SQL Data Scientist

We are looking for a talented Data Scientist with at least 5 years of hands-on experience in SQL, and a background in payment. finance or compliance to join our client for an initial contract of 12 months with a chance for an extension.

The main function of this role is to help the finance team by producing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

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.

Location: UK

Type: Remote – Can be based anywhere in the UK

Duration: 12 months with a chance for an extension

Visa sponsorship: No

Job Reference: BBBH 24288

Job Responsibilities:

• Apply knowledge of statistics, machine learning, programming, data modeling, 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 analyze 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 support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

Requirements:

• At least 5 years of hands-on experience using SQL is a must.
• Financial/payment/compliance background preferred.
• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.
• Master of Science degree in computer science or in a relevant field.

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