Senior Data Analyst (AI and Machine Learning), max 50k

As a Senior Data Analytics (AI/Machine Learning), you will lead data-driven initiatives and leverage advanced analytics to deliver actionable insights. This is a temporary role in the financial services industry

Client Details

This is a well-established financial services organization with a strong presence in the market. As a large organization, they are committed to innovation and leveraging advanced technologies to drive success.

Description

• Leading the development and implementation of AI and machine learning models to optimize customer relationship management (CRM) strategies.
• Analyzing large datasets to derive actionable insights for business growth and customer engagement.
• Collaborating with cross-functional teams to identify and address business challenges using data-driven solutions.
• Ensuring data accuracy and integrity through effective data governance practices.
• Monitoring and evaluating the performance of implemented analytics models to ensure optimal outcomes.
• Providing regular reports and insights to stakeholders to support strategic decision-making.
• Staying updated on the latest trends and advancements in AI, machine learning, and analytics within the financial services industry.
• Mentoring and guiding team members to enhance their analytical capabilities.
  
  

Profile

• Min. 2-3 years of experience in data analytics, AI/ML and Cloud environment
• Proficiency in programming languages such as Python, R, or SQL.
• Experience in implementing AI and machine learning models in a business environment.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication skills to present insights effectively to stakeholders.
• A degree in data science, computer science, statistics, or a related field.
• Familiarity with the financial services industry is an advantage.
  
  

Job Offer

• Attractive salaey
• Opportunities to work on cutting-edge AI and machine learning projects.
• Collaborative and innovative work environment.
  
  

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Samantha Yiu at Apply Now