Data Scientist

Shift Technology; Singapore; Hybrid; SGD 100,000 - 125,000; Full time

Job summary

A leading AI insurance platform is hiring a Data Scientist in Singapore to work on integrating and delivering AI solutions for clients. Responsibilities include data engineering, model development for fraud detection, and client interactions. Ideal candidates should have 1-3 years of experience in data science, be proficient in Python and C#, and able to communicate complex AI concepts in English. Flexible working options and competitive benefits are offered.

Benefits

Flexible remote and hybrid working options

Competitive Salary

Company equity

Learning and Development opportunities

Generous PTO and paid holidays

Mental health benefits

Paid volunteering days

Qualifications

• 1-3 years of relevant experience in data science or related fields.
• Proficient in writing maintainable, production-quality code.
• Strong understanding of statistics and machine learning.

Responsibilities

• Implement data engineering from client extracts to data storage.
• Develop, test, and put models into production for fraud detection.
• Automate business tasks within the production process framework.
• Conduct client meetings and define product roadmaps.

Skills

Data engineering

Machine learning

Python

C#

Business analysis

Education

Degree in Computer Science or related field

Degree in Machine Learning or Statistics

Tools

SQL

ElasticSearch

Job description

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Shift Technology offers a unique opportunity to brilliant candidates to accelerate their careers in data science.

• Data scientists work on a broad range of subjects, acquiring a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions; skills invaluable in any career.
• Our company is small enough that each person’s achievements have an impact on overall performance, yet big enough to be a world leader in our domain.
• We are a fast growing company, the best contributors will grow to managerial or product tech lead positions much more rapidly than in bigger companies

What you'll do

The data science team is in charge of technically delivering the Shift products to clients, the key role in the success of our projects with clients. It is a hands‑on job, expect to be doing everything you can imagine from the technical side in an AI company :

• Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
• Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments.
• Automate key business tasks by implementing them in our production process framework in C#
• Conduct meetings with clients and interact with external stakeholders, whether it is direct user feedback, presenting business cases or defining the roadmap of evolutions for that client

You will actively participate in the definition and development of our suite of products on fraud detection, anti‑money laundering and claim automation, working on various data types such as structured data, free text, documents and images.

What you bring

As a result of the range of the role, we are looking for people with diverse skills and proficiencies to help make our customers successful. We are open to people not having exactly all of the required skills, but in each one of those they must be willing to build expertise.

• At the early stages of your data science career with 1‑3 years of relevant experience, looking to step into the next role.
• Code‑savvy, either by having a degree in computer science and / or having developed some apps with actual users, or by willing to spend a lot of time practicing. Writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production‑quality code that will run everyday without breaking.
• AI‑savvy, either by having a degree in machine learning and / or statistics or be looking to work on those subjects. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
• Business smart. We don’t expect candidates to know the insurance sector, but we want people who can learn and master the business aspects of our products.
• Fluent English speaker. We are an international company with offices in many countries and 50+ nationalities, the Shift working language is English.

Recruitment process

• Coding exercise
• Talent Acquisition interview
• Technical interview
• Hiring Manager interview

To support our permanent, full‑time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight :

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Multiple Learning and Development opportunities, including Focus Fridays, a half‑day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country - ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.