Data Scientist

InterEx Group; Greater London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading company is seeking a data analyst who excels in leveraging complex data sets to generate insights that drive business improvements. The successful candidate will have a background in quantitative fields and experience with predictive modelling and analytics. This role involves collaborative work with engineering and opportunities to design scalable algorithms for impactful data solutions.

Qualifications

• 1-2 years experience in quantitative analytics or data modelling.
• Deep understanding of clustering and classification techniques.
• Fluency in a programming language is required.

Responsibilities

• Analyze raw data for quality, cleansing, and structuring.
• Design scalable prediction algorithms.
• Collaborate with engineering to bring prototypes to production.

Skills

Predictive modelling

Machine-learning

Data analysis

Collaboration

Education

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

Tools

Python

SQL

C

C++

Java

Cassandra

Hadoop

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)