Junior Data Scientist

JR United Kingdom; City Of London; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

Une entreprise dynamique recherche un Junior Data Scientist pour participer à la création de modèles de machine learning. Les candidats doivent être diplômés d'un Master d'une université Russell Group et posséder des compétences en Python et SQL. Le poste offre un salaire compétitif et des opportunités de carrière dans un environnement hybride de travail.

Benefits

Pension scheme

Private healthcare

Wellbeing initiatives

Structured professional development

Mentorship

Training opportunities

Flexible working conditions

Modern Tech Stack

Collaborative Culture

Qualifications

• Récemment diplômé d'un Master en Data Science ou domaine connexe.
• Compétences en programmation et compréhension des concepts de machine learning.
• Passion pour la résolution de problèmes complexes avec des données.

Responsibilities

• Conception et développement de modèles de machine learning.
• Réalisation de workflows de data science de A à Z.
• Présentation des résultats aux parties prenantes techniques et non techniques.

Skills

Python

SQL

Machine Learning

Data Wrangling

Statistical Techniques

Communication

Collaboration

Education

Master’s degree from a Russell Group university

Tools

NumPy

pandas

scikit-learn

matplotlib

TensorFlow

PyTorch

AWS

GCP

Azure

Docker

Git

Job description

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Junior Data Scientist, london (city of london)

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Client:

Intellect Group

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Junior Data Scientist – Master’s Graduate Role

Location: London (Hybrid)

Start Date: ASAP

About the Opportunity:

We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI.

This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets.

You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries.

What You’ll Be Doing:

• Designing and building machine learning models to solve real-world problems
• Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment
• Applying statistical and AI techniques to generate actionable insights
• Contributing to experimental research, model prototyping, and A/B testing
• Presenting findings clearly to both technical and non-technical stakeholders
• Collaborating across data science, engineering, and product teams to build scalable solutions
• Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions

What We’re Looking For:

• A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline
• Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome
• A solid understanding of core machine learning concepts, data wrangling, and model evaluation
• Proficiency with SQL and experience handling large datasets
• A passion for solving complex problems using data and a continuous learning mindset
• Excellent communication and collaboration skills
• Full right to work in the UK (we are unable to offer visa sponsorship for this role)
• Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Experience with experimental design, research methods, or academic publishing
• Understanding of MLOps, version control (Git), or containerisation (e.g. Docker)

? Competitive Salary & Bonus: £35,000 – £45,000 plus performance-based incentives

? Hybrid Working: A flexible mix of office and remote work

? Career Growth: Structured professional development, mentorship, and training opportunities

? Modern Tech Stack: Work with the latest tools in data science, AI, and analytics

? Collaborative Culture: Be part of a supportive and innovative team

Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives

How to Apply:

Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.