Company Background

Fenestra provides leading advertisers and agencies an independent, configurable platform and data ecosystem to quickly and easily optimise performance in their biddable media activation to improve business outcomes.

Led by a proven group of digital advertising executives, Fenestra has gone through a rapid period of product development, notably releasing a campaign optimisation automation product called Actus and Advanced automatic reporting, ChatFST, and is now developing fast in 2025 and beyond. We're seeking a talented Junior Data Scientist to join our innovative team, working across two key areas: LLM-driven AI solutions and advertising performance optimization. You'll contribute to cutting-edge AI projects while helping optimize advertising campaigns through data-driven insights.

Key Roles and Responsibilities:

AI/LLM Projects:

Assist in developing applications using latest LLMs (ChatGPT, Claude, Gemini)
Support campaign optimisation using statistical and machine learning models
Analyse advertising performance metrics and trends
Contribute to predictive modelling for ad performance
Help develop automated optimisation algorithms

Key Responsibilities:

Analyse large datasets (>100mn's rows) to extract actionable insights
Develop and maintain ML models for campaign optimisation
Assist in creating and maintaining data pipelines
Build and improve dashboard visualisations
Support A/B testing and performance analysis
Collaborate with cross-functional teams
Document technical processes and findings

Required Qualifications:

Bachelor's degree in Computer Science, Data Science, Mathematics, or related field
0-2 years of experience in data science or related field
Strong Python programming skills (Pandas, NumPy, Scikit-learn)
Understanding of statistical analysis and machine learning concepts
Experience with data visualisation tools (Looker, Tableau, or similar)
Basic SQL knowledge
Strong analytical and problem-solving skills

Nice to Have:

Experience with LLM frameworks and prompt engineering
Knowledge of programmatic advertising
Familiarity with cloud platforms (GCP, AWS, or Azure)
Understanding of digital advertising metrics and KPIs: Technical understanding of the programmatic advertising ecosystem from Ad Servers, DSPs, SSPs, Ad Verification vendors and agencies is a big plus, but not essential
Version control experience (Git)
Familiarity with tree-based methods and gradient boosting techniques.

Technical Skills:

Programming: Python, SQL
ML Libraries: Scikit-learn or equivalent, PyTorch
Data Analysis: Pandas, NumPy
Visualization: Matplotlib or equivalent, Seaborn or equivalent
BI Tools: Looker
LLM Tools: LangChain or equivalent

What We Offer:

Competitive salary package
Mentorship from data scientist CTO
Exposure to cutting-edge technologies
Modern tech stack and tools
Hybrid location

Personal Qualities:

Strong curiosity and eagerness to learn
Good communication skills
Ability to work in a fast-paced environment
Detail-oriented and organised
Team player with collaborative mindset
Self-motivated and proactive

We are looking for someone who is passionate about both AI technologies and data-driven advertising optimisation, with the ability to balance multiple projects and learn quickly. We are an equal opportunity employer and welcome applications from all qualified candidates. We are recruiting directly only so no recruitment agencies please at this time. Any applicant must already hold all necessary UK Government permissions and visas to work permanently in the UK without restriction at any time.

FENESTRA

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Junior Data Scientist - AI & Advertising Analytics