[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-internship-data-scientist-wm-allianz-insurance-de-global":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":73,"processed_longitude":74,"processed_employment_types":75,"processed_working_hours":76,"processed_working_hours_labels":78,"processed_home_office":79,"processed_salary_min":70,"processed_salary_max":71,"processed_salary_currency":67,"processed_salary_source":80,"processed_benefits":81,"processed_benefits_labels":85,"processed_industry":86,"processed_skills":7,"processed_job_location":87,"processed_full_address_gmaps":89,"processed_street_gmaps":91,"processed_city_gmaps":92,"processed_postal_code_gmaps":93,"processed_country_gmaps":94,"processed_country_iso_code_gmaps":96,"full_description":17,"formatted_description":97,"processed_employment_types_labels":36,"processed_home_office_labels":34,"processed_industry_labels":38,"processed_it_skills":98,"processed_it_skills_labels":101,"processed_soft_skills":102,"processed_soft_skills_labels":104,"processed_job_expertise_skills":105,"processed_job_expertise_skills_labels":106,"processed_language_requirements":107,"processed_total_experience_years":114,"processed_professional_field":115,"processed_professional_field_labels":117,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":118,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":86,"canonical_industry_label":38,"max_cpc":119,"actual_cpc":7},81879,"internship-data-scientist-wm-allianz-insurance","INTERNSHIP - DATA SCIENTIST (W\u002FM)",null,{"name":9,"slug":10,"logo_url":11},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",false,true,{"@context":15,"@type":16,"title":6,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":34,"employmentType":35,"industry":37,"skills":39,"baseSalary":65},"https:\u002F\u002Fschema.org\u002F","JobPosting","\u003Cdiv style=\"text-align: justify;\">\u003Cdiv>\u003Cdiv> \u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">\u003Cstrong>About the Role:\u003C\u002Fstrong> \u003C\u002Fspan>\u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\">\u003Cbr>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Part of the Allianz Group, Allianz Trade is the global leader in trade credit insurance. For more than 10 years, the Group Data Analytics department has been conducting advanced data analysis and building data science and machine learning models that power the company's core processes: risk assessment, pricing, underwriting, claims management and collection.\u003C\u002Fspan>\u003Cbr>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">As an insurance company dedicated to global trade, Allianz Trade is the perfect playground for data science. Evaluating businesses around the world puts us at the crossroads of countless information sources, and therefore of data, models and opportunities. Today, our scope spans the full spectrum of modern AI, from classical machine learning to generative AI and agentic systems, with a strong focus on industrialization, monitoring and responsible AI in a regulated European environment (EU AI Act).\u003C\u002Fspan>\u003Cbr>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">As a data science intern, you will join a global team of 30+ data scientists, machine learning engineers and modelling experts, and contribute to our R&D, development and monitoring roadmap, working on real use cases with measurable business impact.\u003Cbr>\u003C\u002Fspan>\u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\"> \u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\">\u003Cbr>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">\u003Cstrong>Key Responsibilities:\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\"> \u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\">\u003Cul>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Contribute to the modelling, pricing, GenAI and monitoring roadmap of the department. Depending on your profile and interests, you will work on one or more assignments.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">In actuarial science and technical pricing, you may contribute to the development and refinement of our pricing models: estimating risk premiums through frequency and severity modelling, improving loss ratio and claims cost predictions, and exploring how machine learning techniques (GLM\u002FGAM extensions, gradient boosting, calibration methods) can complement traditional actuarial approaches in trade credit insurance.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">In agentic AI development, you may design, prototype and evaluate LLM-based agents and multi-agent workflows (tool use, RAG, orchestration) for business use cases such as underwriting support, bond management or document processing.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">In GenAI monitoring and evaluation, you may build state-of-the-art tooling to track generative AI use cases in production: usage analytics, output quality evaluation, drift and hallucination detection, cost and performance dashboards.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">In ML model monitoring, you may strengthen the monitoring of our machine learning and pricing model portfolio by automating performance reviews, data-drift analyses and reporting pipelines.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">In applied R&D, you may benchmark emerging techniques (new foundation models, fine-tuning, evaluation frameworks, agent protocols) and assess their relevance for Allianz Trade, from proof of concept to production readiness.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">\u003Cstrong>Profile\u002FRequired Skills:\u003C\u002Fstrong> \u003Cbr>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cul>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Data Science skills:\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"padding-left: 40px;\">\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Python (good knowledge is a plus, willingness to learn more is mandatory)\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Data science & machine learning algorithms and best practices\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Standard Python data science libraries (Pandas, scikit-learn, Matplotlib)\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Exposure to generative AI \u002F LLM frameworks (RAG, agents, evaluation) is a plus\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Basics of Git and SQL are a plus\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Background in statistics or actuarial science (GLM, frequency\u002Fseverity modelling) is a plus for pricing assignments\u003Cbr>\u003Cbr>\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Other skills:\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"padding-left: 40px;\">\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Willingness to learn new stuff each and every day\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Curiosity\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Autonomy to propose solutions to technical or business problems faced\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Ability to transpose a business issue into a modelling issue (and vice versa)\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">- Good communication skills in English, for both technical and business audiences\u003C\u002Fspan>\u003C\u002Fp>\u003Cbr>\u003Cbr>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">As a leader in the trade credit insurance market, Allianz Trade relies on innovative technologies to support its business. We leverage Artificial Intelligence (AI)-powered tools and welcome candidates who have a basic understanding of commonly used AI platforms, as well as a strong awareness of AI-related best practices and challenges in a professional environment.\u003C\u002Fspan>\u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\"> \u003C\u002Fdiv>\u003Cdiv style=\"text-align: justify;\"> \u003C\u002Fdiv>\u003Cp style=\"text-align: justify;\">\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">#Paris\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">#France\u003C\u002Fspan>\u003Cbr>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">#LI-JM1\u003C\u002Fspan>\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003Cp>107315 | Data & AI | Student | n.a. | Allianz Trade | Full-Time | Temporary\u003C\u002Fp> \u003Cp style=\"text-align: justify;\"> \u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Headquartered in Paris, Allianz Trade is the global leader in trade credit insurance and a recognized specialist in the areas of surety, collections, structured trade credit and political risk, present in over 40 countries with 5,900 employees.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif;\">In 2025, our revenues reached 4 billion euros, and we guaranteed 1,400 billion euros of trade transactions worldwide. With sustainability, collaboration, and inclusion at the heart of our values, our workplace culture has earned global recognition — demonstrated by our certification as a Great Place to Work and a Gold Medal from EcoVadis in 2025.\u003C\u002Fspan>\u003C\u002Fp>",{"@type":19,"name":9},"Organization","2026-10-10","2027-10-10",[23],{"@type":24,"address":25,"geo":30},"Place",{"@type":26,"addressLocality":27,"addressCountry":28,"addressRegion":29},"PostalAddress","Paris","FR","Île-de-France",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",48.8575475,2.3513765,"ONSITE",[36],"STUDENT",[38],"Insurance",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64],"Python","Pandas","scikit-learn","Matplotlib","Git","SQL","Generative AI \u002F LLM frameworks (RAG, agents, evaluation)","Willingness to learn","Curiosity","Autonomy","Communication","Problem-solving","Data Science","Machine Learning","Statistics","Actuarial Science","Pricing Models","Frequency and Severity Modelling","GLM\u002FGAM","Gradient Boosting","Calibration Methods","Agentic AI Development","GenAI Monitoring and Evaluation","ML Model Monitoring","Applied R&D",{"@type":66,"currency":67,"value":68},"MonetaryAmount","EUR",{"@type":69,"minValue":70,"maxValue":71,"unitText":72},"QuantitativeValue",18000,24000,"YEAR",[32],[33],"student",[77],"FULL_TIME",[77],"onsite","estimated",[82,83,84],"Certified as a Great Place to Work","Gold Medal from EcoVadis in 2025","Workplace culture focused on sustainability, collaboration, and inclusion",[82,83,84],"insurance",[88],"allianz, paris la défense cedex, france",[90],"Paris, Frankreich",[],[27],[],[95],"Frankreich",[28],"**About the Role:**\n\nPart of the Allianz Group, Allianz Trade is the global leader in trade credit insurance. For more than 10 years, the Group Data Analytics department has been conducting advanced data analysis and building data science and machine learning models that power the company's core processes: risk assessment, pricing, underwriting, claims management and collection.\n\nAs an insurance company dedicated to global trade, Allianz Trade is the perfect playground for data science. Evaluating businesses around the world puts us at the crossroads of countless information sources, and therefore of data, models and opportunities. Today, our scope spans the full spectrum of modern AI, from classical machine learning to generative AI and agentic systems, with a strong focus on industrialization, monitoring and responsible AI in a regulated European environment (EU AI Act).\n\nAs a data science intern, you will join a global team of 30+ data scientists, machine learning engineers and modelling experts, and contribute to our R&D, development and monitoring roadmap, working on real use cases with measurable business impact.\n\n**Key Responsibilities:**\n\n- Contribute to the modelling, pricing, GenAI and monitoring roadmap of the department. Depending on your profile and interests, you will work on one or more assignments.\n- In actuarial science and technical pricing, you may contribute to the development and refinement of our pricing models: estimating risk premiums through frequency and severity modelling, improving loss ratio and claims cost predictions, and exploring how machine learning techniques (GLM\u002FGAM extensions, gradient boosting, calibration methods) can complement traditional actuarial approaches in trade credit insurance.\n- In agentic AI development, you may design, prototype and evaluate LLM-based agents and multi-agent workflows (tool use, RAG, orchestration) for business use cases such as underwriting support, bond management or document processing.\n- In GenAI monitoring and evaluation, you may build state-of-the-art tooling to track generative AI use cases in production: usage analytics, output quality evaluation, drift and hallucination detection, cost and performance dashboards.\n- In ML model monitoring, you may strengthen the monitoring of our machine learning and pricing model portfolio by automating performance reviews, data-drift analyses and reporting pipelines.\n- In applied R&D, you may benchmark emerging techniques (new foundation models, fine-tuning, evaluation frameworks, agent protocols) and assess their relevance for Allianz Trade, from proof of concept to production readiness.\n\n**Profile\u002FRequired Skills:**\n\n- Data Science skills:\n\n- Python (good knowledge is a plus, willingness to learn more is mandatory)\n- Data science & machine learning algorithms and best practices\n- Standard Python data science libraries (Pandas, scikit-learn, Matplotlib)\n- Exposure to generative AI \u002F LLM frameworks (RAG, agents, evaluation) is a plus\n- Basics of Git and SQL are a plus\n- Background in statistics or actuarial science (GLM, frequency\u002Fseverity modelling) is a plus for pricing assignments\n\n- Other skills:\n\n- Willingness to learn new stuff each and every day\n- Curiosity\n- Autonomy to propose solutions to technical or business problems faced\n- Ability to transpose a business issue into a modelling issue (and vice versa)\n- Good communication skills in English, for both technical and business audiences\n\nAs a leader in the trade credit insurance market, Allianz Trade relies on innovative technologies to support its business. We leverage Artificial Intelligence (AI)-powered tools and welcome candidates who have a basic understanding of commonly used AI platforms, as well as a strong awareness of AI-related best practices and challenges in a professional environment.\n\n#Paris\n#France\n#LI-JM1\n\n107315 | Data & AI | Student | n.a. | Allianz Trade | Full-Time | Temporary\n\nHeadquartered in Paris, Allianz Trade is the global leader in trade credit insurance and a recognized specialist in the areas of surety, collections, structured trade credit and political risk, present in over 40 countries with 5,900 employees.\n\nIn 2025, our revenues reached 4 billion euros, and we guaranteed 1,400 billion euros of trade transactions worldwide. 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