{"id":51090,"url":"https://alion.io/job/roche-d2p-data-analytics-data-scientist-rdt-erp","title":"D2P Data & Analytics Data Scientist - RDT ERP","company":{"id":13531,"name":"Roche","domain":"roche.com","url":"https://alion.io/company/roche","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":152,"ghost_share":0.013,"stale_share":0.618,"repost_share":0.046,"time_to_fill_p50_days":15,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":98000,"period":"year","method":"role_country_seniority_unknown","sample_n":211},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-02T20:49:28Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":52},"description":"At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.\nThe Position\nThe Senior IT Data Scientist is responsible for leading, developing, and implementing data-driven AI and GenAI solutions to complex business problems. This role involves independently identifying analytical opportunities, conducting in-depth data exploration and analysis, and building, testing, and deploying predictive models using various machine learning techniques. You will own projects from inception to deployment, leveraging strong programming, statistical modeling, and data visualization skills, while clearly communicating findings to both technical and non-technical stakeholders.\nDescription of the area\nThe Demand to Pay (D2P) Data & Analytics area is responsible for driving the end-to-end Procurement, Accounts Payable and Travel & Expense Management Data & AI strategies by translating Functional strategies into measurable business outcomes. We’re looking for a hands-on Full-Stack AI Developer (Generalist)to join a small, fast-moving team. This role is ideal for someone who enjoys building end-to-end products, thrives in ambiguity, and is excited about applying AI in practical, user-facing applications.\nThis role seeks a broad skillset, strong foundational knowledge, and tech stack flexibility over deep specialization. You will support Roche's Data & AI strategies by working with global platforms.\nThis position involves collaboration with key stakeholders, including Global Procurement, Diagnostics Direct Procurement, and RSS Operations.\nJob Responsibilities\nDesign, build, and ship AI-powered applications from concept to production\n\nDevelop backend services and APIs using Python\n\nBuild responsive frontend interfaces using JavaScript / TypeScript\n\nIntegrate LLMs into products for real-world use cases\n\nBuild and improve RAG pipelines, prompt workflows, and agentic AI systems\n\nWork with modern AI coding tools to accelerate development and delivery\n\nCollaborate closely with product and business stakeholders in a fast-paced environment\n\nTake ownership of features across architecture, implementation, testing, and deployment\n\nQualifications\nEducation / Experience\nA bachelor's degree in Computer Science, Software Engineering, or a related field preferred\n\nEquivalent practical experience is fully acceptable\n\nDemonstrated experience in independently identifying analytical opportunities, conducting in-depth data exploration, and owning projects from inception to deployment.\n\nProven track record of driving medium-sized projects that influence business decisions and align with strategic objectives.\n\nA strong portfolio / GitHub profile with personal projects is highly valued\n\nTechnical Skills\nStrong experience in Python backend development\n\nSolid experience with JavaScript / TypeScript frontend development\n\nComfortable working across the full stack and shipping complete features\n\nSnowflake CORTEX AI or Dataiku (Optional)\n\nAI / GenAI Experience\nPractical experience building AI-powered applications\n\nStrong understanding of:\nPrompt engineering\n\nRAG (Retrieval-Augmented Generation) pipelines\n\nLLM integrations\n\nAI agents / agentic workflows\n\nExperience with frameworks/tools such as:\nLangChain\n\nLangGraph\n\nor similar AI orchestration frameworks\n\nAI Coding Tools\nYou should actively use AI-assisted coding tools as part of your daily workflow. This is a key requirement and will significantly amplify all other capabilities.\nFor Examples:\nClaude Code\n\nOpenAI Codex\n\nCursor\n\nGitHub Copilot\n\nAdditional Qualifications\nExceptional communication skills, with the ability to present complex findings clearly to various stakeholders, including non-technical audiences.\n\nStrong collaborative capabilities to effectively engage with broader business units to understand and meet data needs.\n\nProduct-minded and pragmatic, comfortable switching between frontend, backend, and AI workflows.\n\nFast learner with strong fundamentals, Self-driven and proactive, and Enjoys working in teams with high ownership\n\nWhat you get:\nSalary range 14 175,00 - 26 325,00 PLN gross based on the employment contract.\n\nAnnual bonus payment based on your performance.\n\nDedicated training budget (training, certifications, conferences, diversified career paths etc.).\n\nRecharge Fridays (2 Fridays off per quarter available).\n\nTake time Program (up to 3 months of leave to use for any purpose).\n\nVacation subsidy available.\n\nFlex Location (possibility to perform our work from different places in the world for a certain period of time).\n\nTake Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).\n\nPrivate healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.\n\nStock share purchase additions.\n\nYearly sales of company laptops and cars and many more!\n\nApply directly and join us in shaping the future of healthcare.\nIf you feel this offer suits a friend of yours, feel free to share it.\nWant to know what it’s like to be a part of Roche IT first-hand? Check out our blog!\nhttps://careers.roche.com/global/en/we-are-roche\nThe controller of your personal data is Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warsaw. The data is processed for the purpose of recruitment. You have the right to access your data, rectify it, delete it, limit processing, transfer it and - if processing is based on your consent - withdraw this consent at any time. Contact the Data Protection Officer at: . More information on the principles of processing your personal data by Roche at the link:\nhttps://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-en.html\nRoche Polska sp. z o.o. operates in full compliance with the law and does not tolerate any violations. Roche Polska sp. z o.o. has implemented a Procedure for Reporting Violations of Law. If you wish to report any irregularities related to our activities, all necessary information regarding the reporting process can be found on our website: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen.\nAdministratorem Twoich danych osobowych jest spółka Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warszawa. Dane przetwarzane są w celu prowadzenia rekrutacji. Przysługuje Ci prawo dostępu do treści swoich danych, ich sprostowania, usunięcia, ograniczenia przetwarzania, przenoszenia oraz - w sytuacji, gdy są one przetwarzane na podstawie udzielonej zgody - cofnięcia tejże zgody w dowolnym momencie. Kontakt do Inspektora Ochrony Danych: . Więcej informacji o zasadach przetwarzania przez Roche Twoich danych osobowych pod linkiem:\nhttps://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-pl.html\nRoche Polska Sp. z o.o. działa w pełnej zgodności z przepisami prawa i nie toleruje żadnych naruszeń. W Roche Polska Sp. z o.o. obowiązuje Procedura zgłaszania naruszeń prawa. W przypadku chęci zgłoszenia nieprawidłowości związanych z naszą działalnością, wszelkie niezbędne informacje dotyczące zgłaszania naruszeń znajdują się na naszej stronie internetowej: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen.\nCompensation & Benefits\nThe expected salary range for this position, based on the primary location of Warsaw Grafit is 170’100.00 PLN - 315’900.00 PLN. Final compensation will be determined by a number of factors, including your skills, experience, qualifications, and location. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 15% subject to both individual and company performance.This position also offers an attractive benefits package.\nLearn more about how we reward our employees at Roche.\nWho we are\nA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.\nLet’s build a healthier future, together.\nRoche is an Equal Opportunity Employer.","description_format":"text","description_chars":8693,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Biotechnology","Health Care","Biologics & Biosimilars"],"lifecycle":[{"event":"open","at":"2026-08-11T00:00:00Z"},{"event":"close","at":"2026-08-31T05:49:16Z"},{"event":"reopen","at":"2026-09-29T12:59:39Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.215,"p_room":0.28,"age_days":52,"expected_fill_days":15,"reasons":["conf:12","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/roche-d2p-data-analytics-data-scientist-rdt-erp","json_url":"https://alion.io/job/roche-d2p-data-analytics-data-scientist-rdt-erp.json","meta":{"generated_at":"2026-10-03T03:15:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2942,"day_limit":5000,"remaining_today":2058,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}