Data Scientist

Synpulse; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Attractive fringe benefits

Can-do culture

Employee initiatives

Job summary

Synpulse Group is seeking a Data Scientist to transform data into actionable insights. The role focuses on building predictive models, analyzing complex data sets, and communicating results with stakeholders in a fast-moving financial services context.

The candidate should have a strong foundation in statistics and ML, with hands-on experience in Python, R, Power BI and Jupyter. Collaboration and agile workshop facilitation are valued in this global team.

Qualifications

• BSc or higher in Statistics, Mathematics, CS, Engineering or related field.
• 3+ years of working experience as a Data Scientist.
• Experience in Financial Services sector (Banking & Insurance).
• Experience with LLMs and Gen AI techniques.
• Understanding of applied statistics, mathematics and ML models.
• Applied knowledge in Python, R, Power BI, Scala and/or SQL and Jupyter Notebook.
• Ability to evaluate statistical models such as ML, Optimisation and Neural Networks and other AI approaches.
• Ability to facilitate Data Design Workshop.

Responsibilities

• Identify data sources and automate collection processes.
• Process structured and unstructured data.
• Analyse information to discover trends and patters.
• Build predictive models and machine learning algorithms.
• Present information using data visualisation techniques.
• Propose solutions and strategies to business challenges including workshops for stakeholders, preferably using agile practices.

Skills

Data Science

Python

R

SQL

Power BI

Jupyter

LLMs & Gen AI

Statistics

Machine Learning

Agile

Education

BSc or higher in Statistics/Mathematics/CS/Engineering

Tools

Power BI

Jupyter

SQL

Python

Job description

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia and India. We are a valued partner to many of the world‘s largest international financial services and insurance firms. We support our clients at all project management stages from the development of strategies and operational frameworks to the technical implementation and handover. Our expertise in business and technology combined with our methodic approach enable us to create sustainable added value for our client’s business.

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia and India. We are a valued partner to many of the world‘s largest international financial services and insurance firms. We support our clients at all project management stages from the development of strategies and operational frameworks to the technical implementation and handover. Our expertise in business and technology combined with our methodic approach enable us to create sustainable added value for our client’s business.

Job Requirements

• BSc (or above) in Statistics, Mathematics, Computer Science, Engineering or relevant field
• At least 3 years of working experience as a Data Scientist
• Demonstrated ability to transform ways of work with particular interest in Financial Services (Banking & Insurance) sector
• Has experience working with LLMs and other Gen AI techniques
• Understanding of applied statistics, Mathematics and building supervised and unsupervised machine learning models
• Applied knowledge in Python, R, Power BI, Scala and/or SQL and Jupyter notebook
• Demonstrated ability to evaluate statistical models such as Machine Learning, Optimisation and Neutral Networks and other approaches to AI
• Can facilitate Data Design Workshop

Job Responsibilities

• Identify data sources and automate collection processes
• Process structured and unstructured data
• Analyse information to discover trends and patters
• Build predictive models and machine learning algorithms
• Present information using data visualisation techniques
• Propose solutions and strategies to business challenges including facilitating workshops for relevant stakeholders, preferably using agile software development practices

Job Benefits

• Attractive fringe benefits and salary structures in line with the market.
• Can-do mentality and one-spirit culture.
• Varied events and employee initiatives.