AI Data Scientist

Hiring

AI Data Scientist Our clients is a dynamic and innovative SaaS, Cloud, Machine Learning, AI company committed to leveraging data-driven insights to enhance decision-making processes. As they continue to expand their analytics capabilities, they are seeking a few highly skilled and motivated Senior Data Scientist to join their award winning team.

Position: Senior Data Scientist. Location: UK, South East England

Responsibilities

• Data Analysis and Modelling:
• Utilise statistical methods and machine learning techniques to analyse complex datasets.
• Develop predictive models and algorithms to extract meaningful insights.
• Programming and Scripting:
• Proficient in programming languages such as, C#, Python, R, or Java to manipulate and analyse large datasets.
• Develop and maintain efficient and scalable code for data analysis tasks.
• Data Cleaning and Pre-processing:
• Clean and pre-process raw data for analysis, ensuring data quality and integrity.
• Implement data wrangling techniques to handle missing values and outliers.
• Collaboration with Cross-Functional Teams:
• Collaborate with data engineers, software developers, and business analysts to integrate data-driven solutions into operational processes. Communicate findings and insights to both technical and non-technical stakeholders.
• Machine Learning Model Deployment:
• Implement machine learning models into production systems, ensuring scalability and efficiency. Monitor and optimise deployed models for ongoing performance improvement.
• Continuous Learning and Innovation:
• Stay updated on industry trends and emerging technologies in data science and machine learning. Propose and implement innovative approaches to enhance data analytics capabilities.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, or related field.
• A minimum of a 2:1 classification or above in the degree.
• Strong programming skills in languages such as, C# Python, R, or Java.
• Proven experience in applying statistical methods and machine learning techniques to real-world problems.
• Solid understanding of data pre-processing, cleaning, and feature engineering.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills