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Apprentice Data Scientist Machine Learning Jobs in Georgia

LexisNexis

Senior Data Scientist II

Alpharetta, GA · On-site

Design, build, and implement machine learning and statistical models to support analytics and AI ... Requirements: * Proven Data Science experience, Advanced academic experience-such as a Master ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

Deloitte

Data Scientist

Atlanta, GA · On-site

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ... Develop and train machine learning models to solve problems such as prediction, classification, and ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Research, design, and develop machine learning models for supply chain applications that drive measurable improvements in operational efficiency and planning accuracy * Perform exploratory data ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Research, design, and develop machine learning models for supply chain applications that drive measurable improvements in operational efficiency and planning accuracy * Perform exploratory data ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

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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 are the most commonly searched types of Data Scientist Machine Learning jobs in Georgia? The most popular types of Data Scientist Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Apprentice Data Scientist Machine Learning jobs? Cities in Georgia with the most Apprentice Data Scientist Machine Learning job openings:
Apprentice Data Scientist Machine Learning jobs near you

Senior Data Scientist II

LexisNexis

Alpharetta, GA • On-site

Full-time

Medical, Life

This job post has expired today. Applications are no longer accepted.

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 rated business services

Job description

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About the Team:
You'll join a collaborative, high-impact analytics team that partners closely with product, engineering, and business leaders to turn complex data into trusted, production-ready insights that drive smarter decisions across the insurance lifecycle.
About the Role:
The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. This role independently executes complex analytical work, translating well defined problem statements into scalable machine learning solutions across the full modeling lifecycle.
This position is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems. The Senior Data Scientist II collaborates closely with engineering, product, and platform teams and communicates analytical insights to both technical and non technical stakeholders.
Key Responsibilities:
  • Design, build, and implement machine learning and statistical models to support analytics and AI use cases.
  • Independently execute complex analytical projects within defined scope, including data exploration, feature engineering, modeling, and evaluation.
  • Contribute to end-to-end AI solutions, supporting data pipelines, model training, inference, and integration with downstream systems.
  • Support the development and integration of model inference services and APIs that enable real-time or near-real-time AI workflows.
  • Operationalize models in production or near-production environments, following established engineering and analytics best practices.
  • Collaborate with engineering and platform teams on APIs, services, and analytics infrastructure.
  • Develop reusable analytical components that support scalability and maintainability.
  • Participate in technical design discussions and code reviews, reinforcing team standards and best practices.
  • Communicate analytical results, model performance, and limitations to internal stakeholders.
  • Support model monitoring, documentation, validation, and ongoing improvement activities.

Requirements:
  • Proven Data Science experience, Advanced academic experience-such as a Master's degree or Doctoral degree in a related discipline-may substitute for part of the required experience
  • Solid experience in applying machine learning and statistical techniques to real-world problems.
  • Hands-on experience developing, evaluating, and iterating on predictive and machine learning models.
  • Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.
  • Experience working with structured and unstructured data at scale.
  • Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch).
  • Experience working with SQL and relational or cloud-based data platforms.
  • Hands-on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost-aware execution.
  • Exposure to modern AI frameworks and tools, including large language model (LLM)-based solutions and retrieval-augmented workflows.
  • Experience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions.
  • Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
  • Ability to independently execute complex analytical work within defined scope.
  • Clear and effective communicator, able to explain technical ideas in a way that's easy for non-technical audiences to understand.

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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