Data Science Intern

Hirist
Leeds, England
12 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Newton Maxwell Recruitment Ltd. London, United Kingdom
£80,000 – £150,000 pa On-site

Data Scientist – Marketing Effectiveness– MMM – AI

Opus Recruitment Solutions London, United Kingdom

Data Platform Solutions Architect (Professional Services)

Databricks London, United Kingdom
£40,000 – £80,000 pa Hybrid
Posted
3 May 2025 (12 months ago)

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.

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.