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Job Title: Data Scientist
Reports to: Head of Data Science (Aslan)

Job Purpose

The Data Scientist will develop and implement advanced data analytics and machine learning models to drive business insights and support strategic decision-making. This role involves close collaboration with the Data Engineering and Business Intelligence teams to translate business requirements into actionable data solutions.

Key Responsibilities

Model Development: Develop and deploy predictive models and algorithms to forecast demand, optimise operations, and enhance business performance.
Data Analysis: Analyse large, complex datasets to uncover patterns, trends, and correlations that inform business strategy.
Collaboration: Work with subject matter experts to understand business challenges and deliver data-driven solutions.
Stakeholder Communication: Present findings and actionable recommendations to stakeholders across all organisational levels.
Continuous Improvement: Stay updated on the latest data science techniques, tools, and technologies, identifying opportunities for implementation.
Mentorship: Mentor and support junior data science team members to foster their growth and development.

Required Qualifications and Skills

Education: Master's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science).
Experience: 3-4 years in data science or advanced analytics, preferably in a commercial setting.
Technical Skills:

Proficiency in programming languages such as Python or R.
Expertise in machine learning algorithms, statistical modelling, and data visualisation techniques.
Experience with large datasets and implementing data pipelines.

Soft Skills:

Excellent problem-solving, critical thinking, and communication skills.
Ability to collaborate with cross-functional teams and stakeholders.

Business Acumen: Understanding of business operations and translating data insights into actionable recommendations.

Preferred Qualifications and Skills

Industry experience in retail, healthcare, or facilities management.
Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
Knowledge of agile software development methodologies