Lead Data Scientist
Pubblicato il 27-09-2026 - Linkedin in Milano
Enabling What's NextbrSi assicuri di leggere attentamente le informazioni relative a questa occasione prima di inviare la sua candidatura.brWho We ArebrBorn in **** as Techedge, we have more than 20 years of expertise that enabled us to become what we are today: Avvale!
brThis path led us to be able to count on over **** employees, present in 12 countries around the world.brWhat We DobrWe help public and private companies to re-design their business models through the development of innovative and sustainable solutions, which have a positive impact not only on our customers but also on the world we live in!
brHow we dobrThrough circular economy models, made possible thanks to technological innovation.brWhat you will findbrIn Avvale we value our talents and your path with us will be full of:brFlexibility , thanks to our policy you can work remotely in Italy, up to 5 days a week, and in SEE and Switzerland up to 5 months a year;brTraining developmentbras you can participate to training on the job, certifications, foreign languages classes and you will have a yearly budget to buy training courses;brGender equality inclusion , the obtaining of Pdr 125 is a proof of Avvale commitment to an inclusive and fair work environment;brCompensation Benefits:brIn line with our commitment to transparency and people development, the gross annual salary (RAL) for this position ranges between €44,000 and €50,000, commensurate with experience and skills.
The position is covered by the 'CCNL Commercio e Terziario' (National Collective Labor Agreement for Commerce and Service Sector), alongside a benefits package that includes meal vouchers, wellbeing initiatives (including Wellhub), and growth opportunities.brRole and responsibilities:brYou will be part of an area that takes care ofbrArtificial Intelligence .
brAs abrLeadbrData Scientist , you will work for customers and internal research departments on complex and innovative projects about genAI, NLP, demand forecasting, predictive maintenance, computer vision,
and lots more, in various fields and sectors.brYou will focus on solving complex problems: translating requirements into actionable rules andbrdeliverables.brYou will be responsible for:brAnalyzing business needs and proposing the most effective technical approach, choosing between classical AI, GenAI, or hybrid solutions.brDesigning the end-to-end AI solution, translating business requirements into technical specifications.brDesigning and implementing solutions based on Machine Learning and advanced statistical methods, as well as GenAI architectures (RAG, agents, LLM orchestration, prompt engineering, fine-tuning when needed).
brAssessing when to rely on an LLM/GenAI solution versus a classical ML approach, based on robustness, accuracy, and cost-effectiveness.brValidating developed models with a focus on explainability, generalization, robustness, and production behavior (including GenAI-specific risks such as hallucinations, bias, and inference costs).
brPreparing and presenting technical and non-technical reports, adapting the storytelling to the audience's level.brStaying up to date on developments in Data Science, ML, and GenAI, proposing new ideas and participating in pre-sales activities.brRequired SkillsbrAt least 4 years of relevant experience designing and implementing AI/ML solutions.brHands-on experience applying advanced analytics/ML techniques to real business cases, with a proven ability to synthesize complex data and present results.brPractical experience with advanced analytics/ML techniques and GenAI solutions applied to real business cases .
brStrong proficiency in Python and core AI frameworks/libraries.brCome with usbrYou will have the opportunity to work and get in touch with international players who will allow you to increase your know-how in view of future challenges!
brWe do not consider applications without CV.brAvvale promotes equal opportunity.
xjncmbx We enhance diversity and are committed to creating an inclusive environment in compliance with applicable non-discrimination and data protection laws.