Home › Companies › Careers Thesilverlining Icims Com › Senior Data Scientist
Senior Data Scientist
Careers Thesilverlining Icims Com · Remote, UNAVAILABLE, US · Remote · Active · $140,000–$180,000 / month · iCIMS
Job facts
| Field | Value |
|---|---|
| Company | Careers Thesilverlining Icims Com |
| Title | Senior Data Scientist |
| Normalized title | - |
| Department / team | Data |
| Location | UNAVAILABLE, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $140,000–$180,000 / month |
| Status | active |
| ATS provider | iCIMS |
| Posted / first seen | 2026-03-04 / 2026-05-31 |
| Changed / last seen | 2026-06-01 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Careers Thesilverlining Icims Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through iCIMS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Careers Thesilverlining Icims Com |
| Source | 6f2c331c-1d17-4047-939b-a3e2b80d2892 |
| ATS provider | iCIMS |
Description
Company Overview
Recognized as a Milwaukee Journal Sentinel Top Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We’re committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.
Job Summary
The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management.
Work Location
This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.
Responsibilities & Qualifications
Key Responsibilities
Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
Translate business and strategic objectives into clear analytics, reporting, and data requirements
Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
Document, present, and explain modeling methodologies and results for business partners and regulatory review
Identify, evaluate, and integrate internal and external data sources to meet business needs
Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
Promote analytics best practices and provide consultation on data-driven initiatives
Evaluate third-party data, models, and analytical tools in partnership with vendors
Required / Preferred Qualifications
6+ years of advanced analytics, data science, or predictive modeling experience
3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing , rating, or risk-tiering models)
Strong knowledge of P&C insurance data, data sources, and business processes
Proficiency in Python, R, SAS , or similar statistical programming languages (experience with at least two preferred)
Experience working with large datasets using SQL, Spark , or cloud-based data platforms
Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku , or similar
Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
Self-motivated, analytical, and collaborative mindset
Education & Credentials (Preferred)
Master’s degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research , or a related field
P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA
Why Join Us
Work on high-impact analytics that directly influence pricing, underwriting, and risk decisions
Collaborate with experienced analytics and insurance professionals
Flexible work options (remote, hybrid, or office-based depending on location)
Competitive compensation, benefits, and professional development opportunities
#LI-BW1
Salary Statement
The salary range for this position is $140,000-$180,000.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate.
Benefits
West Bend offers a comprehensive benefit plan including but not limited to:
Medical & Prescription Insurance
Health Savings Account
Dental Insurance
Vision Insurance
Short and Long Term Disability
Flexible Spending Accounts
Life and Accidental Death & Disability
Accident and Critical Illness Insurance
Employee Assistance Program
401(k) Plan with Company Match
Pet Insurance
Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
Bonus eligible based on performance
West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.
EEO
West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.
Full job record
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| Board ID | 6f2c331c-1d17-4047-939b-a3e2b80d2892 |
| Provider | icims |
| Provider Job Key | 3518 |
| Title | Senior Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote, UNAVAILABLE, US |
| Department | Data |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | UNAVAILABLE |
| City | — |
| Salary Raw | Company Overview Recognized as a Milwaukee Journal Sentinel Top Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We’re committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities. Job Summary The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management. Work Location This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events. Responsibilities & Qualifications Key Responsibilities Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities Translate business and strategic objectives into clear analytics, reporting, and data requirements Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools Document, present, and explain modeling methodologies and results for business partners and regulatory review Identify, evaluate, and integrate internal and external data sources to meet business needs Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions Promote analytics best practices and provide consultation on data-driven initiatives Evaluate third-party data, models, and analytical tools in partnership with vendors Required / Preferred Qualifications 6+ years of advanced analytics, data science, or predictive modeling experience 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing , rating, or risk-tiering models) Strong knowledge of P&C insurance data, data sources, and business processes Proficiency in Python, R, SAS , or similar statistical programming languages (experience with at least two preferred) Experience working with large datasets using SQL, Spark , or cloud-based data platforms Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku , or similar Strong written and verbal communication skills with the ability to explain complex analytics to business audiences Self-motivated, analytical, and collaborative mindset Education & Credentials (Preferred) Master’s degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research , or a related field P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA Why Join Us Work on high-impact analytics that directly influence pricing, underwriting, and risk decisions Collaborate with experienced analytics and insurance professionals Flexible work options (remote, hybrid, or office-based depending on location) Competitive compensation, benefits, and professional development opportunities #LI-BW1 Salary Statement The salary range for this position is $140,000-$180,000. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate. Benefits West Bend offers a comprehensive benefit plan including but not limited to: Medical & Prescription Insurance Health Savings Account Dental Insurance Vision Insurance Short and Long Term Disability Flexible Spending Accounts Life and Accidental Death & Disability Accident and Critical Illness Insurance Employee Assistance Program 401(k) Plan with Company Match Pet Insurance Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates Bonus eligible based on performance West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies. EEO West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion. |
| Salary Min | 140,000 |
| Salary Max | 180,000 |
| Salary Currency | USD |
| Salary Period | month |
| Source URL | https://careers-thesilverlining.icims.com/jobs/3518/senior-data-scientist/job |
| Apply URL | https://careers-thesilverlining.icims.com/jobs/3518/senior-data-scientist/job |
| First Seen At | 2026-05-31 18:41:10Z |
| Last Seen At | 2026-06-06 08:27:17Z |
| Last Checked At | 2026-06-06 08:27:17Z |
| Last Changed At | 2026-06-01 13:51:40Z |
| Inactive At | — |
| Source Posted At | 2026-03-04 05:00:00Z |
| Source Updated At | 2026-05-11 16:11:27Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-thesilverlining.icims.com/date=2026-06-06/2026-06-06T08-27-16-232Z-f2da4857cdd6926f5d39034227ea96e06883967bb6d86331395e5504a430409b.json |
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"description": "<h2>Company Overview</h2>\n<p>Recognized as a <em>Milwaukee Journal Sentinel</em> Top Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We’re committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.</p>\n<h2>Job Summary</h2>\n<p></p>The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management.\n<p> </p>\n<p> </p>\n<h2>Work Location</h2>\n<p>This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events. </p>\n<h2>Responsibilities & Qualifications</h2>\n<p> </p>\n<h3>Key Responsibilities</h3>\n<ul>\n <li>Design, develop, and maintain <strong>predictive models, algorithms, and analytical solutions</strong> supporting pricing, underwriting, claims, and other P&C insurance functions</li>\n <li>Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities</li>\n <li>Translate business and strategic objectives into clear analytics, reporting, and data requirements</li>\n <li>Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools</li>\n <li>Document, present, and explain modeling methodologies and results for business partners and regulatory review</li>\n <li>Identify, evaluate, and integrate internal and external data sources to meet business needs</li>\n <li>Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions</li>\n <li>Promote analytics best practices and provide consultation on data-driven initiatives</li>\n <li>Evaluate third-party data, models, and analytical tools in partnership with vendors</li>\n</ul>\n<h3>Required / Preferred Qualifications</h3>\n<ul>\n <li><strong>6+ years</strong> of advanced analytics, data science, or predictive modeling experience</li>\n <li><strong>3+ years</strong> of Property & Casualty insurance experience (strongly preferred in <strong>commercial P&C pricing</strong>, rating, or risk-tiering models)</li>\n <li>Strong knowledge of P&C insurance data, data sources, and business processes</li>\n <li>Proficiency in <strong>Python, R, SAS</strong>, or similar statistical programming languages (experience with at least two preferred)</li>\n <li>Experience working with large datasets using <strong>SQL, Spark</strong>, or cloud-based data platforms</li>\n <li>Familiarity with <strong>MLOps</strong> and machine learning platforms such as <strong>Databricks, Snowflake, Dataiku</strong>, or similar</li>\n <li>Strong written and verbal communication skills with the ability to explain complex analytics to business audiences</li>\n <li>Self-motivated, analytical, and collaborative mindset</li>\n</ul>\n<h3>Education & Credentials (Preferred)</h3>\n<ul>\n <li>Master’s degree or equivalent experience in <strong>Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research</strong>, or a related field</li>\n <li>P&C insurance credentials such as <strong>ACAS, FCAS, CPCU, or CSPA</strong></li>\n</ul>\n<h3>Why Join Us</h3>\n<ul>\n <li>Work on high-impact analytics that directly influence pricing, underwriting, and risk decisions</li>\n <li>Collaborate with experienced analytics and insurance professionals</li>\n <li>Flexible work options (remote, hybrid, or office-based depending on location)</li>\n <li>Competitive compensation, benefits, and professional development opportunities</li>\n</ul>\n<p> </p>\n<p>#LI-BW1</p>\n<h2>Salary Statement</h2>\n<p>The salary range for this position is $140,000-$180,000. </p>\n<p> </p>\n<p>The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. 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