Job Description

Responsibilities:Data Analysis and Modelling:

• Develop and deploy machine learning and artificial intelligence models and algorithms to extract insights, predict outcomes, and optimize processes
• Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable information from large datasets
• Apply statistical techniques and hypothesis testing to validate findings

Data Strategy and Planning:

• Collaborate with stakeholders to define data-driven objectives and formulate data strategies aligned with business goals
• Identify key performance indicators (KPIs) and establish data collection and measurement protocols

Feature Engineering:

• Engineer features and create data pipelines to prepare and clean data for modelling
• Work with data engineering teams to ensure data availability and quality

Model Evaluation and Deployment:

• Evaluate model performance and fine-tune models for improved accuracy
• Deploy models in production environments and monitor their ongoing performance
• Implement best practices for model version control and management
• Ensure proven models are integrated into business processes and software products removing the requirement for human intervention to implement the model within their respective businesses

Cross-Functional Collaboration:

• Collaborate with business analysts, data engineers, and domain experts to understand and address specific business problems
• Communicate findings and insights to non-technical stakeholders in a clear and actionable manner

Leadership and Mentorship:

• Provide leadership and mentorship to junior data scientists
• Participate in knowledge-sharing and training programs to enhance the data science capabilities of the team
• Foster a collaborative and innovative work environment

Data Privacy and Compliance:

• Ensure data privacy and compliance with relevant regulations and best practices
• Develop and enforce data security protocols

Requirements:

• Degree in Computer Science, Data Science, or a related field
• Proven experience in data science roles, including hands-on experience with machine learning, deep learning, and statistical analysis
• Proficiency in data analysis and machine learning tools and libraries e.g. Python, R
• Strong programming skills and knowledge of data manipulation and visualization
• Expertise in data preprocessing, feature engineering, and model evaluation
• Excellent problem-solving and critical-thinking skills
• Strong communication and interpersonal skills to effectively collaborate with various stakeholders
• Relevant certifications e.g. Certified Data Scientist etc. are a plus

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