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Data Specialist - Unstructured Data - Financial Services (Contract)
Location: London Country: UK Rate: £500 - 600 per day, Benefits: PAYE
 
Data Specialist - Unstructured Data - Financial Services

We are supporting an organisation within Financial Services.

This is 12 months initially.

It is hybrid 40% per cent each Month in the London Stratford office.

This is up to £600 PAYE PER DAY - it is direct payroll, so the employer's NI is contributed by the client.

We are seeking those with Unstructured Data experience and Financial Services exposure.

What does this job involve?
As a Data Acquisition Specialist, you will use various technical solutions such as API functionalities to source accurate and reliable data.
-As a Data Acquisition Specialist, you will present, disseminate, and explain your work to a diverse group of stakeholders via presentations, reports, and workshops.
-As a Data Acquisition Specialist, you will collaborate with subject matter experts to understand data requirements and ensure accuracy in model selection for analysis.
-As a Data Acquisition Specialist, you will be involved in mentoring junior staff by providing guidance throughout data related projects.

What will I get from the role?
-Be a part of the Consumer Duty Strategy for the protection of customers across financial services.
-Play a key role in delivering the Data Strategy agenda
-Working with likeminded colleagues to identify patterns and help the organisation spot and stop harm faster.
-The opportunity to build productive relationships, enabling internal stakeholders to achieve their strategic objectives.
-The opportunity to work in a new team that will drive the organisation towards becoming a more data-enabled organisation.

Minimum, Essential & Desirable skills
Minimum skills
  • Strong interest and understanding of Consumer Duty.
  • Practical experience in implementing APIs to gather data.
  • Ability to think through problems creatively and independently.

Essential
  • Hands on experience with programming languages including Python or RStudio.
  • Practical experience working closely with diverse stakeholders to identify business problems and use data to propose solutions for effective decision making.
  • Excellent organisational skills, delivering multiple tasks under pressure.

Desirable
  • Experience applying data science techniques, including machine learning, in the Financial Services industry.
  • Experience building solutions using unstructured data.
  • Degree in mathematics, statistics, computer science or related field.
  • Familiarity with Data Visualisation tools such as Tableau or PowerBI.
  • Experienced in a variety of Data Science techniques. It would be beneficial to have
  • Knowledge of methods such as Natural Language Processing, Network Analytics, Predictive Modelling.

Posted Date: 07 May 2024 Reference: JSBH-9594-1 Employment Business: Brookwood Contact: Li Li
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