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Apprentice Data Scientist Machine Learning Jobs (NOW HIRING)

Data Scientist / Machine Learning Engineer, GenAI We are not accepting C2C or 1099 arrangements. Location: Charlotte, NC or Irving, TX Work Model: Hybrid (3 days onsite per week) Duration: 12-month ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

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Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

What cities are hiring for Apprentice Data Scientist Machine Learning jobs? Cities with the most Apprentice Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Apprentice Data Scientist Machine Learning jobs? States with the most job openings for Apprentice Data Scientist Machine Learning jobs include:
Data Scientist/ ML engineer

Data Scientist/ ML engineer

Judge Group, Inc.

Irving, TX • Hybrid

$68 - $73/hr

Other

Posted 11 days ago


Job description

Location: Irving, TX Salary: $68.00 USD Hourly - $73.00 USD Hourly Description:
Data Scientist / Machine Learning Engineer, GenAI
We are not accepting C2C or 1099 arrangements.
Location: Charlotte, NC or Irving, TX
Work Model: Hybrid (3 days onsite per week)
Duration: 12-month contract (potential to extend or convert)
About the role
We're looking for a Data Scientist / Machine Learning Engineer to help build advanced analytics and Generative AI (GenAI) solutions for Corporate & Commercial Investment Banking (CCIB).
In this role, you will partner with engineering and business teams to design, develop, and deploy scalable machine learning and AI-driven solutions that drive insights, improve efficiency, and enable innovation across multiple lines of business.
What you'll do
  • Analyze large, complex datasets using SQL and statistical methods to identify trends and solve business problems
  • Design and build scalable data pipelines, feature engineering workflows, and machine learning models using Python or Java
  • Develop and evaluate ML models (e.g., Random Forest, XGBoost), including tuning and performance validation
  • Apply Generative AI tools (e.g., Gemini or similar LLMs) to accelerate analysis, automate workflows, and generate insights
  • Translate technical results into clear business recommendations using visualizations, reports, and presentations
  • Collaborate with engineering teams to deploy solutions and with stakeholders to align on business objectives
  • Contribute to complex, large-scale initiatives requiring strategic thinking and cross-functional coordination
Minimum qualifications
  • 5+ years of experience in software engineering, data science, or machine learning (or equivalent practical experience)
  • Experience with SQL and working with structured and semi-structured data
  • Proficiency in Python or Java for data analysis and ML development
  • Hands-on experience building, training, and evaluating machine learning models
  • Experience using Generative AI or large language models (LLMs), including prompt engineering or AI-assisted workflows
  • Ability to independently own projects from problem definition to delivery
Preferred qualifications
  • Experience in financial services, banking, or capital markets
  • Familiarity with cloud platforms and model deployment frameworks
  • Experience with big data or distributed systems
  • Exposure to real-time analytics or data engineering pipelines
About you
You are a self-starter who enjoys solving complex problems with data. You're comfortable working in ambiguous environments, collaborating across teams, and delivering impactful solutions. You combine strong analytical thinking with practical ML and GenAI skills, and you're excited to apply emerging AI technologies to real-world business challenges.
Additional details
  • Schedule: 3 days onsite per week (8 hours/day)

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!