{"id":3522855,"url":"https://alion.io/job/nestle-knowledge-engineering-intern","title":"Knowledge Engineering Intern","company":{"id":447067,"name":"Nestlé","domain":"nestle.com","url":"https://alion.io/company/nestle-7","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":100,"open_postings":39,"ghost_share":0,"stale_share":0.077,"repost_share":0.051,"time_to_fill_p50_days":18,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Lausanne, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":74000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Knowledge Graph","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-10-30T12:53:14Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T00:22:33Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Location: Lausanne, Switzerland\nContract type / duration: Internship - 6 months\nActivity rate: 100%\nStart date: February / March 2027\n\nBe a force for good and transform your potential into something extraordinary.\n\nAs a Knowledge Engineering Intern at Nestlé Research, your mission will be to explore and assess ontologies, vocabularies and knowledge models related to chemical contaminants, with a particular focus on food safety.\nYou will join the Institute of Food Safety and Analytical Sciences and work at the intersection of data science, knowledge representation and domain modelling. By collaborating with domain scientists and computational specialists, you will help establish reusable semantic foundations that improve data harmonisation, interoperability and knowledge management.\nThis internship offers an opportunity to combine research, technical development and scientific collaboration while gaining practical experience with semantic technologies and their application to chemical and food safety data.\n\nHow you’ll make an impact as aKnowledge EngineeringIntern\n\nReview state-of-the-art ontologies, vocabularies and knowledge graphs related to chemical contaminants and food safety, and assess relevant publicly available standards and semantic frameworks\nEvaluate how external semantic resources can be reused, extended or mapped to internal data models, business concepts and analytical needs\nIdentify gaps in existing knowledge models by collaborating with domain scientists and propose approaches to improve data harmonisation and interoperability\nDevelop proof-of-concept tools for selected ontology-driven use cases using appropriate programming and semantic web technologies\nDocument your findings and present clear, evidence-based recommendations on how semantic resources could support future knowledge management initiatives\n\nWhat will make you successful\n\nStudent or recent graduate from a Bachelor or Master degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or a related field\nStrong Python programming and data-processing skills, with the ability to develop structured and reusable technical solutions\nFamiliarity with semantic web technologies such as RDF, RDFS, OWL and SPARQL, as well as knowledge graphs, ontology engineering, linked data or data modelling concepts is a strong plus\nInterest in applying data science and knowledge engineering to chemical, food safety or food quality topics; experience working in Unix or Linux environments is an advantage\nStrong analytical, problem-solving and communication skills, with curiosity, autonomy and a collaborative mindset\nFluency in English (written & spoken)\n\nAt Nestlé Research, we use science, technology and collaboration to address complex challenges and contribute to the development of safe, high-quality food and nutrition solutions.\n\nOur benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:\nLearning and development opportunities to grow your career\nHealthcare contribution and access to the Employee Assistance Program\nAttractive employee discounts across various products and services\n\nWhat to expect from our hiring process\n\nWe are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodation if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.\nThe hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and may close the role once a strong list of relevant candidates has been identified, so we encourage you to apply early. All information is treated confidentially.\n\nReady to start your career journey with us?\n\nApply now and transform your potential into something extraordinary.\nLocation: Lausanne, Switzerland\nContract type / duration: Internship - 6 months\nActivity rate: 100%\nStart date: February / March 2027\n\nBe a force for good and transform your potential into something extraordinary.\n\nAs a Knowledge Engineering Intern at Nestlé Research, your mission will be to explore and assess ontologies, vocabularies and knowledge models related to chemical contaminants, with a particular focus on food safety.\nYou will join the Institute of Food Safety and Analytical Sciences and work at the intersection of data science, knowledge representation and domain modelling. By collaborating with domain scientists and computational specialists, you will help establish reusable semantic foundations that improve data harmonisation, interoperability and knowledge management.\nThis internship offers an opportunity to combine research, technical development and scientific collaboration while gaining practical experience with semantic technologies and their application to chemical and food safety data.\n\nHow you’ll make an impact as aKnowledge EngineeringIntern\n\nReview state-of-the-art ontologies, vocabularies and knowledge graphs related to chemical contaminants and food safety, and assess relevant publicly available standards and semantic frameworks\nEvaluate how external semantic resources can be reused, extended or mapped to internal data models, business concepts and analytical needs\nIdentify gaps in existing knowledge models by collaborating with domain scientists and propose approaches to improve data harmonisation and interoperability\nDevelop proof-of-concept tools for selected ontology-driven use cases using appropriate programming and semantic web technologies\nDocument your findings and present clear, evidence-based recommendations on how semantic resources could support future knowledge management initiatives\n\nWhat will make you successful\n\nStudent or recent graduate from a Bachelor or Master degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or a related field\nStrong Python programming and data-processing skills, with the ability to develop structured and reusable technical solutions\nFamiliarity with semantic web technologies such as RDF, RDFS, OWL and SPARQL, as well as knowledge graphs, ontology engineering, linked data or data modelling concepts is a strong plus\nInterest in applying data science and knowledge engineering to chemical, food safety or food quality topics; experience working in Unix or Linux environments is an advantage\nStrong analytical, problem-solving and communication skills, with curiosity, autonomy and a collaborative mindset\nFluency in English (written & spoken)\n\nAt Nestlé Research, we use science, technology and collaboration to address complex challenges and contribute to the development of safe, high-quality food and nutrition solutions.\n\nOur benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:\nLearning and development opportunities to grow your career\nHealthcare contribution and access to the Employee Assistance Program\nAttractive employee discounts across various products and services\n\nWhat to expect from our hiring process\n\nWe are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodation if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.\nThe hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and may close the role once a strong list of relevant candidates has been identified, so we encourage you to apply early. All information is treated confidentially.\n\nReady to start your career journey with us?\n\nApply now and transform your potential into something extraordinary.","description_format":"text","description_chars":7935,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Dairy Products","Pet Food, Supplies & Care","Confectionery","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-10-30T12:53:14Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:3","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/nestle-knowledge-engineering-intern","json_url":"https://alion.io/job/nestle-knowledge-engineering-intern.json","meta":{"generated_at":"2026-11-01T02:46:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4178,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":447067},"rest":"https://alion.io/mcp/rest/get_company?id=447067"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnestle-knowledge-engineering-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnestle-knowledge-engineering-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnestle-knowledge-engineering-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nestle-knowledge-engineering-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnestle-knowledge-engineering-intern"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3522855}},{"tool":"search_jobs","arguments":{"company":"nestle.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3522855},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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