CitySwift is looking for a Senior Data Scientist to join our rapidly growing team.

As the world's leading performance optimisation platform for public transport, CitySwift powers data-driven decision making for some of the largest transport networks across the globe. Backed by over €15 million in venture capital funding and a partner list that includes the world's largest public transportation operators and government authorities, such as National Express, Go-Ahead Group, Transport for London and many more, CitySwift is in accelerated growth mode with 100% YOY revenue growth and 150% growth in new customers in 2023.

CitySwift’s mission is to increase the adoption of sustainable public transportation usage around the world - our platform currently optimises over 1 billion passenger journeys annually, and our target is to reach over 10 billion by 2026.

At CitySwift, you’ll get the opportunity to take ownership, deliver measurable impact and develop professionally - reshape the future of public transport by accelerating CitySwift’s growth!

About the role

At CitySwift, we are building a world-class data science team to digitally transform public transport in major cities around the world.

We want a Data Scientist to join a rapidly growing team, solving interesting and complex technological problems with real-world solutions.

Today, we analyse billions of data points for a selection of the world’s largest transport companies, shipping a product that constantly delivers for clients and exceeds expectations.

Our Development Ecosystem

• Google Cloud Platform
• BigQuery
• Firestore
• LookerML
• Dataflow
• Cloud Composer
• Cloud Functions
• Java and Kotlin
• Python
• Spring Boot
• Apache Beam
• Airflow
• ReactJS
• PostgreSQL

Experience with these technologies would be beneficial but you don’t need to have worked with all of them to apply. As long as you have an understanding of core fundamentals then this could be the position for you.

What you’ll achieve

• Build statistical and machine learning models to understand and predict various aspects of public transportation, including demand, run times and usage patterns to name a few.
• Building and improving data transformation pipelines for ingestion and feature engineering.
• Conduct rigorous testing and evaluation of existing models, suggesting improvements and optimisations as well as exploring alternative approaches.
• Conducting R&D and exploratory analysis into new avenues of interest, with an aim to better understand the problem to be solved and gain deeper understanding of the nuances of data driven public transport optimisation.

What you’ll need

• 3+ years experience as a Data Scientist
• Proven experience of data science and machine learning applications in a variety of areas and solving different problems using a variety of techniques.
• Solid grounding in statistics and with proven ability to relate statistical analysis and metrics to real world problems during product development.
• Strong Python 3.x knowledge with continuous use of pandas, sci-kit learn, TensorFlow and stats models or any other model building packages.
• Strong SQL and data manipulation skills.
• Experience using cloud based platforms for data manipulation but also cloud based model training and hosted real time and batch predictions.

We value, recognise and reward our people

• Health and Life Insurance and matched pension schemes
• 25 days annual leave, with additional company days off throughout the year
• Flexible working hours and hybrid/remote working opportunities including Work Abroad Program
• Paid Sick, Maternity and Paternity benefits
• Employee Assistance Programme (EAP), mental health and wellbeing supports
• Employee referral program with opportunity to earn up to €4,000 per referral
• Annual Service recognition benefits (Additional Annual leave and pension contributions)