Data Engineer
I am looking for a Data Engineer / Data Scientist for a company in the Maidenhead area.
Work is Hybrid – 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making.
KEY Responsibilities
Data Analysis & Modelling:

• Analyse large, complex datasets to identify trends, patterns, and actionable insights.
  
• Develop, implement, and optimize machine learning models to solve business problems.
  
• Conduct A/B testing and experimental analysis to validate hypotheses.
  Data Management & Engineering:
  
• Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
  
• Design and develop ETL pipelines and workflows for data preprocessing.
  
• Develop automated tests to validate the processes and models you create.
  Collaboration & Communication:
  
• Collaborate with stakeholders to define project goals, requirements, and deliverables.
  
• Actively participate in design meetings to help shape the solutions that the team delivers
  
• Present findings and recommendations to technical and non-technical audiences.
  
• Acquire domain knowledge to inform modelling opportunities and model feature creation
  Technical Leadership:
  
• Mentor junior data scientists and provide peer reviews for modelling projects.
  
• Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities.
  QUALIFICATIONS
  Education:
  
• Bachelor’s degree in data science, Statistics, Mathematics, or a related field.
  Experience:
  
• 2 or more years of experience in a data science or analytics role.
  
• Proven experience in building machine learning models, statistical analysis, and predictive analytics.
  
• Experience designing experiments or modelling approaches to solve a specified business problem.
  PREFERRED QUALIFICATIONS
  
• Proficiency in programming languages such as Python or R; knowledge of is R an advantage.
  
• Experience with SQL and working knowledge of relational databases.
  
• Proficiency with data visualisation tools and techniques.
  
• Experience with AWS is a plus.
  
• Strong problem-solving and critical-thinking abilities.
  
• Excellent communication and presentation skills.
  
• Ability to manage multiple projects and prioritize tasks effectively