Data Scientist

• Exciting opportunity to work on emerging technologies in financial services|Inclusive work environment
  
  

About Our Client

One of the largest multinational professional services firm in nearly 150 countries committed to deliver quality in assurance and advisory to their clients.

Job Description

• Stakeholder Engagement:
• Collaborate with internal stakeholders and clients to elucidate the value of their data through advanced analytic and compelling visualisations.
• Conduct workshops and presentations to foster data literacy and promote the strategic use of data.
• Data Analysis and Predictive Modelling:
• Develop and implement predictive models, utilising statistical methods, data mining techniques, and other analytic strategies to uncover insights from complex data sets.
• Perform exploratory data analysis to identify trends, patterns, and anomalies in data.
• Data Mining and Product Development:
• Extract and analyse data from various sources to inform the development of new product offerings and enhance existing ones.
• Leverage insights to optimise marketing strategies and improve overall business performance.
• Model Development and Maintenance:
• Create, maintain, and improve predictive models, including machine learning and large models to achieve targeted business outcomes and evaluate risks.
• Ensure models are robust, up to date, and aligned with evolving business goals.
• Risk Management and User Experience Optimisation:
• Utilise data-driven insights to formulate risk mitigation strategies and interventions, ensuring a balance between effective risk management and an enhanced user experience.
• Analyse user feedback and behaviour data to inform product and service enhancements.
• Project Management:
• Oversee end-to-end project management, including requirement clarification, research design, time-line setting, and execution.
• Ensure project deliverable meet stakeholder expectations and business objectives.
• Industry Awareness and Continuous Learning:
• Keep abreast of current industry trends, technological advancements, and best practices related to data analytic and visualisation.
• Actively seek opportunities for professional development and apply new knowledge to enhance analytic capabilities.

The Successful Applicant

Educational Background

• Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Applied Statistics, Mathematics, or a closely related discipline.
  
  

Professional Experience

• Minimum 2 years of relevant working experience in a data analytic role.
• Working experience in a financial, professional services firm
  
  

Technical Skills

• Strong knowledge and hands-on with statistical and data mining techniques.
• Proficiency in statistical modelling, algorithms, machine learning, and predictive analytic.
• Programming expertise in SQL and Python; familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Understanding of Large Models (LLMs) with familiarity in their application.
  
  

Data Visualisation And Communication

• Proven experience in visualising and presenting data insights to stakeholders, translating complex data into understandable formats.
• Exceptional written and verbal communication skills, with an emphasis on effectively conveying complex ideas to both clients and internal teams using presentation best practices.
  
  

Additional Skills

• Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously.
• Strong analytic skills with a detail-oriented mindset and the ability to derive actionable insights from data.
  
  

What's on Offer

Exciting opportunity to work on emerging technologies in financial services with an inclusive work culture

Contact: Jayden Yap (Lic No: R22110369/ EA no: 18C9065)

Quote job ref: JN-092024-6534616

Brand: PP