Data Science Intern

Oeson™

9 months ago

Applications closed

Related Jobs

View all jobs

Assistant Professor in Applied Statistics or Actuarial Data Science (T&R)

Data Science Machine Learning Internship (Summer 2026)

Ph.D. Research Internship – Data Science & Machine Learning (Summer 2026)

Manager Data Science

Adjunct Faculty in Data Science & Analytics

Data Science Manager - Gen AI

About the Company: Oeson is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. Specializing in digital marketing, data science, data analytics, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide. Learn More:www.oesonlearning.comJob Summary: Oeson is seeking enthusiastic individuals who are looking to learn with us in the field of Data Science while working on live projects internationally. We are not just offering a flexible work environment but also offering to work with people in a global team. Projects You Will Work On: - Finance Fraud Detection: Develop advanced fraud detection algorithms leveraging financial data analysis. - Recommender System: Contribute to personalized recommendation systems, enhancing user experiences across platforms. - Sentiment Analysis: Explore sentiment analysis to extract insights from textual data, shaping user sentiment understanding. - Chatbots: Engage in intelligent chatbot development, revolutionizing customer interactions and support. - Image/Audio Video Classification: Push boundaries with multimedia technology by working on image and audio video classification projects. - Text Analysis: Uncover hidden patterns in textual data through sophisticated text analysis techniques. Roles & Responsibilities: - Collaborate with our esteemed data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization. - Contribute to the development of predictive models and algorithms, employing cutting-edge machine learning techniques to solve real-world challenges. - Work closely with team members to design, implement, and evaluate experiments, fostering a collaborative and innovative environment. - Stay updated with the latest industry trends and best practices in data science, applying newfound knowledge to enhance project outcomes. Qualifications: - Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth. - Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas. - Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities. Note: This position is unpaid. After submitting your application, our team will contact you to proceed with the application details and joining process. Location: Remote, Bradford, England, United Kingdom.

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

Industry Insights

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

Jul 21, 2025

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jul 18, 2025

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jul 14, 2025

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.