Senior Data Engineer

Allen Recruitment Consulting; London; Remote; GBP 60,000 - 90,000; Full time

Job summary

A leading company in online technologies is seeking a Senior Data Engineer based in the UK. You will leverage your extensive experience in data analysis and machine learning to develop innovative solutions and support applications in a fast-paced, creative environment.

Qualifications

• 5-10 years of experience in analytics role working with large datasets.
• Experience working in Risk/Fraud/Finance desired.

Responsibilities

• Apply knowledge of statistics, machine learning, and programming to recognize patterns.
• Design and evaluate predictive models for optimal value extraction from data.
• Collaborate with product engineers to translate prototypes into new features.

Skills

Data Analysis

Machine Learning

Data Modelling

Programming

Education

Master of Science degree in computer science or in a relevant field

Job description

Social network you want to login/join with:

• Remote: Remote
• Type: Temporary
• Job #25301

We are looking for Senior Data Engineer to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.You will be working on a team that detects fraudulent activity within payments for ads so experience in this space would be beneficial.

Based in London, our client is renowned for their continuing advancements in online technologies that have changed the world. An ambitious, fast-paced forward-thinking company with a very creative culture. They are looking for an experienced Data Scientist to join their team on a fully remote basis.

Location: Must be based in the UK
Type : Remote
Duration: 6 – 12 months
Visa sponsorship : No
Job Reference : BBBH25040

Job Responsibilities:

Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

Generate and test hypotheses and analyse and interpret the results of product experiments.

Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

Requirements:

• 5-10 years of experience in analytics role working with large datasets
• Master of Science degree in computer science or in a relevant field.
• Experience working in Risk/ Fraud/ Finance desired