologies, programming, or data engineering concepts.\n\nMust-Have\nBachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Physics, Economics, or a related field.\n\nStrong analytical and problem-solving skills.\n\nBasic programming experience in Python, R, SQL, or similar technologies.\n\nUnderstanding of data analysis, statistics, and machine learning fundamentals.\n\nAbility to communicate technical findings to both technical and non-technical audiences.\n\nStrong teamwork and collaboration skills.\n\nFluency in English (Nordic language skills are an advantage for local roles).\n\nNice-to-Have\nExperience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.\n\nFamiliarity with data visualisation tools such as Power BI, Tableau, or Plotly.\n\nExposure to cloud platforms such as Azure, AWS, or Google Cloud.\n\nKnowledge of Generative AI, Large Language Models (LLMs), or prompt engineering.\n\nExperience working with SQL databases, data pipelines, or big data technologies.\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\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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