We are looking for a Sr. Data Scientist I to join the Auto Insurance Rating Analytics team with strong expertise in statistics/modeling, machine learning to join our diverse team of data scientists. This individual will play a key role in new product innovation, model development, generating actionable insights along with working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge supporting the insurance market.
You can look forward to:• Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies • Analyzing organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization’s operations and/or markets; models and evaluates the potential impact of changes • Applying and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
General Profile: • Experienced practitioner• Works independently and requires in-depth knowledge and experience • Solves complex problems • Contributes to process improvements • Uses best practices and knowledge of internal or external business issues to improve products or services • Acts as a resource for colleagues with less experience
Recommended Skills: • Functional Knowledge: Requires conceptual and practical expertise in own area • Business Expertise: Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate the company in the market• Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff • Problem Solving: Typically resolves problems using existing solutions • Impact: Works with minimal guidance • Interpersonal Skills: Explains difficult or sensitive information
Models primarily auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques
Supports existing models
Python experience required
Cloud experience preferred
Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization’s operations and/or markets; models and evaluates the potential impact of changes
Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources
Qualifications:
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master’s/Ph.D. degree preferred.
3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services.
Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software.
Experience manipulating and merging multiple large data sets in a distributed computing environment.
Solid understanding of ML techniques including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models.
Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages . pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala.
Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams nice to have.
At Lexis Nexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: ~~~ .
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RELX is a global provider of information and analytics for professional and business customers across industries.
We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.
In short, we enable our customers to make better decisions, get better results and be more productive.
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