Oliver Wyman - Lead Data Scientist - São Paulo

International Catalyst Services, LLC; São Paulo; Híbrido; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Lead Data Scientist, where your expertise will drive innovative solutions across various industries. In this dynamic role, you will manage technical projects, engage with clients to understand their challenges, and collaborate with diverse teams to deliver unique products. With a focus on data engineering and model design, you will advocate for best practices and lead the development of cutting-edge statistical techniques. This position offers the opportunity to work in a hybrid environment, balancing remote flexibility with in-office collaboration. If you’re passionate about data science and eager to make an impact, this is the perfect opportunity for you.

Qualificações

• Expertise in data engineering and model design is essential.
• Experience in statistical techniques and analytical tools development.

Responsabilidades

• Explore data and build models to solve core business problems.
• Lead the development of proprietary statistical techniques and algorithms.

Conhecimentos

Data Engineering

Model Selection

Software Engineering

Statistical Techniques

Analytical Tools Development

Collaboration

Formação académica

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Ferramentas

Statistical Software

Data Visualization Tools

Descrição da oferta de emprego

Our clients drive our projects – and no two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants.

Your responsibilities will include:

1. Exploring data, building models, and evaluating solution performance to resolve core business problems
2. Explaining, refining, and collaborating with stakeholders through the journey of model building
3. Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies
4. Advocating application of best practices in modelling, code hygiene and data engineering
5. Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development
6. Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

Marsh McLennan 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 McLennan 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 McLennan 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.