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Intern Data Scientist Machine Learning Jobs in Texas

SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

Data Scientist

Austin, TX · On-site

$147.75 - $210.43/hr

The ideal candidate has a strong background in statistics, machine learning, and data analysis ... Master's degree in Statistics, Mathematics, Computer Science, or related field. * Proficiency in ...

Data Scientist - AI/ML

Alto, TX · On-site

$79.21 - $104.97/hr

This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Data Scientist Location : Plano, TX, 5900 West Plano Parkway, 75093 About the Role We're looking ... Apply AI and machine learning to improve operations and decision-making * Partner with business and ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

Showing results 21-40

Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Texas? The most popular types of Data Scientist Machine Learning jobs in Texas are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Texas? For Intern Data Scientist Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Texas look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Texas are:
What cities in Texas are hiring for Intern Data Scientist Machine Learning jobs? Cities in Texas with the most Intern Data Scientist Machine Learning job openings:

Data Scientist II

SWBC

San Antonio, TX • On-site

Full-time

Re-posted 12 days ago


SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely with senior team members to design, build, and deploy data science solutions within SWBC's modern cloud-native ecosystem and enterprise AI/ML platform.
Responsibilities:
• Design, develop, and deploy machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection.
• Contribute to the development and enhancement of Clara, SWBC's AI decision assistant, including supporting context engineering within Omni, prompt development, and model evaluation workflows.
• Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning.
• Develop and deploy AI/ML solutions within SWBC Intelligence, the enterprise multi-model AI orchestration platform, leveraging AWS Bedrock and AWS Sagemaker as directed by senior team members.
• Conduct exploratory data analysis and feature engineering using data sourced from SWBC's governed medallion architecture (Bronze - Silver - Gold) in Snowflake.
• Participate in the platform's Evaluation Harness process, including test case development, model benchmarking, and scoring framework contribution to ensure solution quality.
• Perform AI experimentation and prototyping within governed sandbox environments, including Snowflake Sandbox and Hex, ensuring adherence to data privacy and compliance requirements.
• Apply Responsible AI principles, including bias detection, model explainability, and fairness monitoring, to all model development activities.
• Collaborate with cross-functional teams including Analytics Engineering, Data Management, and business stakeholders to translate business problems into data science solutions.
• Communicate findings, model results, and recommendations to both technical and non-technical audiences through clear documentation, visualizations, and presentations.
• Stay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture.
Qualifications:
Required:
• Master's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline. Equivalent professional experience (5+ years) may be considered in lieu of an advanced degree.
• Minimum of two (2) years of progressive experience in data science, analytics, or machine learning roles.
• Proficiency in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent.
• Experience developing and deploying models within cloud-based AI/ML platforms, preferably AWS (SageMaker, S3) and Snowflake.
• Familiarity with MLOps tools and practices, including MLflow, experiment tracking, and model versioning.
• Proficiency in Hex for data science experimentation and prototyping.
• Understanding of statistical modeling, hypothesis testing, and experimental design.
• Ability to work with structured and semi-structured data, perform data cleaning, and conduct exploratory analysis.
• Strong communication skills with the ability to present findings to both technical and non-technical audiences.
• Ability to interpret ambiguity and work with minimal direction on defined project scopes.
• Ability to lift 20 lbs. of files, supplies, documents, or other related items.
Company:
SWBC is a provider of insurance, mortgage, and investment services to financial institutions, businesses, and individuals. Founded in 1976, the company is headquartered in San Antonio, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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