- +2
- +10
- United Kingdom
À propos
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 a 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)
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology, Consulting, and Management
Industries
Staffing and Recruiting, Appliances, Electrical, and Electronics Manufacturing, and Computer Hardware Manufacturing
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Compétences idéales
- Python
- C
- C++
- Java
- SQL
- Cassandra
- Hadoop
- Spark
- Tableau
- Machine Learning
Expérience professionnelle
- Data Engineer
- Data Scientist
Compétences linguistiques
- English