Agile/Scrum

project management, software development, methodology

Open jobs

5796

Companies looking for

5391

Agile/Scrum: the tech world’s favorite buzzword cocktail. Born out of the Agile Manifesto in 2001, Scrum became the go-to framework for teams tired of bloated waterfall
methods. In theory, it's all about adaptability, collaboration, and delivering incremental value. In reality? Mostly just stand-up meetings that no one really stands for
anymore. Competing with Kanban and other agile frameworks, Scrum’s claim to fame is its structured approach: sprints, backlogs, and the coveted daily scrum. Great for keeping
teams "aligned," or at least pretending to be. But let’s face it—Scrum can turn into a bureaucratic mess if not done right (looking at you, cargo cult Scrum Masters).

Still, in its current state, it’s used everywhere from startups to massive enterprises trying to be 'nimble'—despite drowning in Jira tickets. Key differentiator? Scrum loves
process, but not too much process. Just enough to keep you sprinting in circles.

Used together with Agile/Scrum

Additional Resources

Agile Manifesto Agile Data Modelling Agile Data Warehouse Design Scrum: An Honest Ad

Jobs (this month)

5796

Companies with Jobs

5391

Jobs in

All cities

Amsterdam

San Francisco

London

Paris

New York

Berlin

Copenhagen

Singapore

Tokyo

Sydney

Madrid

Rio De Janeiro

using Agile/Scrum for

All job types

Analytics Engineers

Data Engineers

Analysts

Data Scientists

Machine Learning Engineers

Others

but please no

Agile/Scrum

JIRA

Activity Schema

Adobe Analytics

Agile/Scrum

Artificial Intelligence/Machine Learning

Airbyte

Apache Airflow

Alation

Alteryx

Amplitude

Analytics

Analytics Engineering

Ansible

Apache Flink

Application Programming Interface (API)

AppDynamics

Redpanda

Webhooks

Argo CD

Apache Arrow

Astronomer

Amazon Athena

Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

Amazon EMR

AWS Glue

Amazon Kinesis

AWS Lambda

Amazon RDS

Microsoft Azure

Azure Data Factory

Azure DevOps

Bash

Apache Beam

Business Intelligence (BI)

Big Data

BigEye

Google BigQuery

Blendo

Blockchain

C

C#/.NET

Apache Cassandra

Cyber Security

Certified Cloud Security Professional (CCSP)

Certified Information Systems Security Professional (CISSP)

FinOps

Customer Data Platform (CDP)

Chef

Chroma

Continuous Integration/Continuous Delivery (CI/CD)

Circle CI

ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

Computer Science

Confluence

C++

Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

Cypress

Dagster

Dashboard

Data Analytics

Data Contracts

Data Engineering

Data Governance

Data Lake

Data Lakehouse

Data Management

Data Modelling

Data Quality

Data Science

Data Vault

Data Visualization

Databricks

Datacoral

Datadog

Google Cloud Dataflow

Datafold

Google Dataform

Dataiku

DataOps

Google Cloud Dataproc

Data Analysis Expressions (DAX)

dbt (data build tool)

Delta Lake

DevOps

Docker

Dremio

DuckDB

Data Warehouse

DynamoDB

Dynatrace

Elasticsearch/ELK Stack

Enterprise Resource Planning (ERP)

ETL/ELT

Ethereum

Binance

Non-Fungible Tokens (NFT)

Geographic Information System (GIS)

Decentralized Finance (DeFi)

Smart Contracts

Chainalysis

Web3

Microsoft Excel

Feather

Fivetran

Funnel

Google Cloud Platform (GCP)

GDPR/CCPA

Generative AI

Git

GitHub

GitLab

Go

Google Analytics

Google Cloud Composer

Google Cloud Data Fusion

Google Cloud Functions

Google Cloud Run

Google Sheets

Grafana

Google Tag Manager (GTM)

Apache Hadoop

Apache HBase

Hierarchical Data Format

Hadoop Distributed File System (HDFS)

Heap Analytics

Hevo Data

Apache Hive

HyperText Markup Language (HTML)

Hubspot

Hyper-V

IBM

Apache Iceberg

Informatica

Data Collection

Internet of Things (IoT)

Java

JavaScript

Jenkins

Jira

JavaScript Object Notation (JSON)

JSON Schema

Apache Kafka

Keras

Kibana

(Kimball) Dimensional Modeling

Kissmetrics

Key Performance Indicator (KPI)

Kubernetes

Linux

Large Language Models (LLM)

Logstash

Looker

Looker Studio

Luigi

Management

MariaDB

Marketing

Marketing Mix Modeling (MMM)

Master Data Management

Masthead Data

Matillion

MATLAB

Matomo

Matplotlib

Modern Data Stack

Meltano

Mendix

Metabase

Microsoft

Microsoft Fabric

Mixpanel

MLOps

Mode Analytics

MongoDB

Monte Carlo

MySQL

IBM Netezza

Neo4j

New Relic

Natural Language Processing (NLP)

NoSQL

NumPy

Opsgenie

Oracle

Optimized Row Columnar (ORC)

PagerDuty

Pandas

Apache Parquet

Pendo

Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

Plausible Analytics

Playwright

Plotly

Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

PowerShell

Prefect

Presto

Process Mining

Prometheus

Protocol Buffers

Pub/Sub

Pulumi

Puppet

Puppeteer

Pydantic

PySpark

Python

PyTorch

Qlik

Amazon QuickSight

R (Language)

Retrieval Augmented Generation (RAG)

Relational Database Management System (RDBMS)

React

Redash

Redis

Amazon Redshift

Recurrent Neural Networks

Rust

Amazon S3

Software as a Service (SaaS)

Amazon SageMaker

SAP

SAS

Scala

Scikit-learn

SciPy

Seaborn

Twilio Segment

Selenium

Singer

Sisense

Snowflake

Snowplow

Apache Spark

Splunk

SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services

Stitch

Data Streaming

Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

Terragrunt

Third Normal Form (3NF)

TOML

Trifacta

Apache Trino

Apache Druid

TypeScript

Unix

Visual Basic for Applications (VBA)

Vector DB

Vertica

VirtualBox

Virtual Machine

VMware

Microsoft Word

Extensible Markup Language (XML)

Xplenty

Yet Another Markup Language (YAML)

Motherduck

PostHog

Kestra

Omni Analytics

Thoughtspot

Lightdash

Hudi

Open Table Format (OTF)

Lance

data scientist Technical Product Manager, Marketplace Intelligence & Data @ shopee SG \| 2025-12-28 This role is a complex, high-impact technical product manager tasked with driving innovation in Shopee's e-commerce data infrastructure. The position requires deep expertise in data engineering,... read more »	DWH, AI/ML, Data Science, Computer Science, Management, SQL, Analytics, Agile/Scrum	Technical Product Manager, Marketplace Intelligence & Data shopee (SG) FULL TIME \| JOB LISTED This role is a complex, high-impact technical product manager tasked with driving innovation in Shopee's e-commerce data infrastructure. The position requires deep expertise in data engineering, machine learning, and e-commerce operations, with a focus on building scalable systems and delivering impactful products. While the job offers opportunities to influence product development and collaborate across teams, it is challenging due to the need to manage multiple technical projects, navigate cross-functional expectations, and maintain alignment with business goals. The role stands out for its emphasis on real-world data challenges and the opportunity to work on cutting-edge AI and data systems, but lacks clarity on compensation and the specific technologies or tools expected. The job is technically demanding and requires a blend of technical and managerial skills, with a focus on delivering value through data-driven solutions. Generated content Technology used DWH AI/ML Data Science Computer Science Management SQL Analytics Agile/Scrum Listed At 2025-12-28 2025-08-21 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist AVP/VP, Data Scientist, AI Alpha Group @ gic SG \| 2025-12-28 GIC's Artificial Intelligence Alpha Group seeks a Data Scientist to design and operationalize the data modeling layer for AI-powered investment systems. The role blends data science with data... read more »	AI/ML, Data Modelling, Data Science, Data Streaming, Analytics, Computer Science, Python, Spark, RDBMS, PostgreSQL, Vector DB, LLM, Git, Cloud Computing, AWS, GCP, Azure, Databricks, Agile/Scrum	AVP/VP, Data Scientist, AI Alpha Group gic (SG) FULL TIME \| JOB LISTED GIC's Artificial Intelligence Alpha Group seeks a Data Scientist to design and operationalize the data modeling layer for AI-powered investment systems. The role blends data science with data engineering: batch and streaming processing, data platforms, and scalable models with high accuracy and performance. You'll work with investors, data scientists, and engineers, using Python, Spark, PostgreSQL, and vector DBs like Milvus or FAISS, and apply ML/LLMs to processing and modeling. Cloud familiarity (AWS, GCP, Azure, Databricks) and dev practices matter. The challenge is balancing strict finance-domain constraints with rapid experimentation; the risk/reward hinges on governance, data quality, and platform stability more than hype. It's senior, cross-functional, and finance-focused, with a 4-day office policy and a focus on long-term impact rather than buzzwords. Generated content Technology used AI/ML Data Modelling Data Science Data Streaming Analytics Computer Science Python Spark RDBMS PostgreSQL Vector DB LLM Git Cloud Computing AWS GCP Azure Databricks Agile/Scrum Listed At 2025-12-28 2025-11-14 (original listing) Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
data scientist Program Manager (Learning and Development) @ amd SG \| 2025-12-27 AMD's Technical Training Program Manager sits at the tech-people interface, tasked with designing and delivering enterprise-wide technically grounded learning in a fast-moving semiconductor... read more »	AI/ML, Agile/Scrum, Analytics, Management	Program Manager (Learning and Development) amd (SG) FULL TIME \| JOB LISTED AMD's Technical Training Program Manager sits at the tech-people interface, tasked with designing and delivering enterprise-wide technically grounded learning in a fast-moving semiconductor culture. The role promises hands-on coordination with engineers and leaders to map skill needs, build structured learning pathways, and deploy AI-enabled content with data-informed personalization. Expect heavy emphasis on program management: on-time, on-budget delivery, vendor management, and the creation of dashboards that track participation and skill progression. The tech angle is real but not hands-on coding; the job leans on digital learning platforms, AI-assisted tooling, and analytics to prove impact. The risk is generic L&D talk without crisp metrics, plus the challenge of aligning learning with ruthless product delivery. Singapore-based, it's a credible regional hub for AMD's Asia-Pacific ambition, but not a traditional data-engineering role, and salary visibility remains opaque. Generated content Technology used AI/ML Agile/Scrum Analytics Management Listed At 2025-12-27 2025-11-14 (original listing) Permalink View original posting
data scientist Quant Research @ thefalconx SG \| 2025-12-26 The FalconX quant role promises a high-signal perch at the crypto market's edge, focusing on Financial Risk Management for a Portfolio Management System. You’ll design and implement models for... read more »	Management, AI/ML, Python, R, MATLAB, Agile/Scrum, React	Quant Research thefalconx (SG) FULL TIME \| JOB LISTED The FalconX quant role promises a high-signal perch at the crypto market's edge, focusing on Financial Risk Management for a Portfolio Management System. You’ll design and implement models for market, credit, and operational risk, crunch large crypto datasets with Python, R, or MATLAB, and translate risk insights into dashboards for traders and product leads. The split into Services, Options Market Making, and D1 Team hints at a practical, production‑oriented environment rather than ivory‑tower research. Expect fast pace, exotic instruments, and the perennial crypto data quality problem; success hinges on rigorous risk frameworks, cross‑functional collaboration, and appetite for ambiguity. The upside is real exposure to institutional clients and market‑making dynamics, but the role sits squarely in the slog between research and production, not a glamour data science gig. Generated content Technology used Management AI/ML Python R MATLAB Agile/Scrum React Listed At 2025-12-26 2025-10-23 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Associate AI Developer/ AI Developer (Full stack) - Artificial Intelligence, SAP Labs Singapore @ sap SG \| 2025-12-25 SAP Labs Singapore advertises an Associate AI Developer role nestled inside a global ERP behemoth’s AI push. The job promises multi-terabyte data pipelines, cloud-based AI work, and collaboration... read more »	SAP, AI/ML, Cloud Computing, Computer Science, Java, Scala, Go, Python, C++, Big Data, Hadoop, Spark, Kafka, Docker, Kubernetes, AWS, Azure, GCP, Agile/Scrum, PowerShell, JavaScript, Linux, Puppet, Chef, Ansible, Data Science, ERP, Analytics, Management	Associate AI Developer/ AI Developer (Full stack) - Artificial Intelligence, SAP Labs Singapore sap (SG) INTERNSHIP \| JOB LISTED SAP Labs Singapore advertises an Associate AI Developer role nestled inside a global ERP behemoth’s AI push. The job promises multi-terabyte data pipelines, cloud-based AI work, and collaboration with AI scientists, data engineers, and DevOps, which sounds grand until you ask what 'top-notch AI systems' actually means and how fixed timelines mesh with exploratory research. You’ll need Java, Scala, Go, Python, Node.js or C++, plus Hadoop, Spark and Kafka, with Spring, Flask, AngularJS and more, all deployed on Docker/Kubernetes and cloud platforms (SAP BTP, AWS, Azure, GCP). The market is crowded with similar roles; SAP’s advantage is scale and enterprise responsibility, but the risk is vague success criteria and bureaucratic pace. Singapore-specific work rights gate adds friction but aligns with its engineering hub ambitions. Generated content Technology used SAP AI/ML Cloud Computing Computer Science Java Scala Go Python C++ Big Data Hadoop Spark Kafka Docker Kubernetes AWS Azure GCP Agile/Scrum PowerShell JavaScript Linux Puppet Chef Ansible Data Science ERP Analytics Management Listed At 2025-12-25 2025-04-09 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Senior CRM Operation Specialist @ binance SG \| 2025-12-25 Binance lurks behind the world’s largest crypto exchange, offering vast reach but wrapped in regulatory fog and reputational risk; this CRM Operations Specialist role promises to build and... read more »	Binance, Blockchain, Web3, CRM, Management, Marketing, Analytics, AI/ML, Data Analytics, Computer Science, Hubspot, Agile/Scrum	Senior CRM Operation Specialist binance (SG) FULL TIME \| JOB LISTED Binance lurks behind the world’s largest crypto exchange, offering vast reach but wrapped in regulatory fog and reputational risk; this CRM Operations Specialist role promises to build and optimize multi-channel campaigns (App Push, email, inmail, social pushes) while slicing data for deliverability, open rates, and personalized segmentation. The tech stack centers on Braze, Salesforce, HubSpot, and push-tools, plus data monitoring, A/B testing, and cross-functional alignment to shrink creation, approval, and send times. It’s heavy on data discipline—data accuracy, tagging, deduplication, privacy compliance—and demand for proof: 0→1 CRM builds with verifiable results. Opportunities include carving out efficiency gains (target 20%), exploring new channels and AI-assisted reactivation. The role stands out for its scale and explicit emphasis on operational rigor, but the crypto space brings regulatory, market, and reputational headwinds that temper the lure. Generated content Technology used Binance Blockchain Web3 CRM Management Marketing Analytics AI/ML Data Analytics Computer Science Hubspot Agile/Scrum Listed At 2025-12-25 2025-10-21 (original listing) Permalink View original posting
promoted O'Reilly: Building AI Agents with Model Context Protocol (MCP) Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.	Get Started
data scientist Associate, Securities Operations (Contract) @ gic SG \| 2025-12-25 GIC seeks a candidate with at least three years of Fixed Income operations experience, adept at enhancing operational efficiency through automation and AI, with a focus on risk mitigation. The... read more »	Management, AI/ML, Excel, SQL, Agile/Scrum	Associate, Securities Operations (Contract) gic (SG) FULL TIME \| JOB LISTED GIC seeks a candidate with at least three years of Fixed Income operations experience, adept at enhancing operational efficiency through automation and AI, with a focus on risk mitigation. The role offers a distinct advantage for those familiar with AI toolkits, but a significant risk lies in handling complex securities transactions under tight deadlines without errors, given GIC's global scope and compliance demands. Generated content Technology used Management AI/ML Excel SQL Agile/Scrum Listed At 2025-12-25 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Consulting, Cyber Strategy & Governance, Graduate Associate 2026 @ kpmg-singapore SG \| 2025-12-25 KPMG Singapore's Cyber Strategy and Governance role is a consulting position, shaping cyber operating models for CEOs and CISOs, with heavy emphasis on governance, risk, and regulatory alignment... read more »	Cyber Security, Management, AI/ML, Computer Science, GDPR/CCPA, Cloud Computing, AWS, Azure, GCP, Data Analytics, Agile/Scrum	Consulting, Cyber Strategy & Governance, Graduate Associate 2026 kpmg-singapore (SG) FULL TIME \| JOB LISTED KPMG Singapore's Cyber Strategy and Governance role is a consulting position, shaping cyber operating models for CEOs and CISOs, with heavy emphasis on governance, risk, and regulatory alignment rather than hands-on engineering. You'll assess maturity, draft policies, and produce dashboards across industries, anchored in frameworks such as NIST CSF, ISO 27001, and COBIT, with cloud security, access management, business continuity, and AI governance in scope. The dealmaker is breadth: cross-functional teams, client delivery, and potential AI/ML experience as an advantage; the downside is the advisory treadmill: constant regulatory updates, multi-client timelines, and the pressure to meet diverse expectations while keeping the work practical. The pay is undisclosed; the perks include mobility, training, and Take Charge flexi-work. It's a credible path for governance aficionados, less so for those seeking deep operational security engineering. Generated content Technology used Cyber Security Management AI/ML Computer Science GDPR/CCPA Cloud Computing AWS Azure GCP Data Analytics Agile/Scrum Listed At 2025-12-25 2025-10-20 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Senior Data Scientist- #AIDA @ singtel SG \| 2025-12-25 The role at Singtel represents a strategic transformation aimed at integrating AI and data analytics into the core of the company’s operations. It demands expertise in data engineering, machine... read more »	AI/ML, Data Analytics, Analytics, BI, Data Engineering, Big Data, DataViz, GenAI, Management, R, Agile/Scrum, Data Science, Computer Science, NLP, Python, PySpark, Unix	Senior Data Scientist- #AIDA singtel (SG) FULL TIME \| JOB LISTED The role at Singtel represents a strategic transformation aimed at integrating AI and data analytics into the core of the company’s operations. It demands expertise in data engineering, machine learning, and business intelligence, with a focus on building AI literacy and fostering a culture of innovation. The job emphasizes translating business needs into technical solutions, leading teams, and collaborating across functions. While the position highlights the importance of technical skills in AI and data science, it lacks specificity regarding salary, and the responsibilities are broad, leaving room for interpretation. The role is well-positioned in terms of technological innovation but may lack clarity on career progression and team dynamics. The company’s emphasis on human potential and agility aligns with modern data engineering trends, but the lack of concrete salary details and limited focus on specific technologies may hinder its appeal to candidates seeking clarity and structure. Generated content Technology used AI/ML Data Analytics Analytics BI Data Engineering Big Data DataViz GenAI Management R Agile/Scrum Data Science Computer Science NLP Python PySpark Unix Listed At 2025-12-25 2025-09-09 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Data Scientist (Gen AI), Manager, Data & AI, Technology Consulting @ ernstandyoung SG \| 2025-12-24 The role at EY DnA seeks a data scientist to drive predictive analytics and AI integration, with a focus on end-to-end data engineering and business impact. The position requires expertise in ETL,... read more »	Analytics, Data Analytics, Go, Big Data, LLM, Data Science, Python, ETL/ELT, Data Engineering, Agile/Scrum, BI, DWH, Management, Computer Science, GenAI, AI/ML	Data Scientist (Gen AI), Manager, Data & AI, Technology Consulting ernstandyoung (SG) FULL TIME \| JOB LISTED The role at EY DnA seeks a data scientist to drive predictive analytics and AI integration, with a focus on end-to-end data engineering and business impact. The position requires expertise in ETL, data engineering, and AI/ML, with a strong emphasis on collaborative project management and stakeholder communication. While the opportunity offers global scale and inclusive culture, the description lacks specific salary details, technical tools, and clear metrics for evaluating candidate qualifications. The role stands out for its emphasis on real-world impact and innovation, but lacks the clarity and specificity needed for a technically rigorous evaluation. Generated content Technology used Analytics Data Analytics Go Big Data LLM Data Science Python ETL/ELT Data Engineering Agile/Scrum BI DWH Management Computer Science GenAI AI/ML Listed At 2025-12-24 2025-08-18 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Risk Manager @ allianz-global-investors SG \| 2025-12-24 Risk Manager role in AP at Allianz Global Investors involves overseeing investment risk, supporting automation and machine learning projects, with a key differentiator being the emphasis on... read more »	Management, AI/ML, Computer Science, Data Science, Data Analytics, Python, Power BI, DataViz, SQL, GenAI, Microsoft, Agile/Scrum	Risk Manager allianz-global-investors (SG) FULL TIME \| JOB LISTED Risk Manager role in AP at Allianz Global Investors involves overseeing investment risk, supporting automation and machine learning projects, with a key differentiator being the emphasis on developing visualization and AI tools. A potential risk includes managing the complexity of diverse asset classes across multiple countries, which could challenge maintaining compliance and risk thresholds. Salary details are not explicitly provided. Generated content Technology used Management AI/ML Computer Science Data Science Data Analytics Python Power BI DataViz SQL GenAI Microsoft Agile/Scrum Listed At 2025-12-24 2025-12-02 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Industry Advisory--Retail @ microsoft SG \| 2025-12-24 The role involves engaging with retail and consumer goods industry executives to promote AI transformation, with a notable differentiator being the requirement for deep industry knowledge combined... read more »	Microsoft, AI/ML, Go, Management, Cloud Computing, Analytics, C, Agile/Scrum, Spark, Computer Science
data scientist Lead Data Scientist (Generative AI) @ globalfoundries SG \| 2025-12-23 GlobalFoundries seeks a Lead Data Scientist to develop and deploy complex machine learning models, emphasizing scalability and stakeholder collaboration. A key differentiator is the focus on... read more »	Analytics, Data Science, AI/ML, Computer Science, R, Python, SAS, SPSS, DataViz, Cloud Computing, Agile/Scrum	Lead Data Scientist (Generative AI) globalfoundries (SG) FULL TIME \| JOB LISTED GlobalFoundries seeks a Lead Data Scientist to develop and deploy complex machine learning models, emphasizing scalability and stakeholder collaboration. A key differentiator is the focus on leading technical teams in a manufacturing context, but there is a risk of working in an environment with ambiguous problems and unstructured data. The role involves strategic partnership with AI startups and requires extensive experience, including in cloud environments and optimization. Generated content Technology used Analytics Data Science AI/ML Computer Science R Python SAS SPSS DataViz Cloud Computing Agile/Scrum Listed At 2025-12-23 2025-11-20 (original listing) Permalink View original posting

Open jobs

Companies looking for

Used together with Agile/Scrum

Additional Resources

Jobs (this month)

Companies with Jobs

Technical Product Manager, Marketplace Intelligence & Data @ shopee

AVP/VP, Data Scientist, AI Alpha Group @ gic

The Fundamentals of Analytics Engineering

Program Manager (Learning and Development) @ amd

Quant Research @ thefalconx

Associate AI Developer/ AI Developer (Full stack) - Artificial Intelligence, SAP Labs Singapore @ sap

Senior CRM Operation Specialist @ binance

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Associate, Securities Operations (Contract) @ gic

Consulting, Cyber Strategy & Governance, Graduate Associate 2026 @ kpmg-singapore

Senior Data Scientist- #AIDA @ singtel

Data Scientist (Gen AI), Manager, Data & AI, Technology Consulting @ ernstandyoung

Risk Manager @ allianz-global-investors

Industry Advisory--Retail @ microsoft

Lead Data Scientist (Generative AI) @ globalfoundries