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Data Science New Grad Jobs in Georgia (NOW HIRING)

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... This individual will play a key role in new product innovation, model development, generating ...

RELX

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... This individual will play a key role in new product innovation, model development, generating ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Actively seek out new business opportunities to leverage data science as a competitive advantage * 15% Technical Exploration & Development - Seek further knowledge on key developments within data ...

Munich Re

Data Scientist, AI

Atlanta, GA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... new sources are approved for integration. * Support the adoption of emerging analytical ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... new sources are approved for integration. * Support the adoption of emerging analytical ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... new sources are approved for integration. * Support the adoption of emerging analytical ...

AIG

Data Scientist, GenAI

Atlanta, GA

With the support and investment needed to explore new frontiers in generative AI, you'll be working ... Lead the development and successful delivery of data science and generative AI solutions in ...

Home Depot

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... Taking on new opportunities and tough challenges with a sense of urgency, high energy, and ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

In an increasingly connected world, massive amounts of structured and unstructured data open new ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

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All JobsData Science New Grad JobsData Science New Grad Jobs in Georgia

Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in Georgia? For Data Science New Grad jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in Georgia look for? The top searched job categories for Data Science New Grad jobs in Georgia are:
What cities in Georgia are hiring for Data Science New Grad jobs? Cities in Georgia with the most Data Science New Grad job openings:
Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Data Scientist

Data Scientist

RELX Group plc

Alpharetta, GA • On-site

Full-time

Posted 7 days ago

Job description

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact?
Do you enjoy solving complex analytical challenges, working with large-scale data, and helping teams deliver innovative solutions in a collaborative environment?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, 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 our Team
We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. This individual will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market.
About the Role
A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.
Responsibilities:
  • Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes
  • Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
  • Functional Knowledge: Conceptual and practical expertise in own area required
  • Business Expertise: Has knowledge of best practices and how subject matter expertise integrates with others; is aware of the competition and the factors that differentiate the company in the market
  • Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff
  • Problem Solving: Typically resolves problems using existing solutions
  • Impact: Works with minimal guidance
  • Interpersonal Skills: Explains difficult or sensitive information, models auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques
  • Supports existing models
  • Python experience required
  • Cloud experience preferred
  • Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes
  • Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources

Requirements:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master's/Ph.D. degree preferred. Actuarial experience/certification also preferred.
  • 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services
  • Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software
  • Experience manipulating and merging multiple large data sets in a distributed computing environment
  • Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models
  • Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala
  • Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000
U.S. National Base Pay Range: $95,300 - $158,800. 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.
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