Lead Data Scientist
Pubblicato il 24-09-2026 - Avvale in Milano
Enabling What’s NextSi candidi tempestivamente! È previsto un elevato volume di candidati per il ruolo descritto di seguito, non aspetti a inviare il suo CV.Who We AreBorn in 2004 as Techedge, we have more than 20 years of expertise that enabled us to become what we are today: Avvale!This path led us to be able to count on over 3500 employees, present in 12 countries around the world.What We DoWe 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!How we doThrough circular economy models, made possible thanks to technological innovation.What you will find In Avvale we value our talents and your path with us will be full of:Flexibility, 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; Training & development as you can participate to training on the job, certifications, foreign languages classes and you will have a yearly budget to buy training courses; Gender equality & inclusion, the obtaining of Pdr 125 is a proof of Avvale commitment to an inclusive and fair work environment; Compensation & Benefits: In 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.Role and responsibilities:You will be part of an area that takes care of Artificial Intelligence.As a Lead Data 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.You will focus on solving complex problems: translating requirements into actionable rules anddeliverables.You will be responsible for:Analyzing business needs and proposing the most effective technical approach, choosing between classical AI, GenAI, or hybrid solutions.Designing the end-to-end AI solution, translating business requirements into technical specifications.Designing 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).Assessing when to rely on an LLM/GenAI solution versus a classical ML approach, based on robustness, accuracy, and cost-effectiveness.Validating developed models with a focus on explainability, generalization, robustness, and production behavior (including GenAI-specific risks such as hallucinations, bias, and inference costs).Preparing and presenting technical and non-technical reports, adapting the storytelling to the audience's level.Staying up to date on developments in Data Science, ML, and GenAI, proposing new ideas and participating in pre-sales activities.Required SkillsAt least 4 years of relevant experience designing and implementing AI/ML solutions.Hands-on experience applying advanced analytics/ML techniques to real business cases, with a proven ability to synthesize complex data and present results.Practical experience with advanced analytics/ML techniques and GenAI solutions applied to real business cases .Strong proficiency in Python and core AI frameworks/libraries.Come with usYou 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!We do not consider applications without CV.Avvale promotes equal opportunity. xysqume We enhance diversity and are committed to creating an inclusive environment in compliance with applicable non-discrimination and data protection laws.