Data Scientist

InterEx Group; Greater London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading data analytics firm in Greater London seeks a Data Analyst to leverage data and analytical skills to generate actionable insights. Ideal candidates will have a Bachelor's degree in a quantitative field and experience in predictive modelling and programming. This role offers opportunities for significant impact in business improvements through data-driven decisions.

Qualifications

• 1-2 years of experience in quantitative analytics or data modelling.
• Deep understanding of predictive modelling and machine learning techniques.
• Fluency in a programming language such as Python, C, C++, Java, or SQL.

Responsibilities

• Analyze raw data, assessing quality, cleansing, and structuring.
• Design accurate and scalable prediction algorithms.
• Collaborate with the engineering team to bring analytical prototypes to production.
• Generate actionable insights for business improvements.

Skills

Data analysis

Predictive modelling

Programming in Python

Machine learning

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, or Engineering

Tools

Spark

Tableau

Job description

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with the engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years of experience in quantitative analytics or data modelling
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C, C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)