Key Objectives
This position will bring knowledge and expertise in modelling methodologies, dataset generation and transformation, statistical programming, and analysis. Opportunities will exist to work in a dynamic environment on a broad spectrum of global analytical initiatives, impacting underwriting and marketing.  The role will be responsible for applying statistical and data mining techniques to identify profitable growth areas and optimize portfolio performance. The person will be expected to understand and analyse insurance risk factors and articulate results to the various stakeholders, including but not limited to underwriters, product managers and actuarial.  Position will be based in: Monterrey, Mexico.
Major Duties and Responsibilities
• Build predictive models and analytic solutions, with some supervision, to support the Commercial underwriting and marketing functions.
• Assist in brainstorming potential data sources that may contain predictive variables.  Identify, acquire, evaluate, and document data from these various sources, both internal and external.
• Collaborate in extracting and manipulating data using data management tools from internal and external data sources. 
• Understand and combine data from various sources to create analytics data sets. Develop an intermediate working knowledge of how current systems and data sources are populated and sourced.
• Analyse data, draw meaningful conclusions, and assist in developing solutions to help drive profitability and/or growth.
• Introduce novel methodologies, algorithms, tools, and technologies to solve assigned problems.
• Collaborate with other analytics teams (i.e., Applied AI, Emerging Risks) to achieve objectives. 
• Build partnerships with key counterparts.  
• Communicate and present findings to business partners to ensure successful integration of projects into business process.  Proactively follow up on any issues that were raised during presentations.  
• Participate in developing solutions to implement models into production. Work with I/T in the design and testing of models.
• Monitor the performance and usage of models.  Ensure that the reports suit the needs of the audience.
• Create and maintain clear and concise documentation associated with models.
• Support business requests which require statistical analysis.
• Provide training guidance and assistance to colleagues.
Desired Qualifications
• Minimum of a bachelor’s degree, preferably in Statistics, Mathematics, Analytics or Computer Science.  Advanced degree in Statistics or Predictive Analytics is strongly preferred.
• 3+ years of predictive analytics experience, preferably in the insurance industry.
• Business experience and knowledge of P&C industry, including actuarial science, is a plus.
• Understanding of business challenges, design analytical solutions, using advanced modelling techniques and synthesize insights to business decision making process.
• Intermediate knowledge in statistical analysis and multivariate procedures.  Knowledge of Machine Learning techniques and AI is a plus.
• Experience with a statistical package (Python, R, SAS) and/or data management (SQL) and/or programming is preferred.  
• Experience with text analytics is a plus.
• Proficient in Microsoft Suite applications.
• Excellent oral and written communication skills.  Ability to articulate an intermediate level of understanding of work products.
• Ability to complete analytical tasks independently with some guidance, if necessary.
• Strong organizational skills, able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently. Produces accurate work products in a timely manner.
• Ability to work in a team environment.
• Responsive to service needs and operational demands.
• With 3+ years of data science experience, preferably within the P&C industry
• With strong technical and programming skills, preferably in Python
• Who has solid communications skills, is organized and responsive.
• Who can display some level of critical thinking and would be able to introduce innovation into our processes.
Data Scientist Requirements:
- Advanced English communication skills.
- A MSc or PhD degree in applied mathematics or statistics.
- 5+ years of industry experience.
- Advanced coursework in machine learning and programming.
- Experience using data visualization tools.
- Experience with data querying languages, and statistical or mathematical software.
- Proficient in writing algorithms, and knowing when to apply them.
- Excellent understanding of statistics, multivariable calculus, and linear algebra.

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