Remote-First Data Scientist - ML & Insights

Haven; Hemel Hempstead; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Holiday Buy Scheme

Annual bonus

Hotel discounts

Wellbeing support

Corporate partner discounts

Learning & Development

Family friendly policies

Job summary

Haven is seeking a Data Scientist to lead end-to-end ML model development and deployment, turning data into actionable insights across engineering, product, and operations. You will explore datasets, build robust models, and deploy solutions that drive informed decisions.

This role requires translating business questions into analytics, with strong collaboration across teams and a hybrid working model. The ideal candidate has hands-on ML experience, proficiency in Python and SQL, and about two

Qualifications

• Hands-on experience building and deploying ML models
• Proficiency in Python and SQL for data manipulation
• Experience translating business problems into analytical solutions (~2 years)
• Ability to collaborate across cross-functional teams
• Attention to data quality and governance

Responsibilities

• Own end-to-end development and deployment of ML models and analytical solutions
• Make day-to-day technical decisions on feature engineering and model selection
• Resolve technical challenges during model development and deployment
• Deliver high-quality outputs with clear, actionable value to stakeholders

Skills

Python

SQL

Feature engineering

Machine learning

Data manipulation

Model evaluation

Tools

Python libraries

Job description

Haven is seeking a Data Scientist to lead end-to-end ML model development and deployment, turning data into actionable insights across engineering, product, and operations. You will explore datasets, build robust models, and deploy solutions that drive informed decisions.

This role requires translating business questions into analytics, with strong collaboration across teams and a hybrid working model. The ideal candidate has hands-on ML experience, proficiency in Python and SQL, and about two