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Senior Data Scientist

Salary undisclosed

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Company Description

Skill Quotient Technologies is a CMMI level 3 & ISO 27001:2013 certified IT company specializing in Cyber Security, Robotic Process Automation, Data Analytics, SAP, Software Development, and Software Testing. With offices in the USA, UAE, Malaysia, Singapore, and India, we have a dedicated team of 1200+ employees driving innovation.

12 Month Contract with SQ

location: KL

Client Domain: Bank

Position: Senior Data Scientist

PRIMARY OBJECTIVE

• As subject matter expert in the field of data science

• To provide support to data scientist on machine learning, AI and other advanced analytics

• To do continuous knowledge sharing/transfer of best practice/techniques in the data science space

REQUIREMENTS (Qualification/Experience/Skills)

• Bachelor Degree/Masters/PhD in a quantitative field such as Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.

• Python

• Machine learning

• SAS

• Advanced statistical knowledge

• Dataiku

• Gen AI (LLM, Knowledge library)

• MLOps

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 in 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 project from data driven approach.

• Provide thought leadership on emerging trends in data science.

• Mentor and guide data scientist in analytics projects as well in data science related activities

• Collaborate with peers to share expertise and insights.

• To support data scientist in regular review sessions with respective Retail stakeholders, SME 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