Here’s an improved structure for clarity and professionalism, with concise formatting and better readability:

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.