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Data Science Associate

Salary undisclosed

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Responsibilities

  • Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines to acquire, clean, transform, and store large volumes of structured and unstructured data from various sources.
  • Data Analysis & Visualisation: Perform exploratory data analysis and data visualisation to identify patterns, trends, and insights that drive actionable recommendations and improve business outcomes.
  • Machine Learning: Collaborate with senior data scientists to develop and deploy machine learning models and algorithms for predictive and prescriptive analytics, leveraging a wide range of techniques such as regression, classification, and clustering
  • Automation: Develop automated processes and scripts to streamline data-related tasks, including the generation and distribution of reports, dashboards, and other data deliverables. Implement scheduling and monitoring mechanisms to ensure timely and accurate execution of automated processes.

Why Lendela?

Lendela is revolutionising the personal loan industry by connecting consumers with financial institutions through our cutting-edge technology-driven reverse auction model. Inspired by a Scandinavian success story, our highly experienced team has been facilitating seamless connections between banks and consumers since 2003.

At Lendela, we foster a vibrant and inclusive workplace culture with a Nordic flat structure that encourages practicality, autonomy, and personal growth. If you are seeking an opportunity to develop your skills and accelerate your career, this position is tailor-made for you. Joining our team means you'll have the chance to challenge the status quo and contribute to reshaping the way we work.

As a rapidly growing fintech start-up that has established a strong presence over the past five years, we have amassed vast amounts of data from all angles. This wealth of data awaits your exploration, allowing you to unleash your creativity and uncover new insights. At Lendela, data-driven decision making is at the heart of our operations, and your analyses will play a pivotal role in driving the company's growth trajectory.

In addition to the exciting opportunities for professional development, this role offers competitive compensation in the market. You will have the privilege of working alongside seasoned fintech experts and former top management professionals from renowned companies such as MoneyMatch, Lazada, Deliveroo, and Lalamove. Based in Kuala Lumpur, Lendela's central tech development hub, your contributions will directly impact the company's business performance and innovation strategy.

But it's not all work and no play at Lendela. We believe in creating a supportive and enjoyable work environment. You can indulge in freshly brewed coffee prepared by our in-house barista whenever you need a pick-me-up, and complimentary beverages are available after 4pm every day. We also organise weekly badminton sessions to help you blow off some steam, and a selection of snacks is readily available for you to munch on throughout the day.

Join us at Lendela and be a part of an exciting journey to transform the personal loan industry. Experience the thrill of working with a dynamic team, unlocking the potential of data, and making a lasting impact on our business.

Job Requirements

  • Preferably graduates from data, mathematical, or any IT related fields.
  • Strong understanding of data manipulation, transformation, and cleaning techniques.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with SQL and NoSQL databases.
  • Knowledge of machine learning concepts and algorithms, with hands-on experience in model development and evaluation considered a plus.
  • Solid understanding of statistical concepts and their application in data analysis.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
  • Excellent communication skills, both verbal and written, with the ability to effectively explain complex concepts to non-technical stakeholders.