Data Scientist (French speaker)

Data Scientist

Entry Level / UK · Full-Time

Role Overview

We are looking for a curious and analytically minded Data Scientist to join our team as we scale AI-powered solutions. You will work alongside senior engineers and AI leaders to build and maintain the data foundations & pipelines that underpin intelligent systems, from entity resolution and confidence scoring to structured data pipelines and insight generation.

This role is well suited to a recent graduate or someone in the early stages of their career who has strong fundamentals and a genuine appetite to grow in a modern AI engineering environment.

Key Responsibilities

· Design and maintain data pipelines that ingest, clean, and normalise data from structured and unstructured sources

· Build logic and confidence scoring frameworks to produce trusted, conflict-free data records

· Clean and validate data to ensure uniformity, accuracy, and consistency across sources

· Produce exploratory data analysis and visualisations to surface trends, anomalies, and opportunities

· Collaborate with AI Engineers & ML Devops to ensure clean, well-attributed data reaches downstream models

Skill Set

Core Analytical Skills

· Data wrangling, cleaning, and normalisation for structured & unstructured data

· Data validation to ensure uniformity and accuracy

· Entity resolution and deduplication

· Exploratory data analysis (EDA)

· Data quality assessment and monitoring

· Clear technical documentation

· Proficiency in Python

· Proficiency in French language.

Data Visualisation

· Designing clear, insight-driven charts and graphs

· Presenting data in pictorial and summary formats

· Translating complex analysis into accessible visuals

· Building dashboards and reporting outputs

Professional Skills

· Clear communication of technical findings to non-technical audiences

· Collaborative working with engineers, analysts, and stakeholders

· Structured, methodical approach to problem solving

· Willingness to ask questions and learn from feedback

Nice to Have

· Exposure to NLP or text classification

· Familiarity with graph databases

· Experience with cloud data platforms especially Azure

· Understanding of AI data governance principles

Technologies

Python · R · SQL · Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn · Plotly · Jupyter · dbt · Spark · Power BI · Git · REST APIs

What We Are Looking For

· Degree in a quantitative field (Data Science, Mathematics, Statistics, Computer Science) or equivalent practical experience

· Solid Python and/or R fundamentals with SQL proficiency

· Comfort working with ambiguous or messy data

· A structured, methodical approach to problem solving

· Willingness to learn and operate in a fast-moving AI environment

· No expectation of prior industry experience in AI, strong fundamentals and the right attitude matter most