AI Data Scientist, R, Python, Matplotlib, Seaborn, Tableau).

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