{"id":933883,"url":"https://alion.io/job/accenture-data-scientist-juniormidsenior","title":"Data Scientist - Junior/Mid/Senior","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":2058,"ghost_share":0.001,"stale_share":0.12,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-22T06:10:10Z"}},"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":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":90000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CrewAI","optional":true},{"name":"GDPR","optional":true},{"name":"Google ADK","optional":true},{"name":"Hugging Face","optional":true},{"name":"Hyperopt","optional":true},{"name":"Keras","optional":true},{"name":"Kubeflow","optional":true},{"name":"LangChain","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-21T03:06:20Z","board_verified":false,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable AI solutions that drive real business impact.\nContribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.\nDesign and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.\nWork in agile, cross-functional teams combining technical, business, and data science expertise.\nYour accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels.\nHERE’S WHAT YOU’LL NEED:\nEducation & Experience Requirements (Cumulative):\nMinimum Bachelor's degree in discipline like Informatics, Physics, Mathematics, Quantitative Methods.\nAt least 2 years of experience applying data-driven approaches to business scenarios, including the design and deployment of advanced analytics and machine learning algorithms.\nAt least 1 year of experience in delivering analytical projects with top Cloud platforms such as GCP, Azure, AWS.\nTechnical Skills:\nProficient in at least one of programming and query languages like Python, PySpark, SQL. \nSolid understanding of machine learning and data science techniques including:Clustering, regression, classification, forecasting\nNeural networks, hyperparameter optimization\nNatural Language Processing (NLP), Large Language Models (LLMs)\n\nOther Skills:\nAbility to translate complex business requirements into robust, data-driven solutions.\nStrong appetite for continuous learning and skill development in emerging AI technologies.\nProfessional working proficiency in English.\nResearch indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.\nBonus Points If You Have:\nAdvanced Technical Expertise\nExperience with frameworks like XGBoost, lgbm, Prophet, Hyperopt, Keras, PyTorch, TensorFlow, sklearn, LangChain, CrewAI, Open AI API, Hugging Face Transformers or Google ADK.\nExperience with generative AI or agentic AI technologies\nTools & Platforms\nHands-on experience with Databricks\nFamiliarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow\nCloud and AI certifications such as:\nAzure Data Science Associate\nAzure AI Engineer\nGoogle Cloud Professional Data Engineer\nGoogle Cloud Data Analytics Professional\nDatabricks ML Professional\nWorking Conditions:\nLocation: Our headquarters is in Warsaw, with an additional office in Kraków.\n Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.\nHybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences.\nWHAT WE OFFER:\nCareer Development\nPermanent employment contract\nIndividual support from a dedicated People Lead\nPersonalized professional development path\nAccess to coaching sessions\nExtensive training package including:Soft skills, technical, and language training\nE-learning platforms\nGallup strengths assessment\nGenAI training\nCloud certification programs\n\nWell-being & Support\nEmployee Assistance Program offering legal, financial, and psychological consultations\nPrivate medical care and life insurance coverage\nAccess to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)\nPerks & Incentives\nPaid employee referral program\nEligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)\nWHAT WE BELIEVE:\nAccenture does not discriminate employment candidates on the basis of race, religion, colour, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.\nClicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary, also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy.\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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