79 Spatial Data Analysis jobs in Singapore
Data Science
Posted today
Job Viewed
Job Description
Type:
Internship (with fast-track to full-time if you crush it)
At FlocCare, we’re building a GenAI platform that makes health information accessible and personal —for a billion lives. To power that, we need structured, contextual, vectorized data. This role isfor someone who loves data, thinks in embeddings, and knows how to ship fast with modern tools.
What You’ll Do
Source, structure, and format messy data
from web, APIs, PDFs, or raw text.
Vectorize text
using transformer models (e.g. BERT, Sentence Transformers).
Work with
embedding stores
and retrieval tools like Pinecone or FAISS.
Test, evaluate, and fine-tune
existing models (LLMs, classifiers, RAG pipelines).
Set up quick workflows using
no-code/low-code AI builders
like
Flowise, Appify,LangChaintemplates,
etc.
Write clean, reusable scripts for data cleaning, chunking, tagging, and ingestion.
Create solid
documentation
of workflows, datasets, and model outputs.
Are a
CS, Data Science, or AI/ML
student or recent grad with real projects under yourbelt.
Have experience with
Python, Pandas, NumPy, Hugging Face, and scikit-learn .
Understand
NLP basics , embeddings, and data pipelines.
Are
comfortable figuring things out on your own
and pushing to production fast.
Are
curious about new tools
(Appify, Flowise, LangChain, RAG frameworks) and learn fast.
Have ranked or won in
hackathons, ML challenges, Kaggle, or buildathons .
Have worked with
retrieval-augmented generation (RAG)
or LLMOps stacks.
Know how to deploy a quick demo or MVP without overengineering.
Can build scrappy first versions fast — and iterate from user feedback.
Work on
high-impact GenAI systems
in real healthcare environments.
Collaborate across borders: SG, UAE, US, and India.
Build portfolio-worthy projects that go
beyond notebooks .
Internship → full-time fast-track
based on execution and ownership.
Send us your resume, GitHub/portfolio, and a short note on what you’ve built or shipped recently
#J-18808-Ljbffr
Manager - Data Science
Posted 6 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Functional Description**
Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers' digital experiences.
This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.
**Responsibilities:**
+ Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
+ Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
+ Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
+ Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
+ Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer's online and mobile app experiences.
+ Work with product owners to revolutionize the product and content design with a data-driven approach
+ Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
+ Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
+ Lead, engage, and inspire a large team of high performing risk management professionals
**Qualifications:**
+ PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
+ Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
+ Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
+ Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
+ Ability to work effectively in a team environment
+ Independent thinker who's organized, has great attention to detail, and can multi-task
+ Strong communication skills
+ Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
+ Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
+ Ability to learn quickly and work independently with sophisticated, unstructured initiatives
+ Ability to integrate with cross-functional business partners worldwide
+ Proficient in presentation tools, including Excel and PowerPoint
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:**
Manager - Data Science
Posted 6 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.
**Role Overview:**
As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.
**Key Responsibilities:**
+ Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
+ Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
+ Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
+ Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
+ Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.
**Qualifications:**
+ Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
+ Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
+ Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
+ Solid understanding of Large Language Models and practical experience with Generative AI
+ Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
+ Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
+ Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:**
Data Science Consultant
Posted 6 days ago
Job Viewed
Job Description
In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We're developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What's more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.
Join us to do the best work of your career and make a profound social impact as a **Data Scientist** on our **Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures** Team in the **Singapore Design Center** .
**What you'll achieve**
As a **Data Scientist** , on the **CSG CTO Advanced Architectures** team, you'll gain applied data science experience, leveraging established university and industry contacts, working on a team of data scientists and engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, and working with a team of data scientists, and ML, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.
**You Will:**
+ Collaborate with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integration
+ Work across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems
+ Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
+ Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
+ Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions
**Requirements**
+ Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 8 years, MS + 5 years, Ph.D. + 2 years minimum
+ Solid experience developing for Microsoft (MS) Windows OSto include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOS
+ Progressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
+ Solid communicator with the ability to explain difficult analytical methods to technical and business stakeholders
+ Experience working in software development or other cross-functional teams, with strong mentorship, and coaching skills
**Desirable skills**
+ Experience working with cloud-based applications in Azure as well as leading small teams
+ Familiarity with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT) as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
**Application closing date: 30-November-2025**
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
Data Science - AVP
Posted today
Job Viewed
Job Description
Overview
Get AI-powered advice on this job and more exclusive features.
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. By taking the time to truly understand people, we provide support, services, solutions, and career paths that meet their needs and desires. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation. Our strategic ambition is to be Asia’s leading financial services partner for a sustainable future. Your opportunity starts here.
Data Scientist
Why Join
Imagine being part of a team that uses data to drive business decisions and create a competitive edge for OCBC. You’ll work with large datasets, develop predictive models, and provide insights that inform strategic decision-making. You’ll be part of a team that’s passionate about using data to make a difference.
How you succeed
To succeed in this role, you’ll extract insights from complex data sets, communicate findings effectively to stakeholders, and work collaboratively with cross-functional teams. You’ll stay up-to-date with the latest developments in data science and machine learning, and apply these skills to drive business outcomes.
What you do
Develop and deploy predictive models to drive business decisions
Analyze large datasets to identify trends and patterns
Collaborate with stakeholders to understand business needs and develop solutions
Design and implement data visualizations to communicate insights
Stay up-to-date with the latest developments in data science and machine learning
Who you are
A degree in Computer Science, Statistics, or a related field
3+ years of experience in data science or a related field
Strong programming skills in languages such as Python, R, or SQL
Experience with machine learning algorithms and data modeling techniques
Excellent communication and collaboration skills
What we offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are cared for as much as the needs of our customers.
Other related roles
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Banking
#J-18808-Ljbffr
Data Science Analyst
Posted today
Job Viewed
Job Description
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
Seniority level: Mid-Senior level. Employment type: Full-time. Job function: Engineering and Information Technology. Industries: IT Services and IT Consulting.
Main Responsibilities
Gather business requirements from business users
Develop front end mock-ups and document functional requirements to validate business requirements with stakeholders
Collect, cleanse, process and analyse data (company and market data)
Build models to solve real-world problems in data science (anomaly detection, deep learning, machine-learning, time-series, generative AI projects)
Build models for operational research (network optimization, shortest path for maritime road)
Collaborate with Data Scientist and Solution Delivery teams to conceptualize end-to-end IT solution, and ensure POC/MVP projects are executed successfully
Perform testing and facilitate user acceptance testing with business
Proactive regular communications and status updates to project leads and business stakeholders
Apply passion in data science, adaptability, interpersonal skills, and a diagnostic approach to tackle challenges
Minimum Requirements
Bachelor's degree in Data Science, Computer Science or a related field
At least 2 years of experience in data analysis roles, preferably in a large organization, bridging the gap between IT and business teams
Proficiency in data science programming languages including Python and SQL
Good experience in machine learning concepts and libraries, and front-end development; familiarity with data visualization tools is an advantage
Strong analytical and problem-solving abilities, with the capability to identify and address complex business challenges through technology solutions
Good communication skills to present technical findings to non-technical stakeholders
Good interpersonal skills to effectively collaborate with IT and business stakeholders
Ability to adapt to a fast-paced and dynamic environment, managing changing priorities and expectations
Knowledge/experience in the Shipping/logistics industry is advantageous
To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to Your interest will be treated with strict confidentiality.
Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.
#J-18808-Ljbffr
Data Science Consultant
Posted today
Job Viewed
Job Description
Data Science Consultant
In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.
Join us to do the best work of your career and make a profound social impact as a
Data Scientist
on our
Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures
Team in the
Singapore Design Center .
What you’ll achieve
As a
Data Scientist , on the
CSG CTO Advanced Architectures
team, you’ll gain applied data science experience, leveraging established university and industry contacts, working on a team of data scientists and engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, and working with a team of data scientists, and ML, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.
You Will:
Collaborate with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integration
Work across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems
Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions
Requirements
Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 8 years, MS + 5 years, Ph.D. + 2 years minimum
Solid experience developing for Microsoft (MS) Windows OS to include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOS
Progressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
Solid communicator with the ability to explain difficult analytical methods to technical and business stakeholders
Experience working in software development or other cross-functional teams, with strong mentorship, and coaching skills
Desirable skills
Experience working with cloud-based applications in Azure as well as leading small teams
Familiarity with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT)as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 30-July-2025
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
Job ID: R
#J-18808-Ljbffr
Be The First To Know
About the latest Spatial data analysis Jobs in Singapore !
Data Science Consultant
Posted today
Job Viewed
Job Description
Overview
Join to apply for the
Data Science Consultant
role at
Dell Technologies .
In the rapidly moving Artificial Intelligence era, Dell Technologies is developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. We are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience. Join us to do the best work of your career and make a profound social impact as a
Data Scientist
on our
Client Solutions Group (CSG) CTO Advanced Architectures
Team in the
Singapore Design Center .
What You’ll Achieve
As a
Data Scientist , on the
CSG CTO Advanced Architectures
team, you’ll gain applied data science experience, leveraging established university and industry contacts, working on a team of data scientists and engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, and working with a team of data scientists, and ML, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.
You Will
Collaborate with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integration
Work across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems
Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; advocate and execute strategies to adopt data and data science in all business and technical conclusions
Qualifications
Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 8 years, MS + 5 years, Ph.D. + 2 years minimum
Solid experience developing for Microsoft (MS) Windows OS to include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOS
Progressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
Solid communicator with the ability to explain difficult analytical methods to technical and business stakeholders
Experience working in software development or other cross-functional teams, with strong mentorship, and coaching skills
Desirable Skills
Experience working with cloud-based applications in Azure as well as leading small teams
Familiarity with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT) as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software
Who We Are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 30-July-2025
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
Job ID:
R
#J-18808-Ljbffr
Analyst, Data Science
Posted today
Job Viewed
Job Description
Job Description
Assist in understanding research or operational goals & support translation into analytical tasks
Gather & understand data from various sources, including surveys, databases, and online resources, to support research objectives.
Support data preparation (e.g. cleaning, wrangling, labelling) using appropriate tools & programming languages (i.e. Python / R) under supervision
Create simple charts or dashboards to identify trends, patterns & insights
Conduct literature review on specific research projects
Assist in write up on methods & analysis for study proposals, publication
Submission of manuscripts & manage rebuttal from external reviewers
Assist and facilitate in Biostatistics workshop
To assist in specific tasks within the Research Department as required.
Job Requirements
Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or other STEM‐related field with at least 1‐2 years of experience, preferably in a healthcare setting
Experience in data management and analytics work, with relevant experience in machine learning project (i.e. clustering/regression/time‐series techniques)
Intermediate‐level skills in platforms/software like R/Python, Tableau
#J-18808-Ljbffr
Analyst, Data Science
Posted today
Job Viewed
Job Description
Job Description
Assist in understanding research or operational goals & support translation into analytical tasks
Gather & understand data from various sources, including surveys, databases, and online resources, to support research objectives.
Support data preparation (e.g. cleaning, wrangling, labelling) using appropriate tools & programming languages (i.e. Python / R) under supervision
Create simple charts or dashboards to identify trends, patterns & insights
Conduct literature review on specific research projects
Assist in write up on methods & analysis for study proposals, publication
Submission of manuscripts & manage rebuttal from external reviewers
Assist and facilitate in Biostatistics workshop
To assist in specific tasks within the Research Department as required.
Job Requirements
Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or other STEM-related field with at least 1-2 years of experience, preferably in healthcare setting
Experience in data management and analytics work, with relevant experience in machine learning project (i.e. clustering/regression/time-series techniques)
Intermediate-level skills in platforms/software like R/Python, Tableau
#J-18808-Ljbffr