predictive modeler

American Family Insurance

<div>We&rsquo;re seeking a senior predictive modeler to join our Property &amp; Casualty Actuarial team to develop scalable analytics and predictive modeling solutions that drive business decisions. In this role, you&rsquo;ll explore and synthesize large, complex datasets; frame hypotheses and research approaches; and build, deploy, and monitor statistical and machine learning models (GLM/GBM preferred) that support pricing, reserving, and other actuarial objectives. You&rsquo;ll combine strong business acumen with advanced quantitative methods and modern software engineering practices&mdash;especially Python-based development, testing, and source control&mdash;to deliver reliable, production-ready solutions and actionable insights<p></p><p>
Position Compensation Range:</p>
$113,000.00 - $194,000.00<p></p><p>
Pay Rate Type:</p>
Salary<p></p><p><i>
Compensation may vary based on the job level and your geographic work location. </i><i>Relocation support is offered for eligible candidates.</i></p><p></p><p>
Responsibilities:</p><ul><li>Uses actuarial and technical knowledge to manage complex projects as assigned in such areas as product development and pricing.</li><li>Creates business application and modeling framework, for new datasets, and discovers insights and relationships from large/complex datasets through investigative research using advanced mathematical and/or statistical techniques.</li><li>Explores data using a variety of advanced statistical techniques to proactively identify relationships, create insights and answer business questions or guide future model development.</li><li>Builds the hypothesis, identify research data attributes and determine best approach to address business issues.</li><li>Combines business/actuarial acumen with mathematical capabilities to build complex predictive models to support business objectives.</li><li>Builds complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes.</li><li>Incorporates findings and provides industry and competitor insights as part of model development and enhancement.</li><li>Researches and maintains awareness of industry best practices and business strategies.</li><li>Brings new and innovative ideas and approaches to develop business solutions.</li><li>Maintains standard documentation on assigned projects/tasks.</li><li>Consults with other departments by answering inquiries and providing explanations of an business/actuarial nature.</li><li>May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.</li></ul><p><br>
Requirements:</p><ul><li>Deployed and monitored predictive models in production (preference for GLM/GBM), partnering with actuarial and engineering teams to ensure scalable, governed, and repeatable pricing/reserving workflows.</li><li>Advanced programming proficiency with a strong preference for Python; build robust, tested analytics pipelines and model code for end-to-end actuarial use cases (data prep, modeling, validation, and automation).</li><li>Preferred experience in designing and deploying AI/ML solutions to solve business problems, demonstrating a pragmatic approach to solution-selection and an understanding of when a non-AI approach is optimal.</li><li>Demonstrated experience providing customer-driven solutions, support or service.</li><li>Ability to work as part of a team and to communicate effectively.</li><li>Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.</li><li>Understanding of software development best practices including source control, coding standards and testing frameworks.</li><li>Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.</li><li>Demonstrated experience working with large, complex datasets using big data technologies and script.</li><li>Solid knowledge and understanding managing data to scale using data summarization, query and analysis software and tools.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Additional Information</b></h3><ul><li><p>
Offer to selected candidate will be made contingent on the results of applicable background checks</p></li><li><p>
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions</p></li><li><p>
Sponsorship will not be considered for this position unless specified in the posting</p></li></ul><p></p><div>
Licenses:<br>
<ul><li>Not Applicable.</li></ul><br>
Travel Requirements<br>
<ul><li>Up to 10%.</li></ul><br>
Physical Requirements<br>
<ul><li>Work that primarily involves sitting/standing.</li></ul><br>
Working Conditions<br>
<ul><li>Not Applicable.</li></ul></div><p></p><p>
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.</p><p></p><p>
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</p><p></p><p>
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.</p><p></p>
#LI-TB1</div>

Senior Actuarial Data Scientist (Hybrid)

Key Marketing Advantage

<p>Job Overview:</p><p>Database Marketing Agency seeking a senior level SAS Modeler &amp; Programmer with practical experience in model development for various direct marketing objectives.</p><p>Capable to transition existing SAS models to a more robust analytic platform &ndash; currently R is being used for new and SAS transition models as is Python</p><p>Local candidates only (CT, NY, NJ)</p><p><b>Responsibilities:</b></p><p>Development and maintain customer acquisition/retention/reactivation models as well as database optimization, response analysis and lifetime value models</p><p>Data Preparation for modeling, including working with diverse client files and pre-modeling data manipulation</p><p>Manage modeling and database development and coordinate with existing analytic &amp; programming team</p><p>This is a client facing position including preparation &amp; presentation of model reports, conclusions and relevant findings We are seeking a talented Senior Data Modeler to join our team. The ideal candidate will be responsible for designing and implementing complex data models, ensuring data accuracy, and optimizing data processes. If you are passionate about data modeling and have expertise in SQL, Agile methodologies, analytics, AWS, Hadoop, ETL, RedShift, RostGres, Python, Informatica, and other related tools, we want to hear from you.</p><p><b>Requirements:</b></p><p>Need solid oral and written communication skills, especially in database design and programming concepts and methods.</p><p>Documentation and organizational aptitude are a must.</p><p>Take business requirements and translate into analytics and data development actions.</p><p>Professional experience in data reporting and/or visualization tools (PowerBI a plus) and advanced Excel usage.</p><p>Ability to work in a fast paced environment, manage multiple projects and meet strict deadlines.</p><p><b>Technical Qualifications: </b></p><p>Candidate must be proficient in:</p><p>SAS with experience building linear and logistic regression models for various predictive modeling objectives in direct and digital marketing.</p><p>Conversant and experienced in modern programming languages and platforms, especially database systems (and SQL development) both in-house and in the cloud.</p><p>AWS platform engineering and supporting containerization (e.g. docker) and ETL tooling on AWS stack.</p><p>Additional knowledge and hands on experience in any/all of the following is a plus:</p><p>&middot; Familiarity with demographic, interest and transactional data</p><p>&middot; Database Design, Development and Implementation</p><p>&middot; Digital and email online platforms</p><p><b>Education and Job experience requirements:</b></p><p>&middot; MS in statistics, mathematics, computer science, or other quantitative discipline is preferred, BS in same fields would be acceptable depending on work experience</p><p>&middot; 5+ years professional experience in a data driven role</p><p>&middot; Excellent communication skills with the ability to interact with clients</p><p>If you are a dedicated professional and possess the required qualifications, we encourage you to apply for this exciting opportunity.Job Overview:</p><p>We are seeking a talented Senior Data Modeler to join our team. We are seeking candidates local to Newtown, CT. The ideal candidate will be responsible for designing and implementing complex data models, ensuring data accuracy, and optimizing data processes. If you are passionate about data modeling and have expertise in SQL, Agile methodologies, analytics, AWS, Hadoop, ETL, Python, Informatica, and other related tools, we want to hear from you.</p><p>Job Type: Full-time</p><p>Pay: From $88,005.14 per year</p><p>Experience:</p><ul><li>Data modeling: 1 year (Preferred)</li></ul><p>Ability to Commute:</p><ul><li>Newtown, CT 06470 (Required)</li></ul><p>Work Location: In person</p>

Sr. SAS Modeler and Programmer

Midwest Employers Casualty

<div><h2 class="jobSectionHeader"><b>Company Details
</b></h2><p></p><div><div><div><p><b>Why MEC?</b></p>
<p>
At Midwest Employers Casualty (MEC), we combine the stability of a Fortune 500 company with the agility of an innovative team. We are passionate about improving the quality of life for employees severely injured on the job and helping companies understand and mitigate risk. Our culture values collaboration, curiosity, and continuous learning. If you want to make an impact, work on meaningful projects, and grow your career in a supportive environment, MEC is the place for you.</p><p><br>
Company URL: https://www.mecasualty.com</p>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><p>We have an opportunity for a <b>Senior Actuarial Analyst</b> to join our MEC team with a primary focus on <b>Research and Innovation</b>. This role is ideal for someone who thrives on advancing strategy through analytics and technology. You will help to maintain and enhance our pricing model and account impact testing system, while contributing to projects that support both Actuarial and broader company initiatives, including predictive modeling and Generative AI applications.</p><p>
This position will also offer exposure to our Reserving team, with potential for future rotation into core work for this critical function. You will work on projects that move MEC forward, leveraging advanced programming and actuarial skills to deliver insights that shape business decisions.</p><p>
MEC offers a highly competitive actuarial exam study program, with salary adjustments for exam success.</p><div><b>
Core Responsibilities</b></div><ul><li>
Maintain and improve MEC&rsquo;s pricing model and account testing system, ensuring accuracy and scalability.</li><li>
Lead research-driven projects that advance company strategy, including predictive modeling and Generative AI initiatives.</li><li>
Lead and coordinate complex actuarial analyses for pricing, modeling and research functions.</li><li>
Collaborate with Actuarial leadership on innovation opportunities and special projects.</li><li>
Ensure data integrity and optimize processes for efficiency and accuracy.</li><li>
Communicate complex findings clearly to technical and non-technical stakeholders.</li><li>
Provide exposure and support to Reserving functions, with potential for future rotation.</li><li>
Stay current on emerging technologies and actuarial best practices.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in mathematics, statistics, actuarial science, or a related quantitative field.</li><li>
Pursuit of actuarial designation through the Casualty Actuarial Society or Society of Actuaries (General Insurance track only) is required (CAS preferred).</li><li>
5+ years related work experience preferred.</li><li>
Advanced knowledge in actuarial reserving and ratemaking methodologies.</li><li>
Strong programming skills in SQL and Python (required).</li><li>
Experience with predictive modeling techniques and Generative AI applications preferred.</li><li>
Familiarity with business intelligence and related tools (Power BI) a plus.</li><li>
Experience with programming collaboration tools like Git a plus.</li><li>
Advanced analytical and problem-solving skills.</li><li>
Excellent communication skills, able to convey technical concepts clearly.</li><li>
Ability to manage multiple priorities and deliver results in a dynamic environment.</li><li>
Collaborative mindset with a passion for innovation.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Additional Company Details
</b></h2><div><div><div>We do not accept any unsolicited resumes from external recruiting agencies or firms.<br>
<br>
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
</div></div></div><h2 class="jobSectionHeader"><b>Sponsorship Details
</b></h2><div><div><div>Sponsorship not Offered for this Role</div></div></div></div>

Senior Actuarial Analyst

Berkley

<div>Company Details:
<p></p><p><b>
Why MEC?</b></p><p>
At Midwest Employers Casualty (MEC), we combine the stability of a Fortune 500 company with the agility of an innovative team. We are passionate about improving the quality of life for employees severely injured on the job and helping companies understand and mitigate risk. Our culture values collaboration, curiosity, and continuous learning. If you want to make an impact, work on meaningful projects, and grow your career in a supportive environment, MEC is the place for you.</p><p><br>
Company URL: https://www.mecasualty.com</p>
Responsibilities:
<p>
We have an opportunity for a <b>Senior Actuarial Analyst</b> to join our MEC team with a primary focus on <b>Research and Innovation</b>. This role is ideal for someone who thrives on advancing strategy through analytics and technology. You will help to maintain and enhance our pricing model and account impact testing system, while contributing to projects that support both Actuarial and broader company initiatives, including predictive modeling and Generative AI applications.</p><p>
This position will also offer exposure to our Reserving team, with potential for future rotation into core work for this critical function. You will work on projects that move MEC forward, leveraging advanced programming and actuarial skills to deliver insights that shape business decisions.</p><p>
MEC offers a highly competitive actuarial exam study program, with salary adjustments for exam success.</p><div><b>
Core Responsibilities</b></div><ul><li>
Maintain and improve MEC&rsquo;s pricing model and account testing system, ensuring accuracy and scalability.</li><li>
Lead research-driven projects that advance company strategy, including predictive modeling and Generative AI initiatives.</li><li>
Lead and coordinate complex actuarial analyses for pricing, modeling and research functions.</li><li>
Collaborate with Actuarial leadership on innovation opportunities and special projects.</li><li>
Ensure data integrity and optimize processes for efficiency and accuracy.</li><li>
Communicate complex findings clearly to technical and non-technical stakeholders.</li><li>
Provide exposure and support to Reserving functions, with potential for future rotation.</li><li>
Stay current on emerging technologies and actuarial best practices.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in mathematics, statistics, actuarial science, or a related quantitative field.</li><li>
Pursuit of actuarial designation through the Casualty Actuarial Society or Society of Actuaries (General Insurance track only) is required (CAS preferred).</li><li>
5+ years related work experience preferred.</li><li>
Advanced knowledge in actuarial reserving and ratemaking methodologies.</li><li>
Strong programming skills in SQL and Python (required).</li><li>
Experience with predictive modeling techniques and Generative AI applications preferred.</li><li>
Familiarity with business intelligence and related tools (Power BI) a plus.</li><li>
Experience with programming collaboration tools like Git a plus.</li><li>
Advanced analytical and problem-solving skills.</li><li>
Excellent communication skills, able to convey technical concepts clearly.</li><li>
Ability to manage multiple priorities and deliver results in a dynamic environment.</li><li>
Collaborative mindset with a passion for innovation.</li></ul>
Additional Company Details: We do not accept any unsolicited resumes from external recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship Details: Sponsorship not Offered for this Role</div>

VAM SYSTEMS

<div><b>Job Description</b><p><br>
We are currently looking Data Scientist for our Qatar operations with the following terms &amp; conditions.</p><p>
Core Responsibilities:</p><p>
Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.</p><p>
Perform data pre-processing, feature engineering, and model selection independently.</p><p>
Build and maintain automated model pipelines including training, validation, scoring and monitoring.</p><p>
Implement model drift detection, retraining logic, and performance diagnostics.</p><p>
Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.</p><p>
Expertise Required</p><p>
Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)</p><p>
Strong command of SQL arid handling large datasets (via warehouse or lake)</p><p>
Experience deploying models using MLflow, Airflow, Docker, or similar tools</p><p>
Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)</p><p>
Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series</p><p>
Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases</p><p>
Joining time frame: 2 weeks (maximum 1 month)</p></div><p></p>

Data Scientist - Python- Banking

Emory Healthcare

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  Be inspired. Be valued. Belong.
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
 <br/>
 <br/>
 <ul>
  <li>
   Comprehensive health benefits that start day 1
  </li>
  <li>
   Student Loan Repayment Assistance &amp; Reimbursement Programs
  </li>
  <li>
   Family-focused benefits
  </li>
  <li>
   Wellness incentives
   <br/>
   <br/>
  </li>
 </ul>
 Ongoing mentorship, development, leadership programs...and more!
 <br/>
 <br/>
 Remote position, however candidates must reside in one of the following states: Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or Wisconsin.
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 The Data Scientist will play a central role in advancing data‑driven decision‑making across the organization, with a strong focus on improving clinical outcomes through analysis. This position is responsible for developing predictive models and analytical frameworks that uncover the drivers of key operational metrics such as length of stay, patient retention, transfer risk, and throughput bottlenecks.
 <br/>
 <br/>
 Working closely with clinical, operational, and technical teams, the Data Scientist will design and implement statistical models, machine learning pipelines, and natural language processing solutions that leverage both structured and unstructured healthcare data. The role also includes contributing to MLOps practices to ensure scalable, reliable deployment of models into production environments.
 <br/>
 <br/>
 This position is ideal for someone who thrives at the intersection of advanced analytics and real‑world healthcare challenges&mdash;someone who can translate complex data into actionable insights that meaningfully improve patient care and organizational performance.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead development of advanced models and experimentation frameworks.
  </li>
  <li>
   Design, build, and maintain end‑to‑end machine learning pipelines in a cloud based framework.
  </li>
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   Develop and refine NLP pipelines to extract structured information from unstructured clinical documentation.
  </li>
  <li>
   Mentor junior data scientists and review code and methodologies.
  </li>
  <li>
   Own domain-specific analytics solutions and stakeholder relationships.
  </li>
  <li>
   Applying statistical techniques to improve clinical workflows
  </li>
  <li>
   Ensure model governance and documentation standards are met.
  </li>
  <li>
   Explore large datasets to identify patterns, trends, and insights.
  </li>
  <li>
   Create visualizations (such as charts, graphs, and dashboards) to communicate findings effectively.
  </li>
  <li>
   Apply statistical techniques to analyze data and draw meaningful conclusions.
  </li>
  <li>
   Collaborate with data scientists to build predictive models when necessary.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   Experience in StrataJazz or similar decision support system (Data sources include electronic health records (e.g., EPIC), decision support systems (e.g, EPSi, StrataJazz), and other healthcare systems.)
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   HIPAA compliance or experience with OMOP/standardized data models.
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   HL7/FHIR standards and Data Ethics/Privacy.
  </li>
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   Agile experience
  </li>
  <li>
   JUDGEMENT: Leads a team - Helps develop and implement a solution and/or analytical strategy for the group - Manage customer relationships, communicating results and recommendations to project sponsors, clients &amp; various senior level audiences - Guide decision-making through data-driven recommendations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education: A bachelors degree, a master's degree is preferred
  </li>
  <li>
   Experience: At least 5 years of experience either in healthcare or data analytics - At least 2 years of experience working for payor companies or healthcare systems - At least 2 years of experience in relational database - Proficient in SQL and at least 1 other programming languages (e.g., Python, R, SAS) - Experience in statistical modeling, machine learning, AI - Excellent presentation skills - Experience in strategic planning and workflow optimization - Mentor and coach the broader analytic team and service line operation leaders
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   <br/>
  </li>
 </ul>
 <strong>
  Additional Details
  <br/>
  <br/>
 </strong>
 Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
 <br/>
 <br/>
 Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare&rsquo;s Human Resources at careers@emoryhealthcare.org . Please note that one week's advance notice is preferred.
</div>


Data Scientist

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703 predictive modeler jobs Near Me

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Senior Actuarial Data Scientist (Hybrid)

Sr. SAS Modeler and Programmer

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Senior Actuarial Analyst

Data Scientist - Python- Banking

Data Scientist