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Entry Level Data Science Jobs in Milwaukee, WI (NOW HIRING)

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Collect and analyze process data and evaluate simulation results to make engineering assessments ... We're solving the world's most difficult challenges through materials science. Our advanced ...

Collect and analyze process data and evaluate simulation results to make engineering assessments ... We're solving the world's most difficult challenges through materials science. Our advanced ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Building Science Testing Technician Intertek, a leading provider of quality and safety solutions to ... Provide assessment of data through reporting * Work utilizing drawings, specifications and diagrams

Building Science Testing Technician Intertek, a leading provider of quality and safety solutions to ... Provide assessment of data through reporting * Work utilizing drawings, specifications and diagrams

Entry-Level Field Testing Technicians

Waukesha, WI · On-site

$18 - $24.50/hr

Building Science Testing Technician Intertek, a leading provider of quality and safety solutions to ... Provide assessment of data through reporting * Work utilizing drawings, specifications and diagrams

This role provides design, drawings, specifications, instructions and other data required for the ... Bachelor of Science Degree in Engineering * 1-3 years of experience in engineering design and/or ...

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Entry Level Data Science information

See Milwaukee, WI salary details

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How much do entry level data science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level data science in Milwaukee, WI is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.06 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Milwaukee, WI? The most popular types of Data Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Entry Level Data Science jobs? Cities near Milwaukee, WI with the most Entry Level Data Science job openings:

Business Data Analyst

Iatinsurancegroup

Milwaukee, WI • On-site, Remote

$55K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

IAT Insurance Group has an immediate opening for a Business Analyst from our Milwaukee, Wisconsin or Naperville, Illinois locations. This position works closely with Business Solutions Leads, Architects, and other key IT resources to drive the planning and definition of new technology solutions and enhancements to existing solutions.

This role works a hybrid schedule that requires working from the office Monday through Wednesday, with the option of working Thursday and Friday remotely.

While we prefer candidates to work from one of our IAT office locations, we are open to considering fully remote arrangements for the ideal candidate.

Responsibilities:

  • Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization.
  • Translate business needs into clear functional specifications, source-to-target mappings, and user stories for data and reporting solutions.
  • Profile, validate, and analyze data by writing SQL queries against source systems and the Insights warehouse.
  • Interpret Duck Creek policy XML data structures and map these to Insights staging tables and columns.
  • Partner with developers and data engineers to ensure delivered solutions meet documented requirements.
  • Facilitate stakeholder meetings, present findings, and produce documentation tailored to technical and non-technical audiences.
  • Support data quality, governance, and reporting initiatives within the Data Management organization.
  • Assist support team in analysis of data issues.
  • Perform other duties as needed.

Qualifications:

Must Have:

  • Bachelor's degree in Computer Science, Information Systems, or similar technology-related field with 2+ years of related experience
  • In lieu of a bachelor's degree and 2 years of experience, we will consider a candidate with 7+ years of related experience
  • Demonstrated experience as a Business Analyst, with proven requirements-gathering and process-analysis skills.
  • Hands-on knowledge of the Duck Creek Policy platform.
  • Knowledgeable in Extract Mapper tool from Duck Creek.
  • Working knowledge of the Duck Creek Insights data warehouse.
  • Significant experience in the P&C insurance industry.
  • Proficiency in writing SQL queries for data analysis and validation.
  • Excellent oral and written communication skills.
  • To qualify, all applicants must be authorized to work in the United States and must not require, now or in the future, VISA sponsorship for employment purposes.

Preferred to Have:

  • P & C Insurance experience
  • Familiarity with bureau / statistical reporting and insurance regulatory data.
  • Exposure to Agile delivery and tools such as Azure DevOps or Jira.
  • Bachelor's degree in business, Information Systems, or a related field, or equivalent experience.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We maintain a drug-free workplace and participate in E-Verify.

Compensation:

Please note, that the annual gross salary range associated with this posting is $55,200 - $120,330. Actual salaries will vary based on factors such as a candidate's qualifications, skills, competencies, and geographical location related to this specific role. The total compensation will include a base salary, performance-based bonus opportunities, 401(K) match, profit-sharing opportunities, and more.

To view details of our full benefits, please visit https://www.iatinsurancegroup.com/careers/benefits

 

IAT Insurance Group is the largest private, family-owned property and casualty insurer in the U.S. Insurance Answers Together is how we define IAT, in letter and in spirit. We work together to provide solutions for people and businesses. We collaborate internally and with our partners to provide the best possible insurance and surety options for our customers.

At IAT, we're committed to driving and building an open and supportive culture for all. Our employees propel IAT forward - driving innovation, stable partnerships and growth. That's why we continue to build an engaging workplace culture to attract and retain the best talent.

We offer comprehensive benefits like:

  • 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid Days Off
  • 7% 401(k) Company Match and additional Profit Sharing
  • Hybrid work environment
  • Numerous training and development opportunities to assist you in furthering your career
  • Healthcare and Wellness Programs
  • Opportunity to earn performance-based bonuses
  • College Loan Assistance Support Plan
  • Educational Assistance Program
  • Mentorship Program
  • Dress for Your Day Policy

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We maintain a drug-free workplace and participate in E-Verify.