We use cookies. Find out more about it here. Some services may not be available without accepting cookies. By continuing to browse this site you agree to our use of cookies.

I agree and accept cookies

Jobs

Advanced search

Data Scientist II job in Boston

Vacancy has expired

Back to search results

Boston, Massachusetts - MA MAPFRE

Job Ref:	36207
Employer:	MAPFRE
Sector:	P&C/General Insurance/Non-Life
Qualifications:	Unclassified
Software:	Oracle R SAS SQL VBA
Job Type:	Full Time
Salary and Benefits:	Competitive
Remote:	No
Location
Country:	United States
State/Province/County:	Massachusetts - MA
City:	Boston
Post Code:	Not specified
Map:	(Show on map)
Description
This position will be critical in achieving our vision of establishing predictive analytics as a competitive advantage of MAPFRE USA. Work has strategic impact on potentially all functional areas including marketing, product, actuary, operations, and claims. Responsible for research and development of predictive models and analytical techniques for subjects involving insurance pure premiums, customer life time value, customer buying behaviors, retention and other related topics utilizing internal and external data. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession. Apply predictive models, leveraging your strong analytical skills and medium insurance knowledge to design & develop analytic solutions for multiple business areas. Apply cutting-edge Generative AI techniques including but not limited to prompt engineering, LLM fine-tuning, RAG, and Agents, to solve complex business problems in the insurance domain. Knowledge, Skills and Abilities: Education and Experience Degree in Statistics, Economics, Mathematics, Finance, Engineering, Science, or a related quantitative analytical field. Technical Skills Knowledge of statistical techniques including GLM - multiple regression, logistic regression, log-linear regression, and variable selection, machine learning techniques Multivariate analysis - Clustering, factor, principal component, etc. Forecasting - time series, etc. Basic programming skills in SQL, SAS, PYTHON or R Competencies Ability to meet deadlines Preferred Qualifications: Experience in insurance, banking, credit card or other financial industries, or comparable consulting experience Experience building predictive models on very large datasets Experience applying advanced predictive analytics to develop solutions for areas such as marketing, underwriting, pricing, product, product development, risk management, operational optimization, retention, fraud detection, and claim management Good understanding of the business of P&C insurance and insurance data Good verbal and written communication skills; Be able to explain technical results to technical and non-technical audiences Knowledge of survival analysis, Bayesian analysis, discriminant, correspondence, multi-dimensional scaling, decision trees, GAM, neural networks, text mining and geospatial analysis Proficient in data modeling, merge/purge, query, and reporting in SAS, DBMS (e.g. Oracle, DB2, ACCESS), and other systems VBA, EXCEL, ACCESS, SQL Server, Teradata, UNIX, LINUX, MVS, R, SAS Enterprise Miner, Congos, C, C++, JAVA, or other programming If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at talentacquisition@mapfreusa.com. We are proud to be an equal opportunity employer.

ref: (36207) 11 days ago

Back to search results

Featured Jobs

MORE JOBS LIKE THESE