Data Science Intern

Hirist
Edinburgh
1 week ago
Applications closed

Related Jobs

View all jobs

Guest Lecturers in Data Science Finance Risk Management

Data Analyst Intern

Head of Internal Audit

Data Analyst Intern

Sr. Business Intelligence Engineer, Alexa International

Internal Account Manager

Summer Internship – Data Science (Beginner to Intermediate Levels Welcome)

Duration:3 Months | Remote | Flexible Start

Hiring Partner:HIRIST – IT Recruitment Partner

Client:Reputed IT Company (Name confidential)


Are you passionate about data and eager to apply your skills in real-world projects? Whether you're just starting out or already have some hands-on experience — this is a chance to be part of alive data science teamsolving actual business problems.


HiRIST is hiringData Science Internson behalf of one of our IT clients for asummer internship programfocused on building real solutions, not simulations or training demos.


What You’ll Work On:

• Collaborate with senior data scientists onlive projects

• Assist incleaning, organizing, and analyzing datasets

• Contribute tofeature engineeringfor machine learning models

• Learn howA/B testsand data experiments are designed and analyzed

• Help builddashboards or visualizationsthat support business decisions


🔍Who Should Apply:

This internship is ideal for:

• Students or recent grads fromany STEM or analytical background

• Candidates who areself-taught in Python, SQL, or basic data analysis

• Beginners who havedone personal projects, academic work, oronline coursework

• Intermediate learners looking to gainreal project experience

Youdon’t need to be an expert— you just need to be willing to contribute, learn fast, and work hard on real tasks under mentorship.


🧠Must-Have Skills:

• Basic knowledge ofPythonand/orSQL

• Curiosity and willingness to work with data

• Familiarity with any one:Excel, Pandas, Numpy, or visualization tools

• Good communication and time management skills


🌟Nice-to-Have (But Not Required):

• Experience withdata cleaning, modeling, or dashboards

• Understanding ofstatistics or A/B testing

• GitHub or portfolio of data projects (even academic ones)


🎁Perks & Benefits:

1:1 mentorshipfrom a senior data scientist on the same project

• Exposure toreal industry-level projects

Internship Certificateat the end of the program

Letter of Recommendationbased on performance

Stipend opportunityfor selected interns (based on skill level and contributions)


🔎Selection Process:

1. Resume Screening (emphasis on interest and motivation)

2. Basic Aptitude/Data Task (suitable for beginners too)

3. Friendly Interview with Mentor/Manager

4. Final Selection & Onboarding via HiRIST


📝Apply If You:

• Are available for 4-12 weeks

• Can commit at least15–20 hours/week

• Are excited to work in areal tech team, not a training bootcamp

• Want to addreal business project experienceto your resume


📩Ready to Get Started?

Apply with yourresume + any portfolio link or project sample (optional).


HiRIST– Connecting the right talent with the right opportunity.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.