Data Scientist

Harnham; Manchester; Presencial; GBP 55.000 - 90.000; Jornada completa

Descripción de la vacante

Harnham is seeking a Data Scientist to join a growing insurance analytics team in Manchester. You’ll tackle pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes.

You will use Python, SQL, Databricks and PySpark to analyze large datasets, own projects from definition through implementation, present insights to technical and non-technical stakeholders, and mentor junior data scientists.

Formación

• Strong commercial data science experience.
• Advanced Python and SQL skills.
• Experience with Databricks and PySpark.
• Knowledge of ML techniques such as XGBoost and LightGBM.
• Strong statistical modelling capability.
• Experience in insurance or regulated environments is advantageous.

Responsabilidades

• Build, validate and deploy ML and statistical models.
• Analyse large datasets with Python, SQL, Databricks and PySpark.
• Solve pricing and risk-related business challenges.
• Explore new data sources and test innovative ideas.
• Own projects from problem definition through to implementation.
• Present insights to technical and non-technical stakeholders.
• Support and mentor junior Data Scientists.

Conocimientos

Commercial DS

Python

SQL

Statistical modeling

Stakeholder management

Insurance domain

Herramientas

Databricks

PySpark

XGBoost

LightGBM

Descripción del empleo

Data Scientist

Join a growing Data Science team within an insurance business where you'll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.

The Role

You will:

• Build, validate and deploy machine learning and statistical models
• Work with Python, SQL, Databricks and PySpark to analyse large datasets
• Solve pricing and risk-related business challenges
• Explore new data sources and test innovative ideas
• Own projects from problem definition through to implementation
• Present insights to technical and non-technical stakeholders
• Support and mentor junior Data Scientists

Your Skills & Experience

• Strong commercial Data Science experience
• Advanced Python and SQL skills
• Experience with Databricks and/or PySpark
• Knowledge of machine learning techniques such as XGBoost and LightGBM
• Strong statistical modelling capability
• Excellent problem-solving and stakeholder management skills
• Experience in insurance, financial services, or another regulated environment is advantageous

Desired Skills and Experience

Python, Databricks, Pricing, Insurance