Data Engineer - Maidenhead (Hybrid) - Permanent

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.

If this exciting opportunity could be of interest - please let me know ASAP. Interviews can be arranged at short notice.