Data Science Excellence Program (DSEP) - CR
Verisk’s Data Science Excellence Program (DSEP) is a 4.5-year rotational program designed to develop the next generation of data scientists. The program consists of three 18-month rotations within Verisk’s business units as a fulltime Verisk employee. As a DSEP data scientist, you’ll receive hands-on analytics experience doing everything from data wrangling, querying, modeling, visualizing, and productizing as you work in business areas including insurance, finance, energy, and climate. You will help our clients in decision analytics, forecasting, and risk management.
The work includes the creation of both proof-of-concept demonstrations to illustrate specific
technologies and algorithms as well as robust operational systems than can be put into production. As an active member of project teams, you will be exposed to some of the data challenges faced at Verisk’s operations including large-scale data analysis (petabytes), real-time data analysis, and anomaly detection. Data sets of interest include large imagery and physical science data, payments industry data, and insurance data.
Verisk provides our DSEP participants with mentorship, leadership training, engaging program events, and valuable exposure to the senior analytics and business leaders guiding our company. If you have a strong technical background, enjoy ongoing learning and innovative thinking, and strive to activelyparticipate in knowledge-sharing and open collaboration, we hope you will consider joining the Data Science Excellence Program.
DSEP begins in February, 2021 (for Winter 2020 grads) and July 2021 (for May 2021 grads).
Work availability requirements:
· December 2020/ May 2021 graduate with an MS degree in Data Science/Analytics.
· Must be able to commence working without restrictions in February or July 2021.
· Ability to relocate within the United States for each of the 3 rotations.
Responsibilities:
· Manipulate, clean, analyze, visualize, and model data of varying volume and velocity with some guidance
· Work with cross-functional peers and management to see a project through to deployment
· Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
· Passion for empirical research and resourcefulness for problem-solving with data
· Continue learning new technologies, business skills, and domain knowledge to ensure a successful career
· Participate and help organize various innovative events such as hackathons and modeling competitions
Required skills, experiences, and qualifications:
· Minimum GPA of 3.5.
· Core skills
o Strong programming capability in a common language such as python or R and their associated ecosystem of open source libraries
o Must be proficient in SQL, understanding of NoSQL query languages a plus
o Basic understanding of software development practices such as versioning, testing and continuous deployments
o Exposure to big data and distributed systems such as Spark a plus
o Exposure to cloud services such as AWS, GCP, or Azure, a plus
o Exposure to event-driven architecture such as APIs, Kafka, GraphQL a plus
· In-depth understanding of one or more machine learning or statistical concepts
o Supervised, unsupervised, semi-supervised learning scenarios
o Optimization and loss functions
o Evaluation of classification, regression, and other model results
o Probability distributions and unbalanced samples
o Dimensionality problems, sampling, and Bayesian methods
o Missing values and imputation
· Experience in one or more of the following:
o Real-world use cases that solved a problem by applying machine learning and statistical modeling on structured and/or unstructured data
o Computer vision working with images, videos, or point clouds
o Natural language processing working with short or long-form text
o Large scale mathematical programming and/or optimization problems
o Other deep learning applications and architectural designs such as graphs or multimodal problems
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.