Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non‑profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues.

Within Oliver

Wyman, the Data & Analytics (DNA) division was established in 2017 and is operating across the entire world, with a focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation. We believe in the power of diverse perspectives and collaborative teams to drive innovation.

Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential. What will you do As a member of Oliver Wyman’s Data & Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges.

Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas.

Notable projects include: Developing an NLP‑based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit Validating a customer‑facing GenAI chatbot for an American bank Developing probability of default and loss models in Python for European and UK‑based banks Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information Developing a next best action model to reduce customer churn for a global telecom company Expect a steep learning curve, as no two projects are ever the same. You’ll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you’ll constantly expand your toolkit with each new endeavor. You won’t be alone on this journey; You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path.

We also care deeply about sustainable work‑life quality, providing you with the flexibility to balance your career aspirations with your personal life.

Who Can

Apply? Bachelor's, Master’s, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.) Data‑driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies Excellent command of the English and Italian language (verbal and written) Interest and experience in financial services and risk management is a plus At least 6 months of previous working experience in specialised consulting firms, top tier banking or financial institutions.

Compensation InformationRemuneration Total compensation for this role includes base salary, annual discretionary performance premio, and a market‑leading benefits package described below. The expected base salary remuneration range for this position is between EUR 36,200 gross and EUR 43,000 gross per year (full‑time equivalent).



The candidates eligible will receive also a 3,300€ una‑tantum sign‑on bonus in their first month of employment.

This amount is expressed as a full‑time equivalent. Any final offer salaries may vary based on factors such as your unique blend of experience and skills, and our current organizational needs. Variable compensation and benefits ~ Annual discretionary bonus under the terms of the applicable Company Policy (variable remuneration linked to individual and company performance) Benefits (company‑paid and additional benefits) Supplementary insurance package paid by the Company, including health, life, accident insurance and permanent disability coverage Company car or car allowance available for eligible roles under the Car Policy of Oliver Wyman Italia Subscription to Wellhub paid by the Company Corporate discounts: access to a range of partner discounts Employee Assistance Program (EAP): confidential psychological, legal, and financial support services Bonus for employee referral to fill an official vacancy Seniority milestone paid leave Marsh is committed to creating a diverse, inclusive and flexible work environment.

We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week.

Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person. #

📌 Senior Data Consultant (Milano)
🏢 Oliver Wyman
📍 Milano