Data Scientist

Job Title: Data Scientist
Location: London (Hybrid)
Job Type: Contract

Key Responsibilities:

• Apply end-to-end data science lifecycle principles—including design, exploratory data analysis, model development, evaluation, deployment, monitoring, and maintenance—to new projects.
  
• Contribute to the development, performance monitoring, and ongoing lifecycle management (retraining, optimization, and enhancement) of production data science models.
  
• Design comprehensive data-driven solutions for complex business challenges using large and small datasets, including internal and third-party sources, and leveraging advanced machine learning or statistical techniques.
  
• Collaborate closely with data scientists, data engineers, and cross-functional teams—including pricing and analytics—to support the advancement of analytics capabilities across the organization.
  
• Write high-quality Python code following industry best practices for model development and deployment.
  
• Continually expand domain expertise by researching emerging technologies and techniques and sharing knowledge within the team.
  
  Essential Qualifications:
  
• Hands-on experience in data science or advanced analytics, or a strong passion and aptitude to grow in the field.
  
• Ability to perform thorough research independently or within small teams, while meeting time-sensitive objectives.
  
• Proficiency with version control systems and familiarity with IT delivery tools.
  
• Strong understanding of how to apply machine learning techniques to solve practical business problems.
  
• Experience in building predictive and prescriptive models and articulating insights clearly to target audiences.
  
• Excellent written and verbal communication skills, including the ability to present findings effectively.
  
• Eagerness to adopt best practices in software development.
  
• Strong Python programming skills.
  
• Experience with test-driven development using frameworks such as Pytest or equivalent.
  
  Desirable Skills:
  
• Degree or postgraduate qualification (or equivalent experience) in a relevant field such as engineering, mathematics, physics, or statistics.
  
• Domain experience in finance, insurance, or e-commerce is a plus but not required.
  
• Experience deploying models in cloud environments.
  
• Familiarity with machine learning frameworks and libraries such as TensorFlow, CatBoost, XGBoost, Scikit-learn, and Pandas.
  
• Experience developing and integrating APIs.
  
• Proficiency in SQL.
  
• Background in software engineering and exposure to DevOps/MLOps practices.
  
• Working knowledge of CI/CD pipelines.
  
  Regards
  Anita