Lead, Data Scientist - Emerging Markets

Há 25 anos, a Prudential do Brasil oferece soluções personalizadas de seguros de vida individual e em grupo. Maior seguradora independente no segmento de pessoas do Brasil, protege 3,3 milhões de vidas e já retornou para sociedade cerca de R$ 3 bilhões em benefícios pagos. De forma pioneira, trouxe para o país o maior programa de bem-estar e recompensas do mundo, o Prudential Vitality, com foco na saúde e longevidade dos seus segurados. A seguradora nasceu da Prudential Financial, uma das maiores e mais antigas instituições de serviços financeiros do mundo com quase 150 anos de atuação. Em operação em mais de 50 países, a Prudential tem cerca de US$ 4 trilhões de capital segurado no mundo em seguro de vida e aproximadamente US$ 1,4 trilhão de ativos sob sua gestão. Para saber mais sobre a Prudential do Brasil, visite o site.

As a Lead Data Scientist for Emerging Markets, you will be a central figure in our data-driven journey, playing a critical role in steering cross-country initiatives. Your work will be pivotal in supporting the Prudential Emerging Markets strategy. As part of an inclusive and diverse central team, you will collaborate with local teams, Machine Learning Engineers, Data Engineers, Data Analysts and ron other professionals across geographies. Together, you will develop and execute advanced analytic models and methods, focusing on creating solutions that are stable, producible, scalable, and seamlessly integrated with our other products and services. 

Your role will be at the forefront of solving sophisticated business problems. You will be instrumental in deploying innovative products, services, and experiences that are not just efficient and effective, but also delight our customers. As a successful candidate, you will bring more than just your technical expertise and experience. You will also possess excellent problem-solving abilities, communication and teamwork skills. Your agile approach to work, strong business insight, inclusive leadership attitude, and a commitment to continuous learning will be vital as you navigate through the exciting challenges of this role. Your work will have a significant impact, and your contribution will be valued as we strive together to redefine the future of Emerging Markets through data science. 

Here is what you can expect in a typical day: 

• Provide technical leadership to a portfolio of high impact data science initiatives. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove technical impediments   
• Responsible for the hands-on development of advanced data science solutions comprising the portfolio. Perform hands-on data analysis, model development, training, and testing. 
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development.  Continuously look for insights in models developed and generate new ideas for model improvement. 
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
• Bring a strong understanding of relevant and emerging technologies. Provide input and coach team members and embed learning and innovation in the day-to-day. 
• Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables 

The Skills and expertise you bring: 

• Master or PhD of Computer Science, Engineering or similar in addition to experience in related fields 
• Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization   
• Experience with agile development methodologies and Test-Driven Development (TDD) 
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business 
• Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges 
• Excellent problem solving, communication and collaboration skills 

​Advanced experience and/or expertise with several of the following: 

• Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python. 
• Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. 
• Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems. 
• Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). 
• Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. 
• Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. 
• Generative AI: You should have a deep understanding of Generative AI, including its algorithms and real-world applications for creating new data models. Experience with Generative AI tools and techniques, such as GANs (Generative Adversarial Network s), is highly desirable. 
• Programming Languages: Python and SQL 

You’ll Love Working Here Because You Can 

Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you.   

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