Jobs

Senior Data Engineer


Job details
  • Allen Recruitment Consulting
  • London
  • 4 months ago
Applications closed
Location: London, Greater London, United Kingdom 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: BBBH 25040 

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 yearsof experience in analytics role working with large datasetsExpert SQLproficiencyData visualisation / Dashboard design & development experience (e.g. Tableau)Master of Science degreein computer science or in a relevant field. Experience working in Risk/ Fraud/ Finance desired Python/ R nice to have

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