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Senior Data Scientist

4 months ago

England, United Kingdom JAM IT Consultancy Ltd Full time

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.

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.

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
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