Data Scientist

InterEx Group; Greater London; On-site; GBP 32,000 - 52,000; Full time

Job summary

InterEx Group is seeking a data analytics specialist to transform complex datasets into actionable insights in a fast-paced environment. You will design prediction models and work closely with engineers to bring analytical prototypes into production. The ideal candidate has 1–2 years of experience in quantitative analytics, strong programming skills in Python and SQL, and familiarity with Big Data tools such as Hadoop, Cassandra and Spark. A degree in a quantitative field is required.

Qualifications

• Bachelor's degree or equivalent in quantitative field.
• 1–2 years of experience in quantitative analytics or data modelling.
• Knowledge of predictive modelling and ML techniques.

Responsibilities

• Analyze raw data: 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

Skills

Python

Java

SQL

C/C++

Education

Bachelor's degree in quantitative field

Tools

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)