Data Scientist

Your day-to-day responsibilities will involve collaborating with fellow data scientists on complex analysis projects, contributing fresh perspectives on proof-of-concept initiatives, and engaging in research activities that anticipate evolving business requirements. You will be instrumental in guiding stakeholders towards the most effective data transformation strategies while creating robust models using state-of-the-art tools.

DATA SCIENTIST

Salary: Competitive and based on experience
Location: Hong Kong

Keywords: collaborate, support, insights, analytics, stakeholder, team, data transformation, model creation, business processes, interpersonal

A leading organisation in Hong Kong is seeking a Data Scientist to join their talented analytics team. This role offers you the opportunity to work closely with experienced data scientists and contribute to end-to-end projects, from understanding business requirements through to delivery. You will be involved in complex data science and analysis initiatives, as well as pioneering new proof-of-concept and research projects that anticipate future business needs. The position provides a collaborative environment where your input will help guide stakeholders on optimal data transformation approaches, create impactful models, and utilise cutting-edge tools. You will also partner with product design and engineering teams to develop a deep understanding of organisational needs, enabling smarter business processes and implementing analytics for meaningful insights. Flexible working opportunities, generous training support, and exposure to diverse industries make this an ideal role for those looking to grow their expertise in a supportive setting.

* Work alongside knowledgeable data scientists and contribute to innovative projects that drive business impact across multiple units and external partners.
* Enjoy flexible working opportunities and access to ongoing training support, ensuring your professional development is prioritised within a nurturing team environment.
* Gain exposure to a variety of sectors including Retail, FMCG, Property, and Telecom, broadening your experience while collaborating with cross-functional teams.

What you'll do:

As a Data Scientist based in Hong Kong, you will play a pivotal role in supporting the analytics team throughout the entire project lifecycle. Your day-to-day responsibilities will involve collaborating with fellow data scientists on complex analysis projects, contributing fresh perspectives on proof-of-concept initiatives, and engaging in research activities that anticipate evolving business requirements. You will be instrumental in guiding stakeholders towards the most effective data transformation strategies while creating robust models using state-of-the-art tools. Working closely with product design and engineering teams, you will help shape smarter business processes by implementing analytics that generate meaningful insights. Your ability to establish clear KPIs, report accurately, mine large datasets for actionable information, and communicate findings effectively will ensure your success in this role. By partnering with both technical and non-technical colleagues across departments, you will foster a culture of collaboration that drives continuous improvement in data management practices.

* Assist team members in developing new insights, advanced modelling techniques, and expanding data science capabilities across the organisation.
* Execute analytical experiments methodically to solve diverse problems and deliver tangible impact for business units and external partners.
* Establish actionable KPIs and success metrics while ensuring timely and accurate reporting of results to stakeholders.
* Leverage data science tools and techniques to analyse large datasets, enabling the development of custom models and algorithms that uncover valuable trends and patterns.
* Devise and utilise algorithms to mine big data sets, perform error analysis to improve models, and clean as well as validate data for uniformity and accuracy.
* Work closely with IT teams to facilitate easy access to computing resources and ensure effective utilisation of data assets within the business.
* Support senior data scientists in identifying and integrating new datasets that enhance product capabilities, collaborating with engineering teams on strategy and execution.
* Identify relevant data sources for client business needs by collecting large structured and unstructured datasets from various channels.
* Partner with non-technical departments to help them understand how data science can benefit their effectiveness and performance.
* Communicate analytic solutions clearly to stakeholders, implementing improvements as needed for operational systems.

What you bring:

The ideal candidate for the Junior Data Scientist position brings proven academic credentials or equivalent practical experience in quantitative fields such as statistics or computer science. Your background includes at least three years spent applying advanced analytical techniques within varied industry settings—experience in Retail or Telecom would be particularly beneficial but not essential. You are comfortable handling complex datasets from multiple sources using modern machine learning methods alongside traditional statistical approaches. Your proficiency extends beyond technical skills: you are adept at communicating intricate concepts clearly so that stakeholders across departments can appreciate the value of your work. Experience with deep learning technologies like NLP or computer vision further enhances your profile. Familiarity with distributed computing platforms (Hadoop) and cloud services (AWS/Azure/GCP) ensures you can operate efficiently within contemporary digital infrastructures. Above all else, your collaborative approach enables you to connect meaningfully with colleagues from both technical and non-technical backgrounds—helping drive collective progress towards shared goals.

* A master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics or any related quantitative field; equivalent working experience is also acceptable.
* At least three years of experience working in a data science capacity within any sector; prior exposure to Retail, FMCG, Property or Telecom is considered advantageous.
* Strong technical understanding of Martech concepts including personalisation strategies and marketing automation tools is preferred.
* Extensive experience solving analytical issues using quantitative approaches such as machine learning methods along with advanced statistical techniques.
* Comfort analysing large-scale high-dimensional datasets from multiple sources using sophisticated data mining methods.
* Proficiency in mathematics, statistical analysis, pattern recognition techniques, predictive modelling methodologies as well as coding abilities in Python or R.
* Experience working on Deep Learning projects such as NLP (Natural Language Processing), computer vision applications or neural networks is desirable.
* Familiarity with distributed computing tools like Hadoop plus experience operating within cloud environments such as AWS, Azure or GCP.
* Excellent communication skills enabling you to tailor technical messages for diverse audiences leading to improved decision making across the business.
* Ability to collaborate effectively with cross-functional teams including IT, engineering, product design and non-technical departments.

What sets this company apart:

This organisation stands out for its commitment to fostering growth leadership through supportive mentorship within its analytics division. Employees enjoy flexible working opportunities tailored around individual needs—ensuring work-life balance remains a priority even during busy project cycles. Generous training programmes are available so you can continually expand your skillset while staying abreast of emerging trends in data science. The company values inclusivity by welcoming candidates from under-represented backgrounds into its communal network; teamwork is encouraged at every level so everyone feels connected regardless of their department or area of expertise. Exposure across multiple sectors—including Retail/FMCG/Property/Telecom—means you’ll gain invaluable experience while contributing directly towards impactful business outcomes. With dependable infrastructure backing every initiative plus access to cutting-edge technology stacks (cloud computing/distributed systems), this is an environment where your contributions are recognised—and your career trajectory supported every step of the way.

What's next:

If you are ready to share your passion for analytics within a collaborative team environment—and want your work to make a real difference—this is the perfect opportunity for you!

Apply today by clicking on the link provided.