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Remote Data Science Intern Jobs in Missouri (NOW HIRING)

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

$88K - $106K/yr

You will collaborate closely with data science and engineering stakeholders to define harmonized ... Remote-friendly working arrangements within Europe * Opportunity to work on a high-impact ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

The role offers significant autonomy, broad business exposure, and the chance to build scalable data science practices from the ground up. You'll work in a fast-paced, remote-first environment where ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

Our partner is looking for a Senior Data Scientist based in Netherlands. This is an exciting ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

This role sits at the intersection of software engineering, data science, and life sciences ... Fully remote role with flexible working hours supporting deep work and work-life balance.

... in remote, cross-functional, global teams. * Familiarity with data warehouse environments such as BigQuery, Snowflake, or Redshift is a plus. * Degree in Computer Science, Data Science, Statistics ...

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Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What cities in Missouri are hiring for Remote Data Science Intern jobs? Cities in Missouri with the most Remote Data Science Intern job openings:
Data Science Advisor - Hybrid

Data Science Advisor - Hybrid

Cigna

Saint Louis, MO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 228 frontline employees who took The Breakroom Quiz

42nd of 877 rated healthcare providers


Job description

Join Evernorth Health Services' Enterprise Data Science team and help solve healthcare's most complex challenges. As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth. This role offers the opportunity to work on high-impact initiatives, partner with senior leaders, and shape the future of data-driven healthcare solutions.

Responsibilities

  • Lead the design and delivery of advanced data science solutions that align to business and clinical priorities.

  • Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive measurable outcomes.

  • Translate complex data into clear insights and recommendations for business and technical stakeholders.

  • Partner with cross-functional teams (IT, Clinical, Operations) to deliver end-to-end analytics solutions.

  • Apply advanced analytical methods including segmentation, regression, and time-series analysis to solve business problems.

  • Create scalable data pipelines and leverage big data technologies to support analytics initiatives.

  • Present findings to senior leaders to influence strategy and decision-making.

  • Provide thought leadership and mentor others on data science best practices and emerging technologies.

Required Qualifications

  • 5+ years of experience in data science, advanced analytics, or a related field.

  • Strong programming skills in Python, R, SQL, or similar tools.

  • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

  • Experience developing predictive models using methods such as regression, decision trees, or neural networks.

  • Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS).

  • Knowledge of healthcare data and systems (e.g., claims data, ICD-10) and ability to apply insights to real-world challenges.

  • Ability to communicate complex findings to both technical and non-technical audiences.

  • Strong collaboration, problem-solving, and critical thinking skills.

Preferred Qualifications

  • Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar.

  • Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

  • Experience with data visualization tools such as Tableau.


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 107,700 - 179,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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