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Intern Data Scientist Machine Learning Jobs in Georgia

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Will work closely with engineering, product, data science, and business teams to translate complex ...

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... This role requires advanced analytics, machine learning expertise, and strong problem-solving ...

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics.

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead ...

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead ...

Job Duties & Responsibilities • Apply machine learning algorithms and statistical models to large ... Data Science. • PhD preferred. • Minimum of 1 year of experience applying machine learning ...

Required Skills & Experience * 10+ years of experience in Data Science / Machine Learning, including 3+ years leading teams and hands-on work in LLMs / Generative AI . * Proven track record of ...

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning ...

Discovery--serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI. This role is designed for an elite practitioner with 15-18+ years of experience, including ...

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Intern Data Scientist Machine Learning information

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

Data Scientist

Loomis

Suwanee, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

With a network of nearly 200 branches, Loomis armored transportation, cash management centers, and cash inventory vaults keep cash flowing throughout financial institutions and retail businesses across the US. Loomis prides itself on providing employees with opportunities for career advancement and job satisfaction. In fact, many of our company's managers, vice presidents, and corporate executives started out in the branches as driver/guards and tellers. Our work can be challenging, but the thousands who have stayed with our company for decades will tell you that if you have the desire to learn and the drive to succeed, Loomis is the place to be. Come join our team!
Summary
The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions succeed.
We provide a collaborative and supportive environment that values the participation and contribution of all employees. We are looking for people who want to be challenged, solve complex problems, and feel connected to a larger purpose. Our mission-focused team, collaborative nature, and commitment lead dedication to client results.
Function
The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM-enabled support tools), and establish strong data quality and model governance practices.
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with engineering, product, implementation, and client-facing teams.
The ideal candidate combines strong statistical and machine learning expertise with practical engineering ability and a track record of delivering production-grade solutions in environments where communication, business processes, data quality, and operational constraints matter as much as model performance. This very technical person is capable of thinking in terms of "problem -> solution -> product -> value", not just "models".
Key Responsibilities
Forecasting & Advanced Analytics
  • Lead the design, development, and optimization of forecasting models for:

o Cash demand (branches, ATMs, retail locations, vaults)
o Labor and operational workload forecasting
  • Apply and evaluate time-series, probabilistic, and machine-learning techniques to improve forecast accuracy and stability.

  • Own model performance monitoring, drift detection, recalibration strategies, and continuous improvement.

AI, ML, & LLM Enablement
  • Design and implement LLM-based use cases to support internal teams (e.g., support, implementation, operations).

  • Develop approaches for prompt engineering, evaluation, and governance of LLM outputs.

  • Partner with engineering to integrate AI capabilities into production SaaS workflows.

  • Define metrics to measure effectiveness, accuracy, and operational impact (ROI) of AI solutions.

Data Quality, Governance & Model Risk
  • Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets.
  • Define validation rules, thresholds, and scoring mechanisms to support data confidence and forecast reliability.
  • Contribute to model documentation, explainability, and governance practices aligned with financial services expectations.
  • Support audit, compliance, and client due diligence inquiries related to data and models.
  • Technical Leadership & Collaboration

Required Qualifications
  • 6+ years of professional experience in data science, machine learning, or advanced analytics
  • Advanced proficiency with Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/Torch)
  • Strong SQL skills and experience working with messy, incomplete, high-volume operational data
  • Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)
  • Familiarity with metric design
  • Demonstrated delivery of products that influenced business decisions
  • Experience collaborating with engineering teams on model deployment and monitoring.
  • Proven ability to communicate complex concepts clearly and effectively.

Preferred Qualifications
  • Experience in FinTech, banking, payments, retail cash management, or operations
  • Experience identifying high-value data science opportunities in operational businesses
  • Hands-on LLM development experience
  • Familiarity with data quality and model governance frameworks

Ideal Candidates are:
  • Comfortable with ambiguity
  • Driven to elevate themselves by elevating others
  • Curious and life-long learners
  • Able to identify valuable problems before being asked
  • Pragmatic rather than purely academically focused
  • Capable of explaining very technical ideas to non-technical stakeholders
  • Willing to challenge their own and others' assumptions with evidence
  • Open to changing their mind when presented with new evidence

What Success Looks Like
• Forecasting models that are accurate, explainable, and trusted by clients and internal teams.
• AI and LLM use cases that measurably reduce operational effort and improve response quality.
• Strong data quality visibility that proactively identifies issues before they impact forecasts.
• Clear, well-documented models and methodologies that scale across clients and use cases.
• A collaborative, high-impact partnership with engineering, product, and client
Benefits:
Loomis offers one of the most comprehensive employee benefit packages in the industry, which includes:
  • Vacation and Sick Time (PTO) as well as Paid Holidays
  • Health & Dental Insurance
  • Vision Insurance
  • 401(k) Plan
  • Basic Life Insurance Plan
  • Voluntary Life Insurance Plan
  • Flexible Spending and Health Savings Account
  • Dependent Care Account
  • Industry-leading Training and Development

Loomis is an Equal Opportunity Employer and Drug Free Workplace. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.