Total 963 data entry job vacancies in Information Technology category

At Solvios Technology, we are looking for a talented Data Engineer to join our growing team and build scalable data solutions across AWS & Azure. If you’re passionate about data, cloud technologies, and building efficient pipelines — we’d love to connect with you!

Key Responsibilities

• Develop and implement the data strategy for manufacturing and supply chain operations, ensuring alignment with overall corporate objectives.
• Architect, build, and manage BI platforms that deliver actionable insights across cost optimization, operational efficiency, supply chain performance, and order fulfillment.
• Lead, coach, and develop the BI/data team, fostering alignment with strategic priorities and enhancing team capabilities.
• Manage the full lifecycle of BI projects, including planning, budgeting, execution, and stakeholder engagement.
• Collaborate closely with cross-functional partners (manufacturing, procurement, logistics, finance, IT, R&D) to enable accurate, timely, and actionable data flows.
• Provide data-driven insights and strategic recommendations to executive leadership to support decision-making and drive operational excellence.
• Support global business operations, with the flexibility to travel internationally as required.

Qualifications

• Bachelors or Masters degree in Information Systems, Data Analytics, Engineering, or a related discipline.
• 3-5 years of progressive experience in BI, data strategy, or MIS within manufacturing, technology, or supply chain sectors.
• Advanced expertise in data analysis, modeling, and visualization tools such as Power BI, Tableau, SQL, and Python.
• Proficiency in C-Core and Power BI is a must. (Experience with SAP BW or FineReport is a plus). 

To apply, please visit www.gmprecruit.com and search for Job Reference: 3W5338R8

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Key Responsibilities

Technical Presales Engagement

• Partner with enterprise account executives as the dedicated presales consultant across the full sales cycle — from qualification to technical closure
• Lead discovery conversations with customer IT teams, storage engineers, data architects, and senior technology leaders

• Deliver tailored solution presentations, product demonstrations, and architecture overviews aligned to customer outcomes
• Position and articulate business value of data storage and AI-ready solutions against competing alternatives

• Own the technical win — drive customer confidence and preference before deal closure

Solution Design & Proposal Development

• Design high-level and detailed solutions for enterprise data storage across on-premises, cloud, and hybrid architectures
• Produce technically accurate proposals, solution briefs, BOM, and architecture documentation

• Develop TCO / ROI analyses to support commercial decision-making
• Collaborate with product, engineering, and professional services to ensure proposed solutions are deliverable

Proof of Concept (PoC) & Technical Evaluation

• Plan and lead end-to-end PoC engagements — success criteria definition, setup, test execution, and results presentation
• Conduct hands-on demonstrations of data storage platforms and AI-ready infrastructure

• Address and resolve technical objections raised during customer evaluations
• Produce clear PoC outcome reports with results, recommendations, and next steps

RFP / RFI & Customer Advisory

• Lead technical responses to RFPs, RFIs, and enterprise/government tenders
• Ensure technical accuracy, differentiation, and compliance in all bid documents

• Act as a trusted technical advisor — building long-term relationships beyond individual transactions

• Conduct technology briefings and infrastructure roadmap discussions with key accounts

Required Qualifications

Presales Experience

• Minimum 8 years of dedicated presales experience in enterprise IT, majority focused on data storage

• Proven track record of technically supporting and closing enterprise
• Experience engaging enterprise and mid-market customers across Singapore and/or Southeast Asia

• Strong history of leading PoC engagements and delivering proposals that have directly contributed to deal wins

Enterprise Data Storage

• Deep knowledge of SAN, NAS, object storage, all-flash arrays, and hyperconverged infrastructure (HCI)

• Presales experience with: NetApp, Dell EMC (PowerStore, PowerScale, PowerMax), Pure Storage, HPE Alletra, IBM Storage, Hitachi Vantara

• Storage protocols: NFS, SMB/CIFS, iSCSI, Fibre Channel, FCoE, S3-compatible object storage

• Data management: replication, deduplication, compression, auto-tiering, and disaster recovery solutions

• Understanding of software-defined storage (SDS) and cloud-native storage technologies

Cloud & Hybrid Architecture

• Hybrid/multi-cloud storage strategies integrating on-premises with AWS, Azure, and GCP

• Cloud-native storage services: AWS S3/FSx, Azure NetApp Files, Google Cloud Filestore

• Data tiering, cloud backup, disaster recovery as a service (DRaaS), and data mobility across environments

AI & Modern Data Infrastructure

• Understanding of how enterprise storage underpins AI/ML — model training datasets, inference, and data pipeline performance
• Awareness of AI infrastructure: GPU clusters, data lakes, feature stores, vector databases, and MLOps pipelines

• GenAI concepts: RAG architectures, LLM fine-tuning storage requirements, AI-ready storage characteristics

• Ability to position storage solutions within enterprise AI strategy and data readiness conversations

Presales Skills

• Excellent communication — able to adapt messaging for technical engineers and non-technical business stakeholders
• Solution design and documentation skills using Visio, Lucidchart, draw.io, or equivalent

• Commercial awareness: TCO/ROI modelling, solution pricing, and licensing structures

• Highly organized — able to manage multiple concurrent presales engagements at different stages

Preferred Qualifications

• Vendor certifications: NetApp NCDA/NCIE, Dell Technologies Proven Professional, Pure Storage CPIE, HPE ASE Storage

• Cloud certifications: AWS Certified Solutions Architect, Microsoft Azure Solutions Expert, GCP Professional Cloud Architect

• AI platform exposure: NVIDIA AI Enterprise / DGX, Databricks, Snowflake, or equivalent

• Experience in BFSI, healthcare, government, or manufacturing verticals in or

• Prior technical background as a storage engineer or infrastructure architect before moving into presales

• Mandarin proficiency is a strong advantage for regional enterprise and partner engagement

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

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 realize their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

What will you do?

About the team: DXD is a joint Govtech and MOE team that sits at the intersection of technology, design, and education. It’s a place where people solve diverse, complex challenges for the education sector and the organization, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and optimism. 

Responsibilities: As a Data Engineer on DXD’s Data Programme, you will architect and develop infrastructure to support modern data science and machine learning applications. You will also partner actively with policy and business divisions to support MOE-wide digital transformation efforts through the use of Data and AI methods. You will be expected to:

• Take full ownership of end-to-end data systems and architecture development, integrating databases, backend services, DevOps and cloud infrastructure as required to achieve organizational objectives
• Develop data systems and supporting infrastructure, including database administration, ETL pipelining, and analytics tools for use cases across the MOE ecosystem
• Develop infrastructure and applications in accordance with modern cloud technology, ensuring reusability, scalability and security
• Work cross-functionally with Product Managers, Data Scientists and Users with a strong sense of ownership to ensure that products developed meet user needs

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline or equivalent experience.
• Experience with data systems and architecture development, encompassing database systems, backend, DevOps and infrastructure development with care for reusability, scalability and security considerations
• Experience with developing and administering production-grade databases and data pipelines
• Experience with frontend development is a plus
• Experience with data science and machine learning applications is a plus
• Strong communication and collaboration skills
• Passion towards working for public good with interest in the education domain in particular

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at careers@activate.sg

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’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.activate.sg/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.

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Key Responsibilities

Enterprise Data Strategy

• Define and lead the enterprise data strategy and roadmap aligned with organisational priorities
• Drive initiatives to strengthen data governance, management, and analytics capabilities
• Partner with business and technology stakeholders to embed data initiatives into transformation programmes
• Promote data literacy and responsible use of enterprise data

Enterprise Data Governance

• Establish and implement enterprise-wide data governance frameworks
• Define data ownership, stewardship, and accountability across business domains
• Develop and enforce data policies, standards, and governance guidelines
• Set up governance forums such as Data Governance Boards and Councils
• Ensure governance practices are embedded in systems and business processes

System of Record & Data Standards

• Define and maintain System of Record (SoR) and Single Source of Truth (SSOT) principles
• Standardise data definitions, ownership, and reporting metrics
• Establish enterprise data domains and master data structures
• Ensure alignment between systems, platforms, and data standards

Trusted Data Foundations

• Implement data quality frameworks, controls, and monitoring processes
• Establish validation, reconciliation, and exception management processes
• Reduce reliance on manual and spreadsheet-based reporting
• Develop trusted datasets within enterprise analytics platforms (e.g., Snowflake, Qlik)
• Ensure consistent and reliable reporting data sources

Regulatory & Risk Governance

• Ensure data governance aligns with regulatory and compliance requirements
• Implement data lineage, traceability, and documentation standards
• Support audit readiness and governance controls
• Collaborate with Risk, Compliance, and Internal Audit teams

Data Architecture Governance

• Define enterprise data architecture principles and standards
• Work with IT teams to align systems, integrations, and data pipelines
• Participate in architecture reviews for new initiatives
• Provide oversight of enterprise data models and structures

Data & Technology Partnership

• Collaborate with IT and business leaders to align data and technology strategies
• Ensure governance standards are embedded in enterprise platforms
• Support development of analytics and reporting capabilities
• Enable trusted enterprise-wide reporting

Qualifications & Requirements

• 12+ years of experience in data management, data governance, or data architecture leadership
• Proven experience building and implementing enterprise data governance frameworks
• Experience with enterprise data platforms (e.g., Snowflake, Qlik, or similar)
• Strong understanding of data quality, governance, and master data management
• Experience working in complex enterprise environments
• Strong stakeholder management and influencing skills
• Ability to drive cross-functional transformation initiatives
• Bachelor’s degree in Information Systems, Computer Science, or related field
• Relevant certifications (e.g., CDMP, DCAM, TOGAF) are advantageous

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

We’re looking for a Senior Data Engineering Lead who can combine strong technical expertise with leadership and business collaboration to drive enterprise data transformation.

This is a high-visibility role where you’ll work with global stakeholders, design scalable solutions, and enable advanced analytics & AI initiatives.

What You’ll Do
• Lead design and development of scalable data pipelines and data warehouse solutions to support Finance operation.
• Build and manage data transformations using dbt.
• Architect and optimize Snowflake data platforms for performance and cost efficiency.
• Develop ingestion and orchestration workflows using Azure Data Factory (ADF).
• Build automation, data processing, and pipeline logic using Python.
• Enable analytics and reporting through optimized Power BI data models.
• Partner with business and analytics teams to convert requirements into scalable solutions.
• Collaborate with teams across different time zones and drive delivery.
• Mentor and manage a team of data engineers, setting best practices and engineering standards.
• Support AI initiatives by enabling high-quality, analytics-ready datasets.
 

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

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 realize their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

What will you do?

About the team: DXD is a joint Govtech and MOE team that sits at the intersection of technology, design, and education. It’s a place where people solve diverse, complex challenges for the education sector and the organization, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and optimism. 

Responsibilities: As a Data Engineer on DXD’s Data Programme, you will architect and develop infrastructure to support modern data science and machine learning applications. You will also partner actively with policy and business divisions to support MOE-wide digital transformation efforts through the use of Data and AI methods. You will be expected to:

• Take full ownership of end-to-end data systems and architecture development, integrating databases, backend services, DevOps and cloud infrastructure as required to achieve organizational objectives
• Develop data systems and supporting infrastructure, including database administration, ETL pipelining, and analytics tools for use cases across the MOE ecosystem
• Develop infrastructure and applications in accordance with modern cloud technology, ensuring reusability, scalability and security
• Work cross-functionally with Product Managers, Data Scientists and Users with a strong sense of ownership to ensure that products developed meet user needs

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline or equivalent experience.
• Experience with data systems and architecture development, encompassing database systems, backend, DevOps and infrastructure development with care for reusability, scalability and security considerations
• Experience with developing and administering production-grade databases and data pipelines
• Experience with frontend development is a plus
• Experience with data science and machine learning applications is a plus
• Strong communication and collaboration skills
• Passion towards working for public good with interest in the education domain in particular

Benefits

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at 

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’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 () 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.

As a Data Scientist on our team, you will:

Support development of end-to-end machine learning solutions to solve diverse business challenges such as:

• Using LLMs to allow users to interact with internal business systems
• Understanding and classifying Product Images
• Structuring and extracting insights from text data
• Inferring product attributes
• Detecting anomalies
• Matching products across catalogs.

• Maintain and optimize existing models to improve performance and maximize business impact
• Collaborate cross-functionally with other teams to create prompts and validatory datasets to support Machine Learning needs
• Continuously grow your technical expertise, staying up to date with the latest tools, frameworks, and best practices in data science
• Document model development workflows to ensure reproducibility and transparency Communicate complex technical concepts clearly and effectively to non-technical stakeholders throughout the development lifecycle

Role Overview

We are seeking a Marketing Data Analyst to support our first-party data strategy and marketing experimentation programs. This role combines data engineering fundamentals with marketing measurement expertise to drive data-informed marketing decisions in a privacy-first environment.

Key Responsibilities

Marketing Data Pipeline Development: Build and maintain data pipelines using PySpark in Hadoop environments to extract, transform, and load marketing data from internal and external platforms First-Party Measurement & Experimentation: Support A/B testing, incrementality testing, and geo-based experiments to measure true marketing lift; prepare and maintain data pipelines for Marketing Mix Modeling (MMM) initiatives CRM & CDP Analytics: Manage data flows between CRM systems and Customer Data Platforms; build audience segments, support personalization efforts, and maintain unified customer profiles Data Quality & Governance: Develop data quality frameworks with automated validation checks and anomaly detection; ensure data accuracy and support privacy compliance requirements (GDPR, CCPA) Analytics & Reporting: Create automated workflows for campaign reporting and marketing performance dashboards; build analytics tools that provide insights into customer acquisition, ROI, and campaign effectiveness Cross-functional Collaboration: Partner with Marketing, Insights & Analytics team,  Data Science, and other functions to translate requirements into technical solutions; define audience segmentation and measurement requirements for campaign delivery

Required Skills

• Strong programming skills in Python with experience in PySpark and Spark SQL
• Advanced SQL knowledge for complex data manipulation and analytics
• Experience with Hadoop ecosystem components (HDFS, Hive, YARN)
• Familiarity with data orchestration tools (Airflow, Oozie, or similar)
• Understanding of experimentation methodologies: A/B testing, incrementality testing, and lift measurement
• Knowledge of first-party data strategies and privacy-compliant measurement approaches
• Experience with data visualization tools (Tableau, Power BI)
• Strong problem-solving abilities and analytical thinking

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Company’s Profile:

Our client is a leading public healthcare institution that provides seamless, team-based care across all stages of a patient’s health journey. Serving a diverse community, they are committed to innovation, collaboration, and using technology to deliver person-centered, holistic care. Awarded as one of the Best Employers in 2025, they are looking for qualified individuals to join their dynamic environment dedicated to improving lives within the community.

Work location: Jurong East

Job Responsibilities:

• Planning, testing, implementation and documentation of IT related projects to ensure timely delivery of project deliverables.

• Assist in the liaison between users, internal stakeholders and vendors to ensure that requirements are in tandem with organisation’s goals and objectives.

• Maintain and ensure accurate database in IT systems to support pharmacy operations.

• Perform and assess systems testing in accordance with business operations workflow process.

• Generate scheduled data reports and ad-hoc data requests from management and department users.

• Help develop pharmacy data reports and dashboards in collaboration with respective department users.

• Provide end-user support including evaluating user problems, troubleshoot, prioritize needs for respective system application personnels/vendors to resolve.

• Preparing learning resources and conduct training sessions to ensure competency in the use of pharmacy systems.

Requirements:

• At least 2 – 3 years’ IT systems support experience, preferably in the healthcare industry

• Degree in any IT discipline or equivalent

• Strong communication skills with internal & external stakeholders

Interested candidates may whatsapp your resume to 8977 7062. Only shortlisted applicants will be contacted.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

Cassie Chan | R2197426

EnviroDynamics Solutions Pte Ltd | EA No: 12C6285

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

Purpose of the role

The role serves as primary source of data insights, supporting internal and external constituencies, ad-hoc business intelligence and other strategic initiatives.

Scope of the role

Analyse and translate data findings into meaningful and actionable insights. Support the development and implementation of data reporting and analytical frameworks.

Key responsibilities

• Lead, design and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement.
• Institute and adopt best practices in data science, platforms and approaches.
• Establish internal organisational standards and benchmarks.
• Work with other teams in Mediacorp to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
• Become an internal authority on Mediacorp's data tools and resources.
• Support ad-hoc business intelligence and other strategic initiatives.

Foundational / Leadership Competencies

• Demonstrate clear and thorough analytical thinking
• Able to multi-task and deliver against timelines
• Good interpersonal and communication skills
• Takes ownership or project that is being assigned
• Able to work as an individual or as a team player to deliver high quality of work
• Strong written and spoken communication skills. Able to present findings to internal and external business stakeholders confidently.
• Critical thinking and problem-solving skills are essential for this role

Functional Competencies

• Understanding of analytical techniques and their application to business problems.
• Proficiency in data cleaning, transformation, and preparation techniques to ensure data accuracy and reliability.
• Understanding of data structures and data management concepts to support seamless data integration and analysis.
• Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
• Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).
• Must possess exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders.

Experience

Minimum 5 years hands-on experience in data science, including developing and production of data science models

PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.

About Amartha

At Amartha, we empower micro-businesses across Indonesia, enabling growth and equal prosperity. We’ve supported over 2.7 million entrepreneurs—mostly women—by disbursing IDR 22.8 trillion in funding. As we step into 2026, Amartha is evolving into a technology-driven financial ecosystem, expanding our reach in lending, funding, and payments. Through innovation and digital solutions, we aim to enhance accessibility, streamline processes, and create a seamless user experience.

About the Role

As a Digital Lending - Data Analyst Intern, you will support the team in analyzing user and transaction data, building dashboards, and generating reports to monitor digital lending performance.

You will work closely with Product, Marketing, and Growth teams to identify insights, improve user journey, and support data-driven decision making. You will also assist in data cleaning and reporting automation to ensure data accuracy and efficiency.

Job Descriptions

• Collect, clean, and process data from various internal systems and sources.
• Develop dashboards and performance reports (weekly/monthly) related to users, transactions, and digital funnel performance.
• Conduct analyses to identify trends, pain points, and opportunities for improving the digital user journey.
• Collaborate with Product, Marketing, and Growth teams to provide insights and data-based recommendations.
• Support documentation of data definitions, metric calculations, and dataset structures.
• Assist in automated reporting (scheduling queries, report generation, and alerting)

• Final-year student or fresh graduate in Statistics, Mathematics, Information Systems, Information Technology, Industrial Engineering, or a related field.
• Proficiency in SQL (required) — able to write queries from scratch.
• Familiar with Excel / Google Sheets (lookup, pivot, formulas).
• Comfortable working with large datasets and performing data cleaning.
• Strong attention to detail, analytical mindset, and comfortable working with numbers

At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth.

We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.

Working Hours: Monday - Friday (10am – 7pm)
Working Location: Central
Salary Package: Up to $7,000 (with VB and AWS)

We are looking for Data Engineer to join our team of analytics experts.
The hire will be responsible for expanding and optimising data and data pipeline architecture, as well as optimising data flow and collect for cross - functional teams.

Key Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements

• Minimum 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
• Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
• Working experience in database development (Oracle SQL/PLSQL)
• Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis
• Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation
• Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig
• Basic knowledge of Oracle database architecture

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781

Job Responsibilities :

This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.

• Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
• Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
• Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.
• Build and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
• Develop and fine-tune models to improve AI in gaming applications.
• Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
• Stay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.
• Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
• Assist in the deployment, monitoring, and maintenance of AI models in production environments.
• Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable

Pre-Requisites :

• Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
• Experience with game engines such as Unity and Unreal Engine is a plus.
• Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
• Experience in training and fine-tuning large-scale AI models.
• Experience with cloud-based AI deployment (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to translate research into practical solutions.
• Excellent verbal and written communication skills to collaborate with technical and non-technical teams.
• Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.

Education & Experience

• Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
• 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.

Travel Requirements

Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.