Data Scientist
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Salary
≈ $44k – $89k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. Synpulse scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Synpulse is a Swiss management and technology consulting firm that advises banks, insurers and other financial institutions on strategy, operations, regulatory change and technology transformation, with its headquarters in Hergiswil, Switzerland. Founded in 1996, it runs around 21 offices in Europe, the Americas and Asia-Pacific, including Zurich, London, Ulm, Bratislava, Singapore, Hong Kong, Manila, Pune and Sydney, and its Synpulse8 unit builds digital and AI products for financial services. It hires consultants, business analysts and product owners for banking and reinsurance projects, solution architects, data and software engineers, testers and marketing and accounting staff.
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.
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