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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)
Key Skills
Ranked by relevance
c
prototypes
cassandra
big data
tableau
python
hadoop
scala
spark
java
sql
lua
esp
lan
oop
san
ui
ha
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- Posted
- Nov 18, 2024
- Type
- Full-time
- Level
- Entry
- Location
- Greater London
- Company
- InterEx Group
Industries
Staffing
Recruiting
Appliances
Electrical
Electronics Manufacturing
Computer Hardware Manufacturing
Categories
Information Technology
Consulting
Management
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