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No Experience Data Science Jobs in Raleigh, NC (NOW HIRING)

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

A Lead Data Scientist leads a team of junior members to support their development and work product ... and Experience : * PhD or Master's degree in Computer Science, Mathematics, Statistics, or a ...

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... and Experience : * PhD or Master's degree in Computer Science, Mathematics, Statistics, or a ...

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... and Experience : * PhD or Master's degree in Computer Science, Mathematics, Statistics, or a ...

Senior Data Scientist II

Raleigh, NC · On-site

$104.90K - $174.70K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

Senior Data Scientist II

Raleigh, NC · On-site

$104.90K - $174.70K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

Senior Data Scientist II

Raleigh, NC · Hybrid

$104.90K - $174.70K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

Data analysts/Data Scientists * Machine Learning engineers for full time positions with clients ... Experience in programming language Java and understanding of the software development life cycle

Senior Data Scientist II

Raleigh, NC · Hybrid

$104.90K - $174.70K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

Masters in Mathematics, Computer Science, or another quantitative field. Proficiency with data analysis in Python or R, and SQL. Experience with creating dashboards or other data visualizations ...

... Science, or another quantitative field. • Proficiency with data analysis in Python or R, and SQL. • Experience with creating dashboards or other data visualizations within analytics platforms ...

Data Scientist

Chapel Hill, NC · On-site

$32.50K - $37.50K/yr

... Open Until Filled No Position Type Permanent Staff (EHRA NF) Working Title Data Scientist ... Minimum Education and Experience Requirements Relevant post-Baccalaureate degree required (or ...

Recent computer science/engineering/mathematics/statistics or science graduates looking to make ... no need for skill enhancement. Candidates who lack experience, have had a break in careers, lack ...

Decision Scientist

Raleigh, NC · On-site +1

$40/hr

Qualifications 2+ years of hands‐on experience in a quantitative role or research environment -- such as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

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No Experience Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do no experience data science jobs pay per year?

As of May 28, 2026, the average yearly pay for no experience data science in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to succeed in an entry-level Data Science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What are 'No Experience Data Science' jobs?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What are popular job titles related to No Experience Data Science jobs in Raleigh, NC? For No Experience Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for No Experience Data Science jobs? Cities near Raleigh, NC with the most No Experience Data Science job openings:
Lead Data Scientist

Lead Data Scientist

RELX

Raleigh, NC • On-site

$104.90K - $174.70K/yr

Full-time

Posted 5 days ago


Job description

About Us:

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

About the Role:

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

A Lead Data Scientist leads a team of junior members to support their development and work product. They define the scope of a project and execute that project as a team. They support the development and training of junior members. They develop best practices as team leaders.

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Responsibilities:

  • Leading the development of advanced AI and machine learning models to solve complex business problems

  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs

  • Analyzing large datasets to identify patterns and trends that can inform AI development

  • Communicating findings and insights to stakeholders in a clear and concise manner

  • Staying current with the latest AI and machine learning trends and technologies

  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices

  • Driving best practices across our data science functions

  • Setting strategy and team direction, with a clear vision for Data Science

  • Working with product leaders to apply data science solutions.

  • Evaluating and creating new frameworks and defining methodologies and governance

  • Leading small- to medium-sized teams

  • Setting a high bar for model development

Requirements:

  • Have substantial experience in a senior data scientist role

  • Have experience in leading complex projects and customer relationships

  • Have significant experience in leading technical teams

  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues

  • Be a natural problem solver, able to take a lead in collaborating to resolve issues

  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.

  • Experience with reinforcement learning, prompt engineering, hallucination mitigation

  • Working understanding of the business risks associated with applying LLM in a business

  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

  • Strong coding skills in Python or another programming language

  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders

  • Strong problem-solving skills and the ability to think outside the box

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.

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