{"id":2152768,"url":"https://alion.io/job/generali-data-scientist-business-advanced-analytics-solutions","title":"Data scientist - Business Advanced Analytics Solutions","company":{"id":1773319,"name":"Generali","domain":"generali.com","url":"https://alion.io/company/generali-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Go Generali","truth_index":{"grade":"B","score":83,"open_postings":179,"ghost_share":0.196,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":35000,"max":45000,"currency":"EUR","period":"year","gross":true,"usd_annual":50398},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Detectron2","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"ONNX","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false},{"name":"Triton","optional":false},{"name":"AWS","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Model Distillation","optional":true},{"name":"Quantization","optional":true}],"status":"live","first_seen_at":"2026-03-23T14:14:53Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-15T18:23:08Z","board_verified":true,"closed_at":null,"days_open":206,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":205},"description":"The Group Advanced Analytics and Automation Solutions Unit is in charge of driving the execution of key Artificial Intelligence projects at Group level, related both to AI-driven automation and AI recommendations/predictions and support local Business Units to implement local projects. The unit is also responsible for designing, implementing, and continuously improving a library of central shared analytics / automation services, leveraging cutting-edge technologies, algorithms and methodologies, available for the BUs through a central platform.\nIn our team, the Data Scientist is in charge of identifying, designing and developing artificial intelligence solutions through text analytics, image analytics and data analytics technologies, with the aim to automate end-to-end discretionary processes, such as claim settlement, underwriting or document processing, or to provide recommendations within human-based processes, such as fraud detection or churn prediction.\nAs a Data Scientist, you will take part in international AI projects and initiatives in collaboration with our +50 Business Units, having the opportunity to gain full ownership on AI applications, implementation and delivery in the different sectors and countries where Generali operates.\nOn top of the project delivery, you will have the chance to experiment the most innovative technologies and approaches in order to continuously enrich the Group library of analytics / automation services.\nThis includes for example:\nGradient Boosting, Neural Networks, Unsupervised learning and Optimization techniques for core insurance use cases like pricing and fraud detection\n\nTransformers for Token Classification, Question Answering, Semantic Search, Relation Extraction and Dependency parsing in different languages; Multi-task learning and Fine-tuning on internal data assets; Prompt Engineering with LLMs\n\nState-of-the-Art algorithms, frameworks and projects for Computer Vision, metric learning and time-series Analysis (for example Hugging Face, Detectron2, MMLab) and model optimization for deploy at scale (for example NVIDIA Triton, ONNX, TorchScript)\n\nSynthetic data generation (including 3D computer graphics and Generative Adversarial Networks - GANs)\n\nGPU and Multi-GPU trainings\n\nMain tasks and responsibilities:\nSupport the project set-up, the analysis of the as-is processes, the creation of a business case, and the design of the target end-to-end solution, including the models and data needed to maximize the business impact.\n\nDevelop end-to-end AI projects, including machine learning models, optimization techniques and algorithms, from the data pre-processing, to the code-base creation and model training, evaluation and test.\n\nPresent and explain the projects results and the solution’s performances to the business stakeholders\n\nResearch bleeding-edge techniques and tools in machine learning/deep learning/artificial intelligence to bring new research topics and methodologies from paper to production, and contribute to the library of ready-to-use shared models / algorithms used by all Business Units\n\nStrong problem-solving skills, creativity, and determination\nExcellent analytical and deductive skills\nExperience in Python and other programming languages (R, Java, C++, …) and Data Science libraries (Pandas, Scikit-learn, Numpy, Pytorch, LightGBM, Tensorflow)\nExperience in designing, developing and evaluating Statistical modeling or Machine Learning models (clustering, classification, regression, forecasting, …)\n(Nice-to-have) Experience in Cloud Development (preferable AWS), ML Ops, Containerization multi-GPU/multi-node training, model optimization (pruning, quantization, distillation, …) and the most famous Deep Learning frameworks (Tensorflow and Pytorch) or libraries (Hugging Face, Detectron2, MMLab, …)\nAbility to work in a team, operational autonomy, proactivity, high level of commitment and result-orientation\nMaster’s degree in scientific disciplines (Mathematics, Computer Science, Engineering, Economics, Physics)\nGood knowledge of written and spoken English (B2);\nBasic knowledge of IT architecture (nice-to-have)\nWhat we offer\nWe offer employment in accordance with the CCNL ANIA for non-executive employees and the Generali Group Company Agreement.\nGross annual salary ranging between 35K€ and 45K€. The final offer will be aligned with the candidate’s professional experience, technical and soft skills relevant to the role, and may include an individual variable component.\nWe also offer\nSmart working and flexible hours\nCorporate welfare system\nMeal vouchers\nSupplementary health insurance and discounted insurance policies\nWell-being initiatives\nTraining and development\nStructured continuous learning paths (technical and managerial)\nCareer development programs within the Group\nAccess to learning platforms and internal mobility opportunities, including international\nWhy Join Generali\nJoining Generali means becoming part of an international Group with a strong heritage and a forward-looking vision, where people are at the center of our sustainable growth strategy.\nWe foster a responsible, inclusive, and innovation-driven work environment, where everyone can contribute to creating value for customers, society, and the communities in which we operate.\nWe believe that diversity, equity and inclusion are essential to building a stronger culture and driving sustainable growth.\nAt Generali, you will find opportunities to grow through continuous learning, career development paths, and internal mobility across the Group.\nWe recognize talent and merit, and support flexibility as a key enabler of well-being and a sustainable work-life balance.\nWorking with us means sharing strong values and taking on meaningful challenges together to build a safer and more sustainable future every day.\nAs an Equal Opportunity Employer, Generali evaluates all applications based exclusively on objective and gender-neutral criteria, including skills, experience and potential, ensuring fairness and transparency throughout the selection process.\nAssicurazioni Generali 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