National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

12 Month Internship - Data Scientist

Groupe Crédit Agricole
Greater London
2 weeks ago
Create job alert

Job description

Business type

Types of Jobs - Others

Job title

12 Month Internship - Data Scientist

Contract type

Internship/Trainee

Term (in months)

12

Management position

No

Job summary

Role Overview

As an intern, you will be an integral part of a collaborative team working on data-driven initiatives. Your primary focus will be on the continuation and enhancement of a project that involves collecting and analysing data from diverse sources, including satellite imagery. The collected data will be processed to generate insightful and meaningful indicators for the research team and, more broadly, Crédit Agricole CIB. The main questions of atmosphere composition, climate change, ship and air traffic, drought and other weather characteristics will be addressed. An innovative approach and the proposition of new ideas will be appreciated. 

Key Responsibilities

Data Acquisition: Identify, access, and collect relevant datasets from various sources, including remote sensing and public databases.

Indicator Development: Process and analyse data to generate meaningful environmental and atmospheric indicators related to climate change, air and maritime traffic, drought, and other weather-related phenomena.

Innovation & Collaboration: Contribute ideas and propose novel approaches to improve data processing and analysis workflows.

Automation: Work with the team to automate algorithms for the sustainable production of indicators.

Financial Integration: Assist in testing the developed indicators against financial market data to uncover potential correlations and insights.

Candidate Profile

Masters level in Maths, Computer Science, Engineering or Physics

Strong interest in data science, environmental studies, or a related field.

Familiarity with data processing tools and programming languages (e.g., Python, R).

Analytical mindset with attention to detail and a proactive approach to problem-solving.

Ability to work collaboratively in a team-oriented environment.

Interest in exploring the relationship between environmental data and financial markets.


Supplementary Information

Our commitment to you

Join our team at Crédit Agricole CIB, the corporate and investment banking arm of 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2023). We offer more than just a job.

You will be part of a dynamic and collaborative work environment where CSR is embraced in our day-to-day business operation, innovation is encouraged and diversity is celebrated.

Crédit Agricole CIB, the first French bank to have committed to the Equator Principles, is a pioneer and global leader in sustainable finance. Our commitment to sustainability and corporate responsibility means that your work will have a positive impact on our communities and the environment.

With a people-centric culture where everyone is valued, and opportunities for personal and professional growth, Crédit Agricole CIB is not just a place to work – it is where you make an impact.

Our hiring process is open to all and should you have any particular needs or you may require


Position location

Geographical area

Europe, United Kingdom

City

London

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Master level degree in Mathematics, Computer science, Engineering or Physics


Required skills

Good understanding of main algorithms and data structures

Python, SQL, R, C++ or any other programming language


Languages

English

Related Jobs

View all jobs

Data Analyst Insurance - 12 month FTC

Data Analyst – Business Analytics (12 month FTC)

Business Data Analyst (12 month FTC)

Business Intelligence Engineer - 12 months contract, S&OP - EU SWA

Business Intelligence Data Analyst

Data Scientist

National AI Awards 2025

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

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

Industry Insights

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

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.