Senior Data Science Engineer jobs in United States
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Midwest Employers Casualty (a Berkley Company) · 9 hours ago

Senior Data Science Engineer

Midwest Employers Casualty (MEC) is a Fortune 500 company focused on improving the quality of life for employees injured on the job. The Senior Data Science Engineer will leverage data assets to create analytical products, lead projects, and mentor team members while driving business impact through innovative solutions.

Employee BenefitsFinancial ServicesInsuranceLife Insurance
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Diversity & Inclusion
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Responsibilities

Develop and deliver high-quality code, data analysis, and visualizations using best practices
Lead projects to automate analytical workflows and deploy predictive models
Engineer solutions for model development, testing, and deployment
Collaborate with Sr. Data Scientist to update or train new predictive models
Collaborate with internal and external stakeholders to provide analysis, reports, and data products
Define and maintain best practices for:
Using Azure and Databricks for data science
Building and deploying generative AI applications
Act as a liaison between Advanced Analytics and other technical teams across W.R. Berkley
Serve as a project lead, managing timelines, deliverables, and communication
Monitor production applications in Cloud and Kubernetes environments for performance and reliability
Mentor junior team members and promote knowledge sharing

Qualification

Data scienceMachine learningGenerative AIAzurePythonSQLData visualizationStatistical algorithmsNatural Language ProcessingVersion control toolsETL processesData engineeringDockerAPI developmentAgile methodologiesAdvanced mathematicsStatisticsAnalytical skillsCommunication skills

Required

4–7 years in data science, software/ML engineering, or related roles
1–3 years building solutions with generative AI models
1–3 years developing AI solutions in Azure and/or Databricks
Proficiency in SQL, Python, and Version control tools (GitHub, Bitbucket)
Strong understanding of statistical and machine learning algorithms
Strong understanding of Natural Language Processing (NLP)
Strong understanding of deploying and scaling analytics solutions
Familiarity with ETL processes, data engineering, and data mining
Familiarity with large-scale databases and data warehouses
Familiarity with Docker and API development
Strong grasp of data visualization best practices
History of leading technical projects using agile methodologies
Ability to communicate complex concepts clearly
Curious, self-motivated, analytical, and driven to solve complex business problems
Ability to manage multiple priorities under tight deadlines
Bachelor's or Advanced degrees in data science, computer science, mathematics, statistics, engineering, physics, or other sciences (or college degree with significant technical experience in a corporate setting)
Strong background in advanced mathematics, statistics, computer science, and/or data science

Company

Midwest Employers Casualty (a Berkley Company)

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Midwest Employers Casualty (MEC) is exclusively focused on tailored workers’ compensation excess insurance products that meet the unique needs of individual employers, groups and insurance companies, nationwide.

Funding

Current Stage
Growth Stage
Total Funding
unknown
1995-09-15Acquired

Leadership Team

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Stephanie Wilmotte
CFO, VP
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Fernando Branco
AVP, Claims & Chief Medical Officer
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Company data provided by crunchbase