
Data Scientists ML Engineer London
- London
- Permanent
- Full-time
- Python Core language for statistical analysis machine learning and data wrangling
- SQL Hive Pig For querying structured and semistructured data
- ScalaJava Advantageous for working with big data platforms like Apache Spark or Hadoop
- Handling missing inconsistent or noisy data
- Data cleaning transformation and feature engineering
- Experience with tools like Splunk and Power BI to create dashboards and visual insights
- Knowledge of statistical tests distributions regression models and estimators
- Ability to interpret and apply statistical methods to realworld data problems
- Strong foundation in Multivariable Calculus and Linear Algebra
- Essential for understanding and optimizing machine learning algorithms
- Decision Trees Forests
- kNearest Neighbors kNN
- Naive Bayes
- Support Vector Machines SVM
- Decisionmaking models
- Understanding of model selection training validation and performance metrics