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Internship Dataiku Jobs (NOW HIRING)

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

WM Vendor Risk Associate

New York, NY · On-site

$58K - $115K/yr

... internship, or work experience) • Familiarity with project/content management tools (e.g., Jira, ServiceNow, ProcessUnity) • Familiarity with visualization/reporting tools (e.g., Tableau, Dataiku ...

WM Vendor Risk Associate

New York, NY · On-site

$58K - $115K/yr

... internship, or work experience) Familiarity with project/content management tools (e.g., Jira, ServiceNow, ProcessUnity) Familiarity with visualization/reporting tools (e.g., Tableau, Dataiku ...

Internship Dataiku information

See salary details

$6

$16

$23

How much do internship dataiku jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for internship dataiku in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects do Dataiku interns typically work on, and how do these projects support their professional development?

As a Dataiku intern, you can expect to work on hands-on data science and machine learning projects, often collaborating with cross-functional teams to solve real business problems. Projects may involve tasks such as data cleaning, building predictive models, or developing dashboards using Dataiku’s platform. This practical experience not only strengthens technical skills but also provides exposure to best practices in data analytics and teamwork. Interns are encouraged to participate in knowledge-sharing sessions and contribute to ongoing initiatives, which can be valuable for future career opportunities within the company or the broader data science field.

What are the key skills and qualifications needed to thrive as a Dataiku Intern, and why are they important?

To thrive as a Dataiku Intern, you need a strong background in data analysis, programming (typically Python or R), and a foundational understanding of machine learning concepts, often supported by coursework in computer science or related fields. Familiarity with the Dataiku platform, SQL databases, and data visualization tools like Tableau or Power BI is advantageous. Strong problem-solving abilities, communication skills, and a proactive attitude help interns collaborate effectively and contribute to projects. These skills are crucial for delivering valuable insights, learning quickly, and making a measurable impact within a data-driven environment.

What is the difference between Internship Dataiku vs Data Analyst Intern?

AspectInternship DataikuData Analyst Intern
Required SkillsDataiku platform, basic data analysis, SQLData analysis, Excel, SQL, visualization tools
Work EnvironmentData science teams, collaborative projectsBusiness units, reporting and insights
CertificationsNone required, familiarity with Dataiku preferredNone required, analytical certifications beneficial
Industry UsageData science, analytics, AI projectsBusiness intelligence, reporting, analytics

Internship Dataiku focuses on hands-on experience with the Dataiku platform and data science projects, while a Data Analyst Intern emphasizes data analysis skills and reporting. Both roles involve SQL and basic analytics but differ in tools and project scope, catering to different career paths within data and analytics fields.

What is an Internship at Dataiku?

An Internship at Dataiku is a temporary position designed for students or recent graduates to gain practical experience in fields such as data science, software engineering, or business operations. Interns work closely with experienced professionals, contribute to real projects, and learn about Dataiku's collaborative data science platform. The internship offers a chance to develop technical and soft skills, and often includes mentorship opportunities and exposure to the company's culture. Internships at Dataiku can be a valuable stepping stone for entering the tech and data industry.
More about Internship Dataiku jobs
What cities are hiring for Internship Dataiku jobs? Cities with the most Internship Dataiku job openings:
What are the most commonly searched types of Dataiku jobs? The most popular types of Dataiku jobs are:
What states have the most Internship Dataiku jobs? States with the most job openings for Internship Dataiku jobs include:
Infographic showing various Internship Dataiku job openings in the United States as of June 2026, with employment types broken down into 15% Internship, 6% As Needed, 1% Full Time, 76% Part Time, and 2% Temporary. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Data Scientist QxBranch

QxBranch

Washington, DC • On-site

Full-time

Posted 10 days ago


Job description

Company Description
QxBranch delivers predictive analytics solutions leveraging the emerging potential of Quantum Computing. To make high-stakes, complex business decisions, you must have confidence in the underlying insights and predictions. But how sure can you be when those predictions are based on a proverbial "black box"? That's why QxBranch Predictive Analytics solutions feature transparent data science, providing confidence in each prediction. To build Predictive Analytics solutions that endure, you must respond to changes in business concepts, market needs, and the underpinning technologies that deliver insights. QxBranch uses modern, adaptable data analytics tooling that can address your needs today, and is a leader in Quantum Computing software and applications that will enhance your solutions tomorrow.
QxBranch is headquartered in Washington, DC, with offices in London, UK and Adelaide, Australia. Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations.
Job Description
QxBranch is seeking a talented data scientist with a background in machine learning and taking data science solutions through to production. The successful applicant will be invited to join our welcoming, diverse team in Washington DC and work on innovative solutions to diverse problems. The role will require you to interact with clients and collaborate with QxBranch's passionate team of data scientists and systems engineers, shaping data analytics solutions to meet client needs.
Responsibilities:
  • Prototype, develop, and deploy complex analytics models for client systems
  • Organize, manage, and curate large and complex datasets
  • Work in an internationally distributed team, with schedule flexibility
  • Deliver high quality technical outcomes while adhering to cost and schedule constraints
  • Continue technical and professional development to ensure QxBranch technology remains on the cutting edge

Qualifications
Education and Experience:
  • Proficiency in Python and common machine learning packages such as scikit-learn, NLTK, and Theano
  • Competence in all portions of the data analytics pipeline, including ingest, cleaning, feature extraction, modeling, statistical validation, and visualization / reporting
  • Competence in software development practices including writing maintainable code, unit testing, version control, cloud-based development and performance profiling and tuning
  • Bachelor of Science or higher in engineering, science, or mathematics, with specializations related to computer science preferred
  • Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and graduate level education

Desired Skills:
  • Expertise in one or more of: natural language processing, probabilistic modeling, time series analysis, anomaly detection, deep learning, behavioral analysis, causal analysis
  • Strong data visualization and data "storytelling" skills
  • Analytics experience in finance, insurance, and/or cyber security
  • Proficiency in other analytics technologies, such as R, SQL, CUDA, Hadoop, and Spark
  • Experience with Dataiku's Data Science Studio

Additional Information
QxBranch is committed to ensuring that all of its US employees are legally eligible to be employed in the United States and refrains from discriminating against individuals on the basis of national origin or citizenship. Within three (3) days of being hired, QxBranch requires each employee submit a Form I-9 and utilizes E-Verify to confirm employment eligibility.