Data Science (DS) Internship

ABOUT US

Founded in 2014, Circles is a global technology company reimagining the telco industry with its SaaS platform - Circles X, helping telco operators launch and operate successful digital brands through its offerings.

Having pioneered a successful blueprint for disrupting the telco space in Singapore, Circles has since launched its own digital telco, Circles.Life, in Singapore, Taiwan and Australia. Circles has also partnered with other telco operators to launch digital services, enabling our partners to accelerate growth and capture market share within a short period of time.

Today, Circles is partnering with operators in 14 countries to deliver delightful digital experiences to millions of people through our businesses.

We are backed by global investors such as Sequoia, Warburg Pincus, EDBI Singapore and Founders Fund – renowned backers of industry-shaking innovators.

About This Role

Are you passionate about data analytics and machine learning?

We're on the lookout for a dynamic and motivated Data Science Intern to join our innovative team at Circles. This is a fantastic chance to kickstart your career as a Data Science professional while gaining hands-on experience in data analysis, statistical modeling, and predictive analytics.

As a Data Science (DS) Intern, your key objectives will be to:

• Own - All Things Data.
• Work with engineering and operation teams to identify and prioritize key areas of the business.
• Data Collection and Analysis - Proficiently gather, cleanse, and perform thorough analysis of data from diverse sources.
• Data Visualization - Create informative and visually appealing reports and dashboards to facilitate data-driven decision-making.
• Data Interpretation - Translate intricate data sets into actionable insights, simplifying complexity for non-technical stakeholders.
• Predictive Modeling and Algorithm Development - Apply statistical and machine learning techniques to construct predictive models, algorithms, and data-driven products.
• Data Insight Extraction - Extract valuable insights from extensive and complex datasets, delivering actionable recommendations for business stakeholders.
• Machine Learning System Development - Design, engineer, and deploy machine learning pipelines and production-ready systems.
• Cross-functional Collaboration - Collaborate effectively with cross-functional teams to seamlessly integrate data science models into existing business systems and applications.
• Continuous Learning - Remain current with the latest advancements in machine learning, data science, and related fields, and apply emerging knowledge to address evolving business challenges as necessary.

Job Requirements

We are looking for passionate Security engineering individuals who:

• Pursuing a degree in Data Science, AI, Computer Science, or a related field (After second year completion).
• Duration: 1 year
• Availability: Full-time, Monday to Friday without interruptions
• Strong programming skills in Python.
• Knowledge on MySQL, Mongo, Gitlab, will be an added advantage.
• Familiarity with software testing methodologies.
• Eagerness to learn and adapt to new technologies.

What’s on offer:

We provide a great environment and platform for employees to build their career. In this role, you can expect:

• Unique opportunity to be a part of innovating the telecommunications industry.
• Once in a lifetime chance to help shape a brand from the ground up.
• Autonomy in the role and in managing your own portfolio.
• Exposure to the fast-paced world of high-tech start-ups.
• Attractive experience and compensation.
• Working with passionate, smart and driven colleagues in a vibrant environment.

To all recruitment agencies: Circles.Life will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program.

Please do not forward resumes to our jobs alias, Circles.Life employees or any other company location. Circles.Life will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.

Circles.Life is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.