Quantexa and Scoring Engineer

ETeam Inc
Charing Cross, United Kingdom
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 136K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Unit Testing
Azure
Continuous Integration
ETL
Python
Machine Learning
SQL Databases
Feature Engineering
Random Forest
Spark
Deep Learning
GIT
Machine Learning Operations

Job description

We need a Quantexa certified ETL and scoring engineer., Analyse business requirements and support and maintain Quantexa platform. Build and deliver AI systems as an individual contributor and in teams Help design and maintain a solution using a rigorous hypothesis-based approach, partner with cross functional technical teams including solution architect and data engineers, and execute the development with focus on impact Rapidly and iteratively deliver results in a fast-paced environment with skills creative to pivot quickly for alternative solutions Break down complex concepts into succinct components which can be easily communicated to range of stakeholders Able to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human Able to collect, clean and organise data, to generate insights from data to solve business problems and create business value. Explaining and presenting analytical results Analyse defects and provide fixes Provide release notes for deployments Support Release activities Problem solving attitude Keep up to date with new skills - Develop technology skills in other areas of Platform

Requirements

Quantexa data engineer certification and hands on experience in Quantexa ETL and scoring tools. Exposure to Fraud, financial crime, customer insights or compliance-based projects that utilize detection and prediction models Strong knowledge of statistics, deep learning, machine learning, K-NN, random forest, ensemble methods etc Experience with MLOps including model deployment, CI/CD and unit testing. (GIT, Azure devops etc) Experience in building ML pipelines, feature engineering and ability to handle large dataset for business insights. Experience with model governance including explainability, observability and documentations Scala and Python knowledge desirable, Apache Spark, Azure platform knowledge is a plus Strong knowledge of SQL Strong Analytical, machine learning and deep learning skills

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