Entry-Level Data Scientist (Python) – Analytics

UST
Chicago, US

Job Description

Mar 21, 2026

Data Scientist (Python Developer)

Associate I - Data Science

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.

Visit us at UST.com.

You Are:

The Data Scientist (Entry Level) will work as a team member on managed outcome- and capacity-based data analytics and data science initiatives, including projects, Proof of Concepts (POCs), and Minimum Viable Products (MVPs).

The opportunity:

  • Data Science & Analytics
  • Delivery Participate as a team member in data analytics and data science projects, including managed outcome and capacity-based engagements.
  • Support the development and execution of POCs and MVPs to validate analytical approaches, models, and hypotheses. Assist in translating business and scientific problems into data-driven analytical solutions under supervision. Perform data exploration, data preparation, and feature engineering to support analytics and modeling activities.
  • Development & Implementation
  • Develop and maintain analytical scripts, models, and workflows using Python and relevant data science libraries. Implement statistical, machine learning, or analytical techniques as guided by senior data scientists or architects.
  • Support model testing, validation, and refinement to ensure accuracy and reliability of outputs. Contribute to code reviews, documentation, and version-controlled development practices.
  • Collaboration & Stakeholder
  • Support Work closely with senior data scientists, data engineers, and cross functional delivery teams. Participate in team discussions, sprint ceremonies, and knowledge sharing sessions. Support communication of analytical findings through clear documentation, visualizations, and presentations as needed.
  • Learn and apply industry best practices in data science, analytics, and responsible data usage. Stay current with emerging tools, frameworks, and techniques relevant to data science and analytics. Actively seek feedback and mentorship to improve technical and professional capabilities.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required .

What you need:

  • Strong foundational knowledge of Python for data analysis and development
  • Familiarity with Python libraries such as Pandas, NumPy, Matplotlib/ Seaborn, Scikit-learn Understanding of basic statistics, probability, and data analysis concepts
  • Exposure to data wrangling, exploratory data analysis (EDA), and data visualization
  • Basic understanding of machine learning concepts (supervised and unsupervised learning)
  • Technical Skills (Good to Have)
  • Exposure to Jupyter Notebooks or similar analytical environments
  • Familiarity with SQL or basic database querying concepts
  • Awareness of cloud-based analytics or data platforms (AWS, Azure, GCP - conceptual level)
  • Exposure to version control systems such as Git
  • Basic knowledge of data pipelines or data engineering concepts
  • Educational Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field Relevant academic projects, internships, or certifications in data science or analytics are a plus
  • Experience:
  • 0-2 years of experience in data science, analytics, or related roles
  • Entry-level candidates, recent graduates, or early-career professionals are encouraged to apply

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Compensation Range : $56,000-$84,000

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees ma

Skills & Requirements

Technical Skills

PythonPandasNumPyMatplotlibSeabornScikit-learnSQLJupyter NotebooksAWSAzureGCPproblem-solvingcollaborationcommunicationdata sciencemachine learning

Salary

$56+

year

Level

mid

Posted

3/25/2026

Apply Now

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