Data Scientist
Harnham
Chicago, IL · Posted October 26, 2026
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Where Chicago, IL ranks
Where Chicago, IL placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for government pay after cost of living$146k · of 18
- #1Cities with the most jobs that do not need a four-year degree in the Midwest684 jobs · of 51
- #1Cities with the most jobs that do not need a four-year degree in the Great Lakes684 jobs · of 36
- #1Best cities for software and engineering jobs in the Midwest1,140 openings · of 59
- #1Best cities for software and engineering jobs in the Great Lakes1,140 openings · of 48
- #1Best all-round cities for mid-career professionals in the Midwest80 / 100 · of 20
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 176 open data scientist listings that state pay, the middle half runs $127,000 to $183,000 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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Data Scientist – Predictive Analytics & Modeling
Hybrid (US-based) Salary up to $170,000 base + benefits
Are you a Data Scientist looking to apply your technical expertise to complex, real-world business challenges?
We’re partnering with a leading professional services organisation investing heavily in its data and analytics capabilities. This is an opportunity to join a growing team where Data Science plays a central role in improving operational efficiency, forecasting business performance, and supporting strategic decision-making.
You’ll work across the full Data Science lifecycle, from sourcing and transforming complex datasets to developing predictive models that deliver measurable business value. Working closely with technical teams and senior stakeholders, you’ll help translate business challenges into practical, scalable analytical solutions.
What you’ll be doing
Developing and deploying statistical and machine learning models to support forecasting, prediction, and optimisation
Working with complex datasets to identify trends, uncover insights, and inform strategic business decisions
Building and maintaining reliable data pipelines to support advanced analytics and modelling
Applying statistical techniques, experimentation, and hypothesis testing to solve business problems
Collaborating with senior stakeholders and cross-functional teams to translate business requirements into analytical solutions
Supporting the productionisation, monitoring, and ongoing improvement of predictive models
What we’re looking for
Commercial experience in Data Science, Predictive Analytics, or Applied Statistics
Strong foundations in statistical modelling, machine learning, and predictive analytics
Advanced hands-on experience with Python and SQL
Experience working with cloud-based data platforms such as AWS, Azure, Databricks, or Snowflake
Ability to independently own analytical projects from problem definition through to delivery
Strong communication skills, with the ability to explain technical findings to non-technical stakeholders
Experience within professional services or similarly complex business environments is advantageous
Why apply?
Competitive base salary up to $170,000 plus benefits
Hybrid working environment with flexibility
Opportunity to shape a growing Data Science function within an established global organisation
Work on high-impact projects with direct visibility across senior leadership
Exposure to modern data platforms, predictive modelling, and advanced analytics
Collaborative environment offering significant ownership and opportunities for professional growth
If you’re a Data Scientist who enjoys solving complex problems, taking ownership of projects, and seeing your work influence real business decisions, we’d welcome a conversation.
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