Data Science Training & Internship
- No equity
- |Remote (Everywhere)
- |No experience required
- |Internship
Remote only
Not Available

About the job
Data Science Internship Program - Int-Elligence Tech Solutions Plc (UK-Based) Remote | 3 Months | Industry Certificate | Weekly Interactive Mentorship
We are pleased to invite applications for our 3-month Data Science Internship program designed to provide hands-on project exposure, guided mentorship, and a structured pathway to build real-world skills.
This learning-focused internship is offered by Int-Elligence Tech Solutions Plc, a UK-based IT solutions provider supporting early-career professionals and graduates with training aligned to real business needs.
What You’ll Gain:
Hands-On Project Experience: Work on numerous real-world projects and build a strong portfolio.
Mentorship: Work under the supervision of UK-based data professionals from FTSE 500 and tech start-up backgrounds.
Certification Support: Upon successful completion, interns will be eligible to receive a Microsoft-Partnered certificate acknowledging their work and learning.
Industry Tools Training: Exposure to tools and technologies commonly used in UK businesses.
Tools & Technologies You’ll Work With:
Python – Essential for data analysis & automation
NumPy & Pandas – Data manipulation & processing
Matplotlib – Data visualization techniques
TensorFlow – Deep learning and AI applications
SciPy & Scikit-learn – Machine learning framework
Seaborn – Advanced statistical visualizations & exploratory data analysis.
Flask – Lightweight backend framework for APIs and web app development.
Streamlit – Rapid deployment of interactive data apps with minimal code.
Who Should Apply:
Graduates and final-year students in STEM, data, or tech-related fields.
Career switchers looking to gain UK-based project experience.
Individuals with basic knowledge of Python.
Application Process:
Apply with your updated CV
Our team will guide you through the next steps upon application
📌Note to Applicants:
This internship program is designed for learning and skill development purposes. Please only apply if you are comfortable with an unpaid internship structure and meet the basic eligibility criteria.
For further information or queries, contact our team at:
📧 [email protected]
About the company
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