PALO IT is a global innovation and software development company dedicated to helping organizations craft tech as a force for good. We work with clients to rapidly launch products and services, create new business models, and prepare leadership and culture for the future. We are a community of innovators, designers and technologists across 16 offices and five continents (France, Hong Kong, Singapore, Thailand, Australia, Mexico, Colombia, Spain and the United States).
We're committed to helping businesses transform to better our world. We're proud to be a World Economic Forum (WEF) New Champion, and a B Corp-certified company in Singapore, Hong Kong and Mexico, currently working towards certification across all other locations.
YOUR ROLE:
The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. You will research and develop innovative solutions to deliver impact to our clients, contributing to bring intelligence in their digital mesh with the support of other Palo IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams.
YOUR RESPONSIBILITIES:
- Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
- Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner. Examples include:
- Understanding a business problem
- Data Collection
- Data Preparation (cleaning, transformation, feature engineering)
- Model Training and Experimentation
- Model Evaluation
- Deployment
- Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
- Communicate algorithms results, limits and potential for improvement in a meaningful way
- Evaluate third party datasets and emerging technologies (e.g. LLMs, AI Agents, latest developments in Neural Networks) that may contribute to better results
- Collaborate with clients and other PALO IT practices to build a comprehensive end-to-end approach, gathering the relevant labelled data and features for ML algorithms into data-driven apps
- Participate in development of selected assets/accelerators that create scale
- Contribute to thought leadership through research and publication support
- Collaborate with cross-functional teams to productionize ML models
- Stay up-to-date with the latest data science and data engineering techniques and tools
- Provide technical leadership and mentorship to junior team members
- Deploy ML models into production (either alone or working with data engineers if necessary)
- Be a member of presales team to propose solutions for client opportunities
WHO YOU ARE:
- You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline. Strong academic performance with analytic and quantitative coursework preferred
- 3-5 years of working experience
- Good knowledge of supervised/unsupervised machine learning techniques and algorithms
- Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
- Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
- Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
- Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
- Data-oriented background in SQL, data wrangling and data modelling
- Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
- Ability to apply advanced data science techniques such as deep learning, reinforcement learning, NLP to develop client solutions
- Willingness to be part of a multi-disciplinary team to develop end-to-end solutions for real world business problems
- Familiar with deploying Data projects into cloud (for example, Azure, AWS, GCP)
MORE ABOUT PALO IT:
We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. With 2025 as our horizon, we are taking action to meet the following objectives:
- Become a climate net-zero company
- Attain 50% of revenue from projects with a positive impact
- Train 100% of our workforce on impact
- Achieve B Corp certification among all 16 of our offices across the globe
- Continuously measure & improve employee happiness
Our clients (https://www.palo-it.com/en/case-study) are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.
WHAT WE OFFER:
- Stimulating working environments
- Unique career path
- International mobility
- Internal R&D projects
- Knowledge sharing
- Personalized training
For more on our team culture and benefits in Singapore, check out our careers page (https://www.palo-it.com/en-sg/careers)
PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.
Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.
Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.
