Senior Data Scientist

3 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Capco Full time

Malaysia

Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

ABOUT CAPCO

Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

ROLE DESCRIPTION

As a Senior Data Scientist, you will be the subject matter expert in the field of data science.

In this role, you'll need to provide support to data scientists on machine learning, AI, and other advanced analytics. You will engage in continuous knowledge sharing and transfer of best practices and techniques in the data science space.

KEY RESPONSIBILITIES

  • Lead complex data mining and extraction/transformation projects.
  • Utilize advanced machine learning tools for model building to support decision making and to drive use cases.
  • Contribute to the development of Gen AI use cases.
  • Contribute to the development of best practices in data science.
  • Develop insights from data patterns to support decision-making and drive implementation.
  • Contribute to the development of projects from a data-driven approach.
  • Provide thought leadership on emerging trends in data science.
  • Mentor and guide data scientists in analytics projects as well as in data science-related activities.
  • Collaborate with peers to share expertise and insights.
  • Support data scientists in regular review sessions with respective Retail stakeholders, SMEs, and Commercial Banking to ensure alignment on data solutions, deliverables, and standards against Business Challenges.
  • Contribute to the development of the data science strategy.
  • Formulate MLOps framework for the department.

SKILLS AND EXPERIENCE

  • Bachelor's degree/Masters/PhD in a quantitative field such as Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.
  • Minimum of 3 years of hands-on experience in developing Supervised Learning and Unsupervised Learning analytics models for CRM, Fraud, or Productivity gain use cases.
  • Good knowledge of advanced analytics techniques applied for model development on use cases.
  • Python programming experience with good knowledge of advanced analytics model development.
  • Good working knowledge in using visualization tools to present findings. Tableau > Python > SAS.
  • Able to write and execute complex queries in SQL.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer:

A work culture focused on innovation and building lasting value for our clients and employees.

Ongoing learning opportunities to help you acquire new skills or deepen existing expertise.

A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.

A diverse, inclusive, meritocratic culture.

Enhanced and competitive family-friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

NEXT STEPS

If you're looking forward to progressing your career with us, please do not hesitate to apply. We look forward to receiving your application.

To learn more about Capco and its people, check out the website at www.capco.com.

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