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.
