Data Science Internship Singapore - Singapore

Shift Technology; Singapore; On-site; SGD 27,000 - 36,000; Full time

Benefits offered by this job

Flexible remote/hybrid

Competitive salary + variable bonus

Learning & development

Generous PTO

MAD Days

Job summary

Shift Technology in Singapore is offering a six-month Data Science internship on-site starting January or February 2027. You will join the Data Science team working on fraud detection, ML, NLP, and data pipelines, with exposure to production-quality code.

We welcome recent graduates or final-year students in Math, Stats, Software Engineering, Data Science or ML who have OOP experience (C# a plus) and can clearly explain technical findings to non-technical colleagues.

Qualifications

• You are a recent graduate or in the final year of a bachelor’s or master’s program in Mathematics, Statistics, Software Engineering, Data Science or Machine Learning.
• You have experience in object-oriented programming (OOP) such as internships or projects; familiarity with C# is a plus.
• Solid understanding of statistics and machine learning concepts.
• Ability to articulate findings to non-technical audiences.

Responsibilities

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).

Skills

OOP experience

C#

Communication skills

Education

Bachelor's or Master's in Mathematics, Statistics, Software Engineering, Data Science or Machine Learning

Job description

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

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 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.

The Data Science Team:

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).

Your profile and requirements:

• You are either a recent graduate or in the final year of a bachelor’s or master’s program in Mathematics, Statistics, Software Engineering, Data Science or Machine Learning.
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write production quality code. An experience using C# is a plus.
• You have a clear understanding of statistics and machine learning problems and common resolutions.
• You are able to articulate your thoughts and findings clearly to non-technical audiences.

This internship requires a full-time, on-site commitment for a duration of six months, starting in January or February 2027.

What is next ?

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview
• Technical 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
• 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
• 2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email [e-mail] and we will work with you to meet your accessibility needs.