Job Description

JurisTech is currently on a hiring spree for talented individuals! We are on the lookout for an Associate Data Scientist who is eager to work in a fast-paced environment and can adapt quickly with new technologies. Are you a data enthusiast with amazing analytical skills who loves to solve unique challenges? If that describes you well, then we want you! 

You will be working in a highly collaborative and engaging environment as you will be a part of our Decision & Data Science (DDS) team focusing on data science projects and initiatives. If you think you possess the skills which we are looking for, do submit your profile to us today!

ABOUT YOURSELF:

• You are a data-driven problem solver and a data storyteller.
• You are passionate about turning data into actionable insights.
• You are proactive and a team player.
• You have an innovative and research mindset.
• You are a real data enthusiast that is ready to embrace every area of data science including data validation, cleansing, transformation, automation, analytics, not just predictive modelling and deep learning.

RESPONSIBILITIES

• Gather, process, and analyse historical data to find patterns and trends.
• Transform data into business insights by leveraging analytics and/ or machine learning.
• Consult and present actionable insights and findings to the business stakeholders.
• Build and automate reports and dashboards for business stakeholders.
• Assist the team to deliver and support the data science and analytics projects.
• Assist seniors to carry out research and development (R&D) on the new data science use cases, initiatives, and technologies in finance and banking industry.
• Assist engineers to enhance and maintain the JurisTech's proprietary data products. 

Job Requirements

• A minimum of Bachelor's degree and above in the quantitative field (Artificial Intelligence, Data Science, Statistics, Mathematics, Computer Science, Software Engineering, Business Analytics or equivalent).
• Fresh graduates are welcome to apply but relevant work experience is a plus.
• Experience in statistical programming using Python or R is required.
• Experience in SQL is required.
• Hands-on experience in data processing, data analytics, and machine learning is required.
• Demonstration of relevant experience in analytics and machine learning through work experience, project(s), and/or coursework is required.
• Ability to quickly pick up new technologies and algorithms.
• Ability to present findings and insights to the technical and business stakeholders.
• Ability to communicate effectively within the team and with stakeholders.
• Knowledge in finance and banking will be an added advantage. 

Skills