Data Scientist

Edenbrook Ltd.; Greater London; In loco; GBP 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Edenbrook Ltd. in London is seeking a Data Scientist to join a seasoned Data Science and Analytics team.

You will develop and deliver data science solutions across the full ML lifecycle, from data prep and model development to deployment and monitoring. You will work closely with technical teams and commercial stakeholders, applying Python and statistical techniques to solve business problems, automate processes, and generate actionable insights.

Competenze

• Strong Python and ML fundamentals with interest in production ML.
• Experience with data prep, model development and evaluation.
• Ability to translate business needs into analytical solutions.
• Ability to communicate insights to stakeholders clearly.

Mansioni

• Deliver data science projects covering data preparation, exploratory analysis, model development and validation.
• Contribute to the deployment and ongoing monitoring of machine learning models.
• Take increasing ownership of the full model lifecycle.
• Apply data science techniques to automate manual processes and improve business efficiency.
• Explore potential generative AI applications and use cases.
• Assess the quality and suitability of internal and external data sources.
• Produce analytical insights and reporting to support business decisions.
• Write clean, tested and maintainable Python code, following engineering standards and participating in code reviews.
• Contribute to cloud-based ML pipelines and develop knowledge of MLOps and CI/CD.

Conoscenze

Python

Machine Learning

Statistical Methods

Data Analysis

Cloud Technologies

MLOps

Formazione

Bachelor's degree in a quantitative field

Strumenti

CI/CD tooling

Cloud platforms

Descrizione del lavoro

An opportunity for a Data Scientist to join an established Data Science and Analytics team within a specialist financial services business. The role will focus on developing and delivering data science solutions across the full machine learning lifecycle, from data preparation and model development through to deployment and monitoring. Working closely with technical teams and commercial stakeholders, the successful candidate will use data science to solve business problems, automate processes and generate actionable insights. The ideal candidate will have strong Python, machine learning and statistical foundations, alongside a genuine interest in developing their experience in production ML, cloud technologies and MLOps. Previous production experience is not essential, as training and development will be provided.

Key Responsibilities

• Deliver data science projects covering data preparation, exploratory analysis, model development and validation.
• Contribute to the deployment and ongoing monitoring of machine learning models.
• Take increasing ownership of the full model lifecycle.
• Apply data science techniques to automate manual processes and improve business efficiency.
• Explore potential generative AI applications and use cases.
• Assess the quality and suitability of internal and external data sources.
• Produce analytical insights and reporting to support business decisions.
• Write clean, tested and maintainable Python code, following engineering standards and participating in code reviews.
• Contribute to cloud-based ML pipelines and develop knowledge of MLOps and CI/CD.