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Associate Data Scientist Jobs in South Carolina (NOW HIRING)

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing ...

Senior Cloud Data Architect

North Charleston, SC · On-site

$64.25 - $85.75/hr

Bachelor's Degree or higher in Computer Science, Engineering, Information Systems, or equivalent ... Associate) and typically 2 or more years' related work experience or an equivalent combination of ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

AI Architect, Manager

Greenville, SC · On-site +1

$59.25 - $78/hr

You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years. * Cross talent community skillset, one resource that ...

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$63.1K

$119.7K

How much do associate data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for associate data scientist in South Carolina is $63,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $55,200.00 per year, depending on experience, location, and employer.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in South Carolina? The most popular types of Data Scientist jobs in South Carolina are:
What are popular job titles related to Associate Data Scientist jobs in South Carolina? For Associate Data Scientist jobs in South Carolina, the most frequently searched job titles are:
What cities in South Carolina are hiring for Associate Data Scientist jobs? Cities in South Carolina with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in SC? For Associate Data Scientist jobs in SC, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in South Carolina as of May 2026, with employment types broken down into 43% Full Time, 54% Part Time, and 3% Temporary. Highlights an 13% Physical, 7% Hybrid, and 80% Remote job distribution, with an average salary of $63,137 per year, or $30.4 per hour.

AI Data Scientist

Munich Re

Columbia, SC • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.
 

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.

Purpose:

Use data and statistical analysis to drive business decisions and target improved results across various functional areas.

Roles & Responsibilities:

  • Execute AI/ML strategy, with the ability to contribute to strategy development as well.
  • Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.
  • Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.
  • Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
  • Work closely with data engineering teams to design and implement data pipelines and architectures.
  • Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
  • Participate in the development of predictive analytics and modeling presentations and present results/topics to stakeholders and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Required Technical Skills

  • Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn.
  • Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.
  • Experience with big data platforms is highly desirable.
  • Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus.
  • Strong understanding of data structures, algorithms, and software design patterns.
  • Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.
  • Strong commitment to testing, validation, and continuous improvement of models and workflows.
  • Experience with MLflow, including model management, versioning, and deployment.

Skills / Knowledge / Experience:

  • Develop and project manage modeling projects and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Mentor junior team members.
  • Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.
  • Please note, this is not a managerial role but has the potential to develop into one over time.

Education, Certifications & Designations:

  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

  • Two options for your health insurance plan (PPO or High Deductible)
  • Prescription drug coverage (included in your health insurance plan)
  • Vision and dental insurance plans
  • Short and Long Term Disability coverage
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.  

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Applicants requiring employer sponsorship of a visa will not be considered for this position.

Salary range: $150-170K base

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