• Companies
  • News
By technology
  • Python6k
  • AWS4.6k
  • Docker3.6k
  • Kubernetes3k
  • PostgreSQL2.6k
  • C++1.7k
  • Java1.7k
By category
  • Backend Developer9.4k
  • DevOps Engineer2.4k
  • Data Engineer2.2k
  • Machine Learning Engineer2.1k
  • Embedded Engineer1.8k
  • Full Stack Developer1.5k
  • Mobile Developer620
Work mode
  • On-site15.2k
  • Remote6k
  • Hybrid2k
Job type
  • Full-time22.4k
  • Part-time392
  • Contract339
  • Freelance122
  • internship5
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
510 matches
Most relevantNewestHighest base
SageSure

Data Science Intern

21 days ago
SageSure · Jersey City, NJ
On-sitePart-timePython · SQL
Quince

Senior Data Analyst, Storefront

21 days ago
Quince · Palo Alto, CA
On-siteFull-timeSQL · Python
Natera

Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection)

21 days ago
Natera · San Carlos, CA
On-siteFull-timePython · R
Natera

Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection)

21 days ago
Natera · US Remote
RemoteFull-timePython · R
Coinbase

Staff Machine Learning Engineer

21 days ago
Coinbase · Remote - USA
RemoteFull-timePython · TensorFlow
Care Access

Senior Data Scientist

21 days ago
Care Access · USA Remote
RemoteFull-timePython · TensorFlow
Accenture Federal Services

Data Scientist

21 days ago
Accenture Federal Services · Los Angeles, CA
On-siteFull-timePython · SQL
Upstart

Principal Data Scientist, Marketing Measurement

22 days ago
Upstart · United States | Remote
RemoteFull-timePython · SQL
Faire

Applied AI/ML Scientist, Intern - Winter 2027

22 days ago
Faire · San Francisco, CA
On-sitePart-timePython · TensorFlow
Capital Technology Group

Lead AI/ML Engineer

22 days ago
Capital Technology Group · Remote
RemoteFull-timePython · TensorFlow
SpaceX

Sr. Software Engineer (AI Data Engineering)

22 days ago
SpaceX · Hawthorne, CA
On-siteFull-timePython · TensorFlow
SpaceX

Software Engineer (AI Data Engineering)

22 days ago
SpaceX · Hawthorne, CA
On-siteFull-timePython · TensorFlow
Roblox

Senior Data Scientist, Monetary Policy

22 days ago
Roblox · San Mateo, CA
On-siteFull-timePython · SQL
Wing

Data Scientist Intern, Summer 2027

22 days ago
Wing · Palo Alto, CA
On-sitePart-timePython · SQL
Perpay - Career's Page

Super Day - Data Engineering Internship

22 days ago
Perpay - Career's Page · Philadelphia, PA
On-sitePart-timePython · SQL
Twilio

Staff Machine Learning Engineer (L4)

23 days ago
Twilio · Remote - India
RemoteFull-timePython · TensorFlow
Twilio

Principal, Machine Learning Engineer (L5)

23 days ago
Twilio · Remote - India
RemoteFull-timePython · TensorFlow
Snorkel AI

Forward Deployed Researcher - Data as a Service

23 days ago
Snorkel AI · New York, NY
HybridFull-timePython · TensorFlow
Roblox

[2027] Senior Machine Learning Engineer - PhD Early Career

23 days ago
Roblox · San Mateo, CA
On-siteFull-timePython · TensorFlow
Roblox

[2027] Data Scientist - PhD Intern

23 days ago
Roblox · San Mateo, CA
On-sitePart-timePython · SQL
  • Previous
  • 1
  • More pages
  • 11
  • 12
  • 13
  • More pages
  • 26
  • Next
  • SageSure

    Data Science Intern

    SageSure · 🇺🇸 Jersey City, NJ · posted 21 days ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    On-site
    Visa
    Authorization to work in US required
    Stack
    Python, SQL, Pandas, Scikit-learn

    The posting, condensed

    10-week Data Science internship with Data Science team on ad-hoc projects and model development. Tasks include data collection, analysis, visualization, and model evaluation. Stack: Python, R, SQL.

    About SageSure →

    The full posting

    Overview:

    If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking an Intern to join the Rising Pioneer Program as part of our Data Science team.

    Over the course of this 10-week program, interns will gain tangible, hands-on experience and insight into our business operations. After 3 days of orientation and training, you’ll join our Data Science team, where you’ll be assigned projects with unlimited opportunity for challenges and achievement. We have, very often, considered our interns for post-graduation roles within the company.

    What you’d be doing:

    • Learn and network with employees, leaders, and other interns during an on-the-job experience.
    • Potential to earn college credit.
    • Provide research and analysis support on ad-hoc projects.
    • Fulfill tasks and project assignments set out by team leaders.
    • Receive coaching, mentoring, and feedback from knowledgeable SageSure professionals.
    • Support the development, testing, and evaluation of data science models and analytical solutions.
    • Assist with collecting, cleaning, transforming, and analyzing structured and unstructured data.
    • Explore datasets to identify trends, patterns, relationships, and opportunities that can inform business decisions.
    • Apply statistical and analytical techniques to support business questions and data-driven problem solving.
    • Partner with Data Scientists, Data Engineers, and business stakeholders to understand project objectives and translate business needs into analytical approaches.
    • Assist with model validation, performance evaluation, and documentation of analytical methods and results.
    • Develop visualizations, summaries, and presentations that clearly communicate findings to both technical and non-technical audiences.
    • Support experimentation and testing to evaluate model performance, business impact, or potential improvements.
    • Participate in team meetings, project discussions, and technical reviews.
    • Learn and apply data science best practices related to reproducibility, documentation, testing, and responsible use of data.

    We’re looking for someone who has:

    • Is currently enrolled in a relevant degree program with a focus on Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, with an anticipated graduation date in 2028.
    • Has foundational experience working with data through coursework, academic projects, research, or prior work experience.
    • Has experience with Python, R, SQL, or another programming or analytical language.
    • Demonstrates strong analytical, quantitative, problem-solving, and critical-thinking skills.
    • Has a basic understanding of statistics, data analysis, or machine learning concepts.
    • Is comfortable working with data and interpreting analytical results.
    • Has strong written and verbal communication skills and can explain technical concepts in a clear and understandable way.
    • Is detail-oriented, curious, and willing to explore different approaches to solving problems.
    • Is comfortable multitasking and eager to learn new tools, technologies, and analytical techniques.
    • Has the ability to work independently as well as collaboratively as a team member.
    • Is authorized to work in the United States.

    Highly preferred candidates also have:

    • Prior internship, research, technical project, or relevant professional experience.
    • GPA of 3.0 or higher.
    • Experience using Python for data analysis, modeling, or machine learning.
    • Familiarity with SQL and relational databases.
    • Exposure to machine learning techniques, statistical modeling, or predictive analytics.
    • Experience with data visualization tools or libraries.
    • Familiarity with cloud platforms, Databricks, or other modern data and analytics technologies.
    • Experience presenting analytical findings or recommendations to non-technical audiences.

    Data and AI at SageSure: 

    At SageSure, data and AI aren’t just functions—they’re engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes.

    We’re building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you’re developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you’ll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance.

    About SageSure:

    Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders. 

     We have more than 1,000 employees in a distributed workforce environment across 12 offices—Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.    

    SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.

    Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.

    California Applicants: View SageSure’s Workforce Members’ Privacy Notice - CA Privacy Policy & Notice of Collection