Data Scientist

**DATA SCIENTIST**

**Key Objectives**

**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.
- 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.
- Excellent understanding of statistics, multivariable calculus, and linear algebra.