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Volunteer Data Science Apprenticeship Jobs (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Data Scientist

Suitland, MD ยท On-site

$143K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Data Scientist

Suitland, MD ยท On-site

$143K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Data Scientist

Suitland, MD ยท On-site +1

$143K - $187K/yr

Lead advanced data science research by developing and applying analytical models, computational ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

$23/hr

This internship supports the Data Science team and provides hands-on experience in data science ... Opportunity to explore a career-path with a reputable voluntary health/service organization.

New

The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative ... Through our company-wide volunteering and giving platform, you can donate, start fundraisers ...

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Showing results 1-20

Volunteer Data Science Apprenticeship information

How to get a job as a data scientist with no experience?

To become a data scientist with no experience, focus on building relevant skills such as programming in Python or R, understanding statistics, and working with data tools like SQL and machine learning libraries. Completing online courses, participating in projects, and obtaining certifications can demonstrate your abilities to employers. Internships, volunteering, or apprenticeships like a Volunteer Data Science Apprenticeship provide practical experience and improve job prospects.

Is 30 too late for data science?

The Volunteer Data Science Apprenticeship and similar roles often accept candidates of various ages, and starting at 30 is not too late to pursue a career in data science. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any age through online courses or bootcamps.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

What is the difference between Volunteer Data Science Apprenticeship vs Data Analyst?

AspectVolunteer Data Science ApprenticeshipData Analyst
Required CredentialsBasic knowledge of data analysis, programming, and statistics; often open to beginnersTypically requires a degree in data-related fields; some certifications preferred
Work EnvironmentVolunteer settings, non-profits, or training programs; often part-time or project-basedCorporate, agency, or consulting environments; full-time or part-time roles
Employer & Industry UsageNon-profit organizations, educational programs, or training initiativesBusinesses, government agencies, and consulting firms across industries

The Volunteer Data Science Apprenticeship provides hands-on experience for beginners in a volunteer setting, focusing on learning and skill development. In contrast, Data Analysts typically hold formal education and work in professional environments analyzing data to inform business decisions. The apprenticeship is ideal for those starting out, while data analyst roles are more advanced and require specific credentials.

What is a Level 7 apprenticeship in data science?

A Level 7 apprenticeship in data science is a postgraduate-level program in the UK that combines work-based training with academic study, typically leading to a master's degree. It provides apprentices with advanced skills in data analysis, machine learning, and programming tools like Python or R, preparing them for senior data science roles. The apprenticeship duration is usually around 24 months, and it includes assessments and industry-relevant projects.
More about Volunteer Data Science Apprenticeship jobs
What cities are hiring for Volunteer Data Science Apprenticeship jobs? Cities with the most Volunteer Data Science Apprenticeship job openings:
What are the most commonly searched types of Data Science Apprenticeship jobs? The most popular types of Data Science Apprenticeship jobs are:
What states have the most Volunteer Data Science Apprenticeship jobs? States with the most job openings for Volunteer Data Science Apprenticeship jobs include:
Infographic showing various Volunteer Data Science Apprenticeship job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 83% Full Time, 11% Part Time, 1% Contract, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Company Description

Hi there! We're Razorfish. We've been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What's different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com.

Job Description

We are seeking a highly skilled and technically proficient Manager, Data Science to grow and support our data science team. This individual will be responsible for executing complex modeling efforts, building reliable data pipelines, and delivering high-impact analytical solutions that support business decisions. This role is ideal for a hands-on practitioner with strong expertise in machine learning, statistics, and data infrastructure who is ready to step into a team manager role.

Responsibilities
  • Team Leadership & Strategy
    • Lead and mentor a small team of data scientists and ML engineers
    • Partner cross-functionally with engineering, product, analytics, and business stakeholders to identify opportunities for data-driven innovation within an agile environment.
    • Uncover deep insights from data and effectively connect them to user behaviors through compelling storytelling.
  • Technical Execution
    • Build, deploy, and validate machine learning models and algorithms for prediction, optimization, segmentation, and recommendation.
    • Design and execute experimentation, statistical modeling, and A/B testing across products and initiatives.
    • Ensure scalable deployment of ML solutions into production in collaboration with engineering teams.
  • Operational Excellence
    • Define and uphold best practices in model development, versioning, monitoring, and reproducibility.
    • Implement frameworks for model governance and performance tracking.
    • Contribute to building a modern data science stack that supports experimentation, feature engineering, and model lifecycle management.
  • Data Infrastructure & Collaboration
    • Contribute to the development of robust data pipelines, feature stores, and model-serving architectures.
    • Advocate for sound data management and partner with data engineering on upstream data quality and infrastructure needs.
  • Thought Leadership
    • Stay abreast of emerging techniques in AI/ML and evaluate applicability to our business challenges.
    • Cultivate a culture of curiosity, experimentation, and scientific rigor.
Qualifications
  • 5-6+ years of hands-on experience in data science or machine learning roles, with some exposure to team collaboration or informal mentorship.
  • Degree in Computer Science, Statistics, Mathematics, or a related technical field (MS/PhD preferred, or undergraduate degree with relevant work experience).
  • Strong proficiency with Python, SQL, and modern ML libraries (e.g., scikit-learn, statsmodels, TensorFlow, PyTorch).
  • Experience deploying ML solutions into production environments (e.g., via cloud platforms like AWS/GCP).
  • Experience in digital product development, particularly with web or app platforms, demonstrating an ability to effectively contribute to the lifecycle of digital products.
  • Strong understanding of experimental design, causal inference, and statistical testing.
  • Exceptional communication skills with the ability to translate technical work into business impact.
Additional Information

The Power of One starts with our people! To do powerful things, we offer powerful resources.

Our best-in-class wellness and benefits offerings include:Paid Family Care for parents and caregivers for 12 weeks or moreMonetary assistance and support for Adoption, Surrogacy and FertilityMonetary assistance and support for pet adoptionEmployee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balanceTuition AssistancePaid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and moreMatching Gifts programsFlexible working arrangements'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.

Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

ย Compensation Range: USD $88,540.00 - USD $141,687.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/1/2028.Employment Type: FULL_TIME