National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science Intern

Hirist
Cardiff
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Intern

Data Scientist (Semantic Search/Recommender Systems)

Chief Data Scientist

Senior Policy Data Scientist

Lead Data Scientist

Data Science Manager

Job Title:

Data Science Intern (Remote, Summer Internship – 3 Months)


Company:

HIRIST – IT Recruitment Partner (Hiring on behalf of a reputed IT client)


Location:

Remote


Job Type:

Internship (Part-time, Temporary, Remote)


Duration:

3 Months | Flexible Start Date | 15–20 hours/week commitment


About the Opportunity:

HIRIST is hiring Data Science Interns for a remote summer internship program with one of our IT clients. This is a hands-on, project-based opportunity designed for students or early-career professionals looking to gain real-world experience in a collaborative data science environment.


Key Responsibilities:

  • Support senior data scientists on active projects.
  • Clean, organize, and analyze datasets for business insights.
  • Contribute to feature engineering and model building.
  • Learn how A/B tests and data experiments are structured and interpreted.
  • Assist in creating dashboards and visualizations for decision-making.


Required Qualifications:

  • Basic knowledge of Python and/or SQL.
  • Interest in data analytics, statistics, or machine learning.
  • Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries.
  • Strong communication and time management skills.


Preferred (Not Mandatory):

  • Previous coursework, projects, or online certifications in data science.
  • Understanding of data cleaning, modeling, or visualization.
  • Knowledge of GitHub or project-based portfolio.


Who Can Apply:

  • Students or recent graduates from STEM or analytical backgrounds.
  • Self-taught learners or individuals with academic/personal projects in data.
  • Beginners and intermediate candidates seeking practical, supervised experience.


Compensation & Benefits:

  • Internship certificate upon successful completion.
  • 1:1 mentorship by experienced data scientists.
  • Real project experience with industry relevance.
  • Letter of recommendation based on performance.
  • Potential stipend based on skill level and contribution.


Hiring Process:

  • Resume screening.
  • Basic aptitude/data task (accessible for beginners).
  • Interview with mentor or hiring manager.
  • Final selection and onboarding through HIRIST.


Application Requirements:

  • Must be available for 4–12 weeks.
  • Able to commit 15–20 hours/week.
  • Ready to contribute to real team projects (not just training exercises).
  • Optional: Include portfolio or sample projects with your application.


How to Apply:

Submit your resume (and portfolio link, if available). Only shortlisted candidates will be contacted.


Note:This is a remote internship role. The client company name remains confidential and will be disclosed during the interview stage.


HIRIST is an equal opportunity recruitment partner. All qualified applicants will be considered without regard to race, religion, gender, disability, or any protected status.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.