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Relocation Package Data Science Jobs in Georgia (NOW HIRING)

LexisNexis

Sr Data Scientist I (Hybrid)

Alpharetta, GA · On-site

Would you like to apply advanced actuarial science and machine learning to build predictive models ... data manipulation and ML packages. pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and ...

Equifax, Inc.

Senior Data Scientist

Atlanta, GA · On-site

Are you ready to shape the future of Data Science innovation? Do you thrive on building cutting ... packages, 401k matching, paid time off, and organizational growth potential through our online ...

RELX

Senior Data Scientist I

Alpharetta, GA

Would you like to apply advanced actuarial science and machine learning to build predictive models ... data manipulation and ML packages. pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and ...

RELX

Sr Data Scientist I (Hybrid)

Alpharetta, GA · On-site

Would you like to apply advanced actuarial science and machine learning to build predictive models ... data manipulation and ML packages. pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and ...

Equifax, Inc.

Data Scientist

Atlanta, GA · On-site

We are seeking an experienced and driven Data Science expert to join the Analytical Capabilities ... packages, 401k matching, paid time off, and organizational growth potential through our online ...

Prescient Edge

SME- Data Scientist

Augusta, GA · On-site

To that end, we provide employees with a best-in-class benefits package that includes: * A ... Demonstrated experience and proficiency with data science techniques including (but not limited to ...

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Relocation Package Data Science information

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Georgia? For Relocation Package Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Georgia look for? The top searched job categories for Relocation Package Data Science jobs in Georgia are:
What cities in Georgia are hiring for Relocation Package Data Science jobs? Cities in Georgia with the most Relocation Package Data Science job openings:
Relocation Package Data Science jobs near you

Sr Data Scientist I (Hybrid)

LexisNexis

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

147th of 424 rated business services

Job description

Would you like to apply advanced actuarial science and machine learning to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale?
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
The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders. The team is responsible for new product innovation, model development, and creating actionable insights for our customers. We work closely with the Vertical and Product teams to design and implement new solutions for the insurance and OEM markets. By harnessing the power of data, our analytics team empowers insurers to make informed decisions, optimize risk segmentation, and enhance underwriting strategies, ultimately driving success in an ever-evolving insurance landscape.
About the Role
We are seeking a Senior Data Scientist I to join our Insurance Analytics team, with a strong foundation in actuarial science, statistical modeling, and data science. In this role, you will contribute to the development of innovative insurance products, advanced predictive models, and data-driven insights that inform key business decisions.
You will partner closely with Product and Vertical teams to design and deliver analytical solutions that address complex insurance challenges and support evolving market needs. This role is ideal for someone who combines deep actuarial expertise with strong modeling intuition, is comfortable working with complex datasets, and can effectively translate analytical findings into clear, actionable recommendations that drive business and product outcomes.
Responsibilities:
  • Developing and enhancing statistical and machine learning models using structured and unstructured data to generate predictive insights and attributes.
  • Design and building data pipelines and analytical solutions that support risk segmentation and insurance use cases.
  • Providing actuarial expertise and recommendations to inform model development, risk segmentation, and support rate filings.
  • Researching and applying innovative data science methodologies to solve complex business problems.
  • Managing and analyzing large, complex datasets, including data storage, processing, and quality assurance.
  • Applying best practices for data validation, testing, and model performance monitoring.
  • Collaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical culture.
  • Identifying and leveraging new data sources to improve and validate existing models.
  • Partnering with internal stakeholders to understand business needs, troubleshoot challenges, and deliver actionable insights.
  • Maintaining a strong understanding of team tools, technologies, and evolving industry trends.
  • Applying business and domain knowledge to drive effective, practical solutions.
  • Communicating progress, insights, and outcomes clearly to stakeholders.
  • Supporting team excellence by upholding high standards of quality, accountability, and execution.

Requirements:
  • Minimum undergraduate degree in relevant field and 4+ years of relevant work experience
  • Or a master's degree in a relevant field and 2+ years of relevant work experience.
  • Or a PhD in a relevant field.
  • Strong expertise in Python. Coding skills in R, SQL, ECL are a plus.
  • Good foundation in actuarial science, including experience applying actuarial principles to pricing, risk segmentation, or model development.
  • Strong foundation in statistical and mathematical modeling, including model assumptions, diagnostics, and interpretability. This includes linear and non linear models along with ML techniques.
  • Extensive 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 nice to have.

Technical/Professional Experience
  • Able to build or test new processes with senior guidance. Domain expert in Data Science, Actuarial Science and/or Statistical Analysis to build advanced models and roll into production.
  • Scopes and execute analytical approaches for moderately complex problems, seeking input where needed.
  • Supports, maintains, and enhances existing models (e.g., GLM and tree-based methods).
  • Applies statistical, mathematical, predictive modeling and analytical techniques to work with large, complex datasets from diverse sources.

Data Skills
  • Independently prepares, cleans, and transforms data for analysis and modeling.
  • Applies a range of data processing techniques and explores new methods to improve data quality and usability.

Project Management Skills
  • Owns and delivers components of projects independently, including planning and execution of key tasks.
  • Contributes to larger, more complex projects by executing defined workstreams and meeting timelines.

Domain/Industry Skills
  • Applies core data science and statistical methods within an insurance context.
  • Strong foundation in actuarial science, including experience applying actuarial principles to pricing, risk segmentation, or model development.
  • Understands and applies machine learning techniques, including hypothesis testing, sampling methods, model development (linear and non-linear), validation, and data pipelines.

Behavioral Competencies
  • Takes initiative and ownership of work, proactively addressing challenges and identifying opportunities for improvement.
  • Collaborate effectively with teammates, supporting a positive and accountable team environment.
  • Balances innovation with practical business needs and team priorities
  • Demonstrates accountability, follows through on commitments, and maintains high standards of work.
  • Shows willingness to stretch beyond core responsibilities and support team success.

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:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
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.
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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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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