Data Scientist

Synpulse Group; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Market-competitive benefits

One-spirit culture

Employee events

Job summary

Synpulse Group in Singapore is seeking a data scientist to join our analytics practice. You will identify data sources, automate collection, and build models for financial services clients.

You will work with Python, R, and SQL, develop predictive algorithms, and present insights with visualization tools. The role emphasizes applied statistics, Gen AI techniques, and collaboration in an agile environment.

Qualifications

• 3+ years of professional experience as a Data Scientist.
• Experience with the financial services domain preferred.
• Experience with LLMs and Gen AI techniques.
• Strong statistical and modeling skills.

Responsibilities

• Identify data sources and automate data collection.
• Process structured and unstructured data.
• Analyse information to discover trends and patterns.
• Build predictive models and ML algorithms.
• Present information using data visualization techniques.
• Propose solutions and strategies for business challenges, agile-friendly.

Skills

LLMs & Gen AI techniques

Data science experience

Data analysis

Education

BSc in Statistics, Mathematics, CS, or Engineering

Tools

Python

R

Power BI

Scala

SQL

Jupyter Notebook

Job description

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.

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

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

Benefits

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