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Python Data Scientist Jobs in Milwaukee, WI (NOW HIRING)

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Education in Computer Science, Software Engineering, Data Engineering, Data Science, or a related ... Strong proficiency in Python and SQL, with good software engineering habits-testing, version ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... Science, Data Engineering, Information Systems, or related field (or equivalent experience) * Experience with SQL and relational databases * Familiarity with at least one programming language (Python ...

Pwc

GenAI Python Systems Engineer-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ...

TEKsystems

AI Developer

Milwaukee, WI

$70 - $85/hr

... Python - Develop and maintain backend services, APIs, and integration layers - Build data pipelines that connect business data to AI workflows - Partner with data scientists to operationalize machine ...

New

TEKsystems

AI Developer

Milwaukee, WI

$70 - $85/hr

... Python - Develop and maintain backend services, APIs, and integration layers - Build data pipelines that connect business data to AI workflows - Partner with data scientists to operationalize machine ...

New

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site +1

... Python, and others. Data Extraction and Utilization: * Collaborate with the team to develop a ... Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics ...

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site

... Python, and others. Data Extraction and Utilization: * Collaborate with the team to develop a ... Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

... Python, and Scala. * Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable ... Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... Science, or a related field; or comparable experience. Minimum of 3 years' experience in data ... Python, R, PowerShell, or others). Strong Analytical and problem-solving skills Demonstrated ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Milwaukee, WI

Python Data Scientist information

See Milwaukee, WI salary details

$36.9K

$120.9K

$193.6K

How much do python data scientist jobs pay per year?

As of Jul 22, 2026, the average yearly pay for python data scientist in Milwaukee, WI is $120,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $134,000.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Milwaukee, WI? For Python Data Scientist jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Milwaukee, WI look for? The top searched job categories for Python Data Scientist jobs in Milwaukee, WI are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,927 per year, or $58.1 per hour.
NM Capital - Investment Data Analyst

NM Capital - Investment Data Analyst

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site

$86K - $130K/yr

Full-time

Posted 9 days ago

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

146th of 281 rated insurance

Job description

About the Job:
  • This role will focus on the data associated with NMC's investment transaction lifecycle; including deal sourcing, due diligence, valuation, portfolio monitoring, portfolio performance, and reporting to clients.
  • Manage, transform, and integrate portfolio and benchmark data to support advanced quantitative analysis, ensuring information is accurate, auditable, and analytically robust.
  • Develop and maintain investment performance measurement frameworks, including returns, benchmarks, attribution, and performance drivers at the asset, strategy, and portfolio level.
  • Design and deliver custom analyses and models to answer ad-hoc investment, portfolio management, and investor questions.
  • Identify, define, and refine key investment metrics and analytical views that inform investment decisions and support positive business outcomes.
  • Build and maintain Power BI dashboards that combine quantitative outputs and visual storytelling to support portfolio management and senior leadership.
  • Partner with investment, finance, and investor relations teams to support due diligence, investor requests, marketing materials, and quarterly performance reporting.
  • Engage users with analytically rigorous tools and datasets, creating a virtuous cycle where insights drive adoption and improved data quality.
  • Configure eFront and assist users with troubleshooting and best practices.
  • Contribute to the design and maintenance of AI-ready datasets by optimizing and enhancing datasets for consumption by investment professionals.
  • Clearly document analytical methodologies, assumptions, data standards, and repeatable processes.

What You'll Bring to the Role:
  • Bachelor's and/or master's degree in Finance, Economics, Statistics, Data Science, Computer Science, Financial Engineering, or a related quantitative field, or an equivalent combination of education and experience.
  • Two or more years of experience in a quantitative, analytics, investment, or performance measurement-focused role.
  • Experience with investment performance measurement, return calculations, or portfolio analytics.
  • Strong data-driven decision-making mindset with comfort working in ambiguous, unstructured problem spaces.
  • Process-oriented approach with the ability to design scalable, repeatable analytical solutions.
  • Intellectual curiosity and willingness to challenge assumptions, methodologies, and existing analytical approaches.
  • High attention to detail and a strong instinct to reconcile, validate, and pressure-test data and results.
  • Experience with Snowflake, Python, dbt, and PowerBI preferred.
  • Strong proficiency in Python for data analysis, including pandas, numpy, and analytical workflows.
  • Experience building custom investment analyses, performance calculations, and repeatable analytical pipelines.
  • Proficiency in Power BI, including data modeling and integrating quantitative outputs into dashboards.
  • Advanced proficiency in Excel, including modeling and validation of analytical results.
  • Proficiency in Snowflake and dbt to query and build datasets.
  • Ability to interpret, scrub, process, and clearly explain complex quantitative results to non-technical stakeholders

Skills You Will Have:
  • Adaptive Communication: Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences.
  • Attention to Detail: Focuses on specific details to spot and correct errors in advance of them being found and surpass quality expectations. Performs work with thorough proofreading for presentation, content, accuracy, and overall quality.
  • Financial Market Monitoring: Consistently tracks and analyzes financial market data and news, evaluates trends and events that may impact investment portfolios or financial decisions, and makes informed decisions based on this information. Stays up to date on economic indicators, market news, and global events, and understands how they relate to investment opportunities and risks.
  • Industry Knowledge: Demonstrates extensive knowledge of common practices, regulatory considerations, market trends and the competitive landscape within a particular industry / sector to better understand and address unique client requirements, challenges, and context.
  • Risk Evaluation: Assesses the significance of identified risks, makes judgments about the significance of the risk in relation to the organization's objectives and assesses whether the risk is acceptable or not. Considers factors such as the organization's risk appetite, risk tolerance, and risk management resources to help decision-makers determine which risks require further action and which can be accepted or tolerated.

Compensation Range:
Pay Range - Start:
$75,600.00
Pay Range - End:
$113,400.00
Geographic Specific Pay Structure:
Structure 110:
$83,200.00 USD - $124,800.00 USD
Structure 115:
$86,960.00 USD - $130,440.00 USD
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

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Hours and flexibility

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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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