FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing analytic solutions using Machine Learning techniques, including Predictive Modeling and Computer Vision, while ensuring accuracy and interpretability. Strong programming skills in Python and familiarity with SQL or NoSQL databases enhance the ability to deliver innovative products and process improvements.
Highest-signal resume keywords
Machine LearningPredictive ModelingComputer VisionPython ProgrammingSQL or NoSQL Databases
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningPredictive ModelingComputer VisionPython ProgrammingSQLNoSQLHadoopHBaseMongoDBNeo4j
Soft Skills
Analytical Problem SolvingCreative Problem SolvingWritten CommunicationOral Communication
Industry Keywords
Analytic SolutionsAuto IndustryAuto Insurance
Tech Stack
Tools & technologiesHadoopHBaseMongoDBNeo4jNoSQLPythonSQL
About the role
Key responsibilities & impact- Develop analytic solutions to improve Verisk processes, enhance current products, and develop new products
- Develop analytic solutions using machine learning techniques including Predictive Modeling, Computer Vision and Generative AI
- Ensure solutions meet business requirements for accuracy, sophistication and interpretability
- Deliver solutions in a timely manner
- Keep abreast of technical innovations and new developments in relevant analytic fields
- Identify training and project opportunities to develop assigned analytic interns
- Help organize forums for developing Verisk's analytic community
- Share methodologies, advances and best practices with the analytics community
- Contribute to new products, enhanced products, direct revenue, cost savings and process improvements
- Work with business partners, team members and analytic community leaders
Requirements
What you’ll need- Bachelor's degree in a quantitative field with 5–8 years of relevant experience, or Master's degree in a quantitative field with 3–5 years of relevant experience, or PhD in a quantitative field with 0–2 years of relevant experience
- Strong programming skills, particularly in Python
- Ability to solve problems analytically and creatively
- Strong written and oral communication skills
- In-depth knowledge of Computer Vision and Machine Learning
- Familiarity with SQL or NoSQL databases, including Hadoop, HBase, MongoDB and/or Neo4j
- Knowledge of the auto industry and auto insurance is a bonus but not required
Benefits
Comp & perks- Eligible roles may include short-term incentive opportunities
- Medical coverage
- Life insurance
- Pension plans
- Paid time off in line with local labor laws
- Wellness initiatives
- Fitness programs
- Team-building activities
- Career development opportunities
- Competitive compensation package