• Act as an enabling team for predictive intelligence and AI solutions, developing models and tools to solve internal business problems (e.g., churn, anti-fraud, lead scoring, financial projections, etc.). • Work in an integrated way with teams such as Product, Sales, Finance and Operations, translating strategic challenges into data- and algorithm-based solutions. • Contribute to the company’s AI-First strategy by promoting the use of machine learning models and AI agents in internal workflows and decision-making processes. • Use Python, SQL and machine learning libraries (e.g., Scikit-learn, XGBoost, Statsmodels, etc.) for data exploration, model development and validation. • Build solutions within Dataflash (internal data and AI platform), including predictive models and generative AI agents, using techniques such as RAG, function calling, etc. • Ensure best practices for versioning, reproducibility, performance evaluation and explainability of implemented models. • Apply Advanced Analytics techniques — statistical analysis (e.g., multivariate regression, inference, time series, hypothesis testing, causal models, A/B experimentation) — to generate insights and support strategic decisions.

Role Description Vous assurez l'instruction, le suivi et la gestion des conventions ouvrant droit à l'Aide personnalisée au logement (APL), conclues entre les bailleurs et l'Etat. Ces conventionnements concernent à la fois des logements neufs et des logements existants. - Accompagner les bailleurs pour la préparation de leurs dossiers et la compréhension des procédures - Instruire les conventions en application du code de la construction et de l'habitation et si nécessaire les faire publier ainsi que leurs avenants par le service de la publicité foncière - Assurer le suivi réglementaire et administratif des conventions (résiliations, avenants, etc.) - Rédiger et envoyer les courriers relatifs aux missions du poste - Compléter la base de données informatisée de suivi des conventions APL (SIAP/APILOS) Vous êtes placé sous l'autorité hiérarchique du/de la chef/fe de l'unité Suivi des Bailleurs Sociaux. Les agents en charge de l'instruction des conventions ayant les mêmes missions, ils/elles sont appelé(e)s à travailler en complémentarité (partage d'expérience, entraide sur certains dossiers compliqués, etc.) et à assurer chacun(e) l'intérim des autres, en tant que de besoin. Relations étroites et quotidiennes avec l'ensemble des agents de l'unité Suivi des Bailleurs Sociaux. Relations régulières avec l'ensemble des unités du service habitat et rénovation urbaine, particulièrement avec les instructeurs du financement des opérations de logements sociaux. Relations régulières avec les bailleurs locatifs sociaux présents dans les Yvelines, la direction départementale de l'emploi, du travail et des solidarités et le Service de la Publicité Foncière. Relations plus ou moins régulières avec les collectivités publiques locales (communes, EPCI, etc.) du département, la direction régionale et interdépartementale de l'hébergement et du logement, et les autres services préfectoraux des Yvelines. Qualifications - Connaissance à acquérir du domaine de l'habitat et notamment du logement social - Maîtrise des logiciels OpenOffice (Calc, Writer) ou équivalents Requirements - Analyse - Rigueur dans l'instruction des dossiers - Capacité d'organisation Benefits - Sens de la diplomatie, notamment dans les relations avec les bailleurs sociaux - Savoir travailler en équipe Éléments de candidature Documents à transmettre: Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire. Personnes à contacter - fanny.chantrelle@yvelines.gouv.fr - sgc-rh-poleddi@yvelines.gouv.fr

Role Description TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. As part of our SRS/FSP team, you will be dedicated to one sponsor, a global pharmaceutical company that is an industry leader within its therapeutic area. - Deliver and implement advanced secondary analyses of EMR and claims data to support observational epidemiological studies. - Design and execute analyses for real-world observational studies with no intervention. - Provide expert input and recommendations on study design, data partner selection, and Real-World Data (RWD) best practices. - Collaborate with internal and external teams to evaluate the strengths and limitations of RWD sources for respiratory research. - Independently design and build analytical solutions for complex healthcare datasets. - Develop, validate, and document analytical methods and models using SQL (required), R, and Python. - Apply advanced statistical methods (e.g., regression models, Cox regression, Kaplan-Meier survival analysis) to generate robust insights. - Contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations. Qualifications - Master’s degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline. - Demonstrated experience with large datasets, preferably healthcare data. - Excellent SQL skills and strong experience querying complex databases. - Excellent programming skills in R; Python experience is an advantage. - Strong problem-solving skills and ability to independently develop analytical solutions. - Good understanding of statistical methods used in observational research (e.g., regression, Cox regression, Kaplan-Meier). - Experience working with observational studies with no intervention. - Familiarity with ADaM/SDTM datasets and clinical data structures. - Experience working with or understanding of the OMOP Common Data Model (OMOP CDM). - Experience with Imaging Data (CT scan reading in particular) - a must-have. Benefits - Opportunities for personal and professional growth in a rewarding environment. - A team that values collaboration, quality, and making a difference in the lives of patients. - Core values of Trust, Quality, Passion, Flexibility, and Sustainability guide our decisions and shape our culture. - Fostering collaboration, innovation, and a shared commitment to excellence. Company Description Our journey began over 30 years ago in Sweden, in the city of Lund. As a full-service global CRO, we build solution-driven teams working toward a healthier future. Bringing together over 600 professionals, TFS delivers tailored clinical research services in more than 50 countries, offering flexible clinical development and strategic resourcing solutions across key therapeutic areas including Dermatology, Neuroscience, Oncology, and Ophthalmology.

• Design and implement advanced analytical and machine learning solutions for complex business problems • Select and adapt appropriate data science techniques, models, and architectures • Lead execution of complex data-driven projects from analysis through deployment • Develop and implement end-to-end data pipelines and machine learning models • Evaluate and integrate third-party and open-source tools and technologies • Provide technical guidance to other data scientists • Communicate complex insights and recommendations to senior stakeholders • Contribute to data, analytics, and AI security guidelines