Senior Data Scientist

VistaJet; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading private aviation company in the UK is seeking a Senior Data Scientist to leverage quantitative skills in statistics and machine learning. You'll be responsible for defining metrics for fleet optimization, developing predictive models, and collaborating with cross-functional teams to enhance decision-making. The ideal candidate has over 5 years of experience in machine learning, strong Python and SQL skills, and a master's degree in a quantitative field. This position offers significant opportunity within a high-growth environment.

Qualifications

• 5+ years of professional experience in machine learning.
• Good understanding of machine learning algorithms and model development.
• Experience in customer segmentation and analysis.

Responsibilities

• Define and evaluate key metrics for fleet network optimization.
• Create forecast models for demand and supply.
• Lead and maintain machine learning models for aviation marketplace.

Skills

Machine learning

Statistical analysis

Python programming

SQL

Data visualization

Cloud computing

MLOps

Education

Master’s degree in a quantitative field

Tools

SageMaker

Job description

Senior Data Scientist

As a Senior Data Scientist, you have an unparalleled opportunity to use your quantitative skills in statistics, machine learning, operations research, and programming skills in Python and SQL. You will answer high impact open questions for the business team, prototype ML algorithms, productize the algorithm in collaboration with the team. You will be collaborating with Product Managers, Engineers, other Data Scientists/Engineers and Product Analysts to solve many complex problems while having a lot of fun. The team is growing exponentially offering ample opportunity to own additional responsibilities and disrupt the private jet aviation space. This is a unique opportunity for you, as a data scientist to join a strong, and high growth company early in its lifecycle and help us define and realize our vision.

Responsibilities

• Defining and evaluating key metrics for fleet network optimization.
• Creating forecast models for demand and supply to enable fleet balancing.
• Lead, build, and maintain machine learning models that are core to our success as a marketplace for private aviation.
• Performing customer segmentation and analysis based on various features to understand customer behaviors.
• Performing model evaluation and testing to improve accuracy and robustness.
• Maintain and update machine learning models to stay ahead of the change.
• Summarizing results and building dashboard to present findings to guide stakeholders to make data driven decisions.
• Work with product managers and engineers to turn prototypes into robust, reliable solutions.

Qualifications & Experience

• Master’s degree in a quantitative field like Math, Statistics or Machine Learning.
• 5+ years experience of professional industry experience in machine learning (Experience with models and analysis for network optimization and experimentation a plus).
• Good understanding of machine learning algorithms and statistics and ML model development with prototyping.
• Proficient in Python and SQL.
• Experience with data visualization and cloud computing tools.
• Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
• Experience with MLOps, worked on platforms such as SageMaker etc.