Total 7 science job vacancies in Information Technology category in Singapore Polytechnic

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improve risk management, and enhanced customer experiences. 
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high performance data team
• Influence Stakeholders: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. 
• Data to Drive Business Impact:  Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.  

What we are looking at:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in  Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem solving and critical thinking skills  in a structured fashion
• Strong prioritization abilities according to business needs and constraints.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

As a Senior Consultant in Data Science & Analytics, Financial Services (FS) focus you will work on both local and international client engagements on data science topics, including data acquisition and exploration, building relevant models, and presenting results to stakeholders.

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our clients’ leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership.
• Identify, acquire, process, and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools, and processes.
• Evangelize data science in the region by contributing to training & upskilling.
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership.

• Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.
• High interaction with external clients and manage internal and external stakeholders.
• Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• Work with the broader Visa data science team to create data driven solutions.
• Focus on building data science visualization capabilities to solve client's problems.
• Drive innovation through using data science techniques
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

[What you will be working on]

• Administer Career Conversion Programme (CCP) which includes document verification, onboarding processes and disbursement of grant

• Provide guidance to companies on application and grant claim processes using various systems

• Market CCP through industry engagements with enterprises which includes media profiling / events

• Facilitate job matching for job seekers and hiring companies

• Work with various stakeholders to establish a sustainability community of practice

• Fulfill Audit requirements for administration of CCP

• 1-year non-renewable contract

[What we are looking for]

Candidates should possess the following:

• Relevant qualifications in administration, management or science and technology

• Competency in data management, verification and experienced in handling placement related programmes

• At least 2 years of relevant industry and/or research experience in areas related to administration of placement related programmes

• Strong communication and interpersonal skills with the ability to build strong working relationships with people at all levels

• Sound planning and organising skills, practical, nimble and responsible

• Proficient in IT skills

What a Director Data Science, Visa Consulting & Analytics does at Visa:

The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office.

The individual will be accountable for leading the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking/payments domain with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify the strategic areas where data science can drive strong business impact, in alignment with the organization's goals and priorities.

• Develop holistic data science strategies for driving innovations, accelerate new solution launches, create data offerings in alignment with business strategy

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for IPVMC engagements

• Establish best practices for data science project governance, solution development and operationalization

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI.

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets.

• Establish clear success measures for data science projects and drive continual improvement

• Promote thought leadership in the data science domain and build intellectual property through innovation

• Effectively interact with clients and manage internal/external stakeholder communication

• If required on a per-project basis, work onsite for a short duration

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

About us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia’s leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the cusp of something great, where we’re working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There’s a lot more work to be done with all of our exciting plans. So we’re looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!)

The Role:

Are you passionate about using data to solve real-world challenges? We are seeking a motivated and curious Data Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.

About Our Projects:

Our data science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:

• Demand Forecasting: Anticipating future product demand to enhance inventory control and production scheduling.
• Personalised Recommendations: Providing tailored suggestions to customers to enhance satisfaction and interaction.
• Attribute Tagging: Automating product attribute labelling to enhance search and filtering functions.
• Size Recommendation: Suggesting optimal sizes for customers based on their measurements and preferences.
• Fraud Prevention: Detecting and flagging potential fraudulent activities to safeguard against risks.

What We Are Looking For:

• Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning.
• Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences.
• Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects

Advantageous to Have: 

• Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus
• Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills

• Work on real-world projects that have a direct impact on the business.
• Gain hands-on experience with industry-standard data science tools and methodologies.

• Be mentored by experienced data professionals and learn from their expertise.
• Develop your professional network and build valuable connections within the industry
• Market level internship salary and benefits provided
• A dynamic, no corporate-BS environment to learn and grow