Help drive best practices and continuous improvement on the data science team; influencing model ... design and experimentation strategy through planning, audit, peer review, and other coaching What ...
Help drive best practices and continuous improvement on the data science team; influencing model ... design and experimentation strategy through planning, audit, peer review, and other coaching What ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
Sr Data Scientist
Milwaukee, WI · On-site
Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.
Sr Data Scientist
Milwaukee, WI · On-site
Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.
Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs for healthcare payer clients * Manage teams both onshore and offshore across Data Science & Machine ...
New
Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs for healthcare payer clients * Manage teams both onshore and offshore across Data Science & Machine ...
New
Mathematical Statistician (Data Scientist) - Direct Hire
Milwaukee, WI · On-site
$74K/yr
Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science projects. * Experience preparing and analyzing structured and unstructured datasets to ...
Mathematical Statistician (Data Scientist) - Direct Hire
Milwaukee, WI · On-site
$74K/yr
Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science projects. * Experience preparing and analyzing structured and unstructured datasets to ...
Work you'll do As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for * Designing, developing, and deploying artificial intelligence, machine learning ...
Work you'll do As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for * Designing, developing, and deploying artificial intelligence, machine learning ...
Mathematical Statistician (Data Scientist) - Direct Hire
Milwaukee, WI · On-site
$74K/yr
Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science projects. * Experience preparing and analyzing structured and unstructured datasets to ...
Mathematical Statistician (Data Scientist) - Direct Hire
Milwaukee, WI · On-site
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Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science projects. * Experience preparing and analyzing structured and unstructured datasets to ...
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Milwaukee, WI · On-site
$112K - $135K/yr
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Applied AI Health Data System Engineer-Senior Manager
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Milwaukee, WI · Hybrid
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Quick apply
Senior Data Analyst
Milwaukee, WI · Hybrid
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Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements ...
Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements ...
Data & Reporting Business Analyst
Milwaukee, WI · Hybrid
$60K - $90K/yr
Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, Actuarial Science, or Business Analytics) OR equivalent professional ...
Data & Reporting Business Analyst
Milwaukee, WI · Hybrid
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$193K - $250K/yr
Bachelor's degree in Data Science, Computer Science, or related field required. * Master's degree or MBA preferred. * 10+ years in data and analytics leadership roles, including 5+ years leading ...
Director, AI and Data
Milwaukee, WI · On-site
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Data & Reporting Business Analyst
Milwaukee, WI · Hybrid
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Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment * Drive consolidation of insights across ...
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S. based, data science consulting firm specializing in building mission-specific, artificial intelligence (AI) technologies to support and transform our partners and clients. Our scientists and ...
S. based, data science consulting firm specializing in building mission-specific, artificial intelligence (AI) technologies to support and transform our partners and clients. Our scientists and ...
Summary The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative ...
Summary The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative ...
Research Scientist I
Milwaukee, WI · On-site
Summary The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative ...
Research Scientist I
Milwaukee, WI · On-site
Summary The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative ...
AI Project Data Modelling Analyst
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Bachelor's degree preferably in Data Science, Computer Science, Statistics or Engineering * Understanding of JCI data environment is an advantage * Knowledge of AI tools especially Palantir Foundry ...
AI Project Data Modelling Analyst
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NM Capital - Investment Data Analyst
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NM Capital - Investment Data Analyst
Milwaukee, WI · On-site
$86K - $130K/yr
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Data Science information
See Racine, WI salary details
$35.2K - $48.7K
2% of jobs
$48.7K - $62.3K
3% of jobs
$62.3K - $75.8K
6% of jobs
$75.8K - $89.4K
9% of jobs
$93.7K is the 25th percentile. Wages below this are outliers.
$89.4K - $102.9K
15% of jobs
The median wage is $112K / yr.
$102.9K - $116.5K
22% of jobs
$123.9K is the 75th percentile. Wages above this are outliers.
$116.5K - $130K
32% of jobs
$130K - $143.6K
3% of jobs
$143.6K - $157.1K
4% of jobs
$157.1K - $170.7K
1% of jobs
$170.7K - $184.3K
2% of jobs
$35.2K
$115.1K
$184.3K
How much do data science jobs pay per year?
Is data science a good career?
What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?
Is 40 too late for data science?
What are some common challenges faced by data scientists when working with real-world datasets?
What is data science?
What jobs can a Data Scientist do?
What is the difference between Data Science vs Data Analyst?
| Aspect | Data Science | Data Analyst |
|---|---|---|
| Required skills | Statistics, programming (Python, R), machine learning | Data visualization, SQL, basic statistics |
| Work environment | Developing models, predictive analytics, research | Reporting, data cleaning, descriptive analysis |
| Tools used | Python, R, Jupyter, TensorFlow | Excel, SQL, Tableau, Power BI |
| Industry usage | Tech, finance, healthcare, e-commerce | Retail, marketing, finance, healthcare |
Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.
What work do you do as a Data Scientist?
What Does a Data Scientist Do?

Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 8 days ago
Job description
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world.
Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career.
Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company and learn more about our cultural values here .
Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability.
What this position entails
Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work / life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve, where our scoring products are industry standards.
The Lead Data Scientist will be integral as we continue to bring innovative new products to market in response to client needs and opportunities. The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and Natural Language Processing (NLP) expertise to develop intimate knowledge of our current product capabilities and provide advanced analytical expertise to enhance these products through new solutions. Projects will include construction, validation, documentation and delivery of sophisticated GenAI and machine learning solutions for a variety of healthcare-related problems.
What you will be doing
The key area of responsibility in the role of Lead Data Scientist is to work in conjunction with our business development and product teams to develop and implement commercially viable model-based solutions to the healthcare, insurance, life sciences and adjacent markets.
- Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
- Work extensively with available GenAI models; construct exciting solutions to internal and external use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership
- Coordinate with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as well as support existing industry leading products
- Help drive best practices and continuous improvement on the data science team; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching
What we need
- 10+ years of professional experience using AI/ML to create high return on investment commercial data science solutions
- Expertise with Electronic Health Records or unstructured data analysis
- Expert data scientist with demonstrable capability building traditional AI/ML models
- Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods
- Unsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms
- Model Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks
- Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies
- NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition
- Expert understanding of NLP and generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process
- Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools)
- Expert level Python programmer, with some experience in R and/or SQL
- Expert user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration
- Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management
- Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux
- Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)
What you bring to the table
- Excellent communication skills, in person and through phone / email
- Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver
- Customer-centric approach to finding solutions
- Focused on results and able to explain findings in a way that answers business problems
- Constructive, "can do" approach to overcoming obstacles
- Can quickly learn new techniques and technologies
- Proactive in identifying process improvements
- Strong work ethic, willing to pitch in wherever needed
- Thrive in a small team, without micromanagement
- Ability to manage projects and timelines, including directing the work of others
Wish List
- PhD in relevant field or Actuarial designation (FCAS/FSA)
- Experience in one of the following industries: healthcare, insurance (L&H or P&C), finance, life sciences, or similar fields
- Experience at an InsurTech or FinTech
- Past experience working in a HIPAA / PHI / PCI compliant environment
Location
The expected application deadline for this job is December 31, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $117,500 - $249,780. For candidates residing in:
- Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia:
- $135,125 - $222,985 if overall experience is less than 15 years; and
- $151,340 - $249,780 for experience greater than 15 years.
- All other states:
- $117,500 - $193,900 if overall experience is less than 15 years; and
- $131,600 - $217,200 for experience greater than 15 years.
A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Benefits
We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:
- Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners
- Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges
- 401(k) Plan - Includes a company matching program and profit-sharing contributions
- Discretionary Bonus Program - Recognizing employee contributions
- Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses
- Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
- Holidays - A minimum of 10 paid holidays per year
- Family Building Benefits - Includes adoption and fertility assistance
- Paid Parental Leave - Up to 11 weeks of paid leave for employees who meet eligibility criteria
- Life Insurance & AD&D - 100% of premiums covered by Milliman
- Short-Term and Long-Term Disability - Fully paid by Milliman
Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
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About Milliman IntelliScript
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Brookfield, WI, US
Year founded
2001