Total 54 Science / R&D / Research job vacancies in Overseas

The NielsenIQ BASES Practice is a forward-thinking, rapidly growing, market research division of the Nielsen Company. That means we maintain an unbeatable client list, create best-in-class solutions and have access to incredible resources - without sacrificing the benefits of a smaller, leaner, close - knit company. We celebrate curiosity and creativity, and encourage openness and collaboration.  
Through a blend of innovative market research technologies (such as evolutionary algorithms and predictive analytics) and client consulting, we help major consumer products companies dramatically improve their outcomes at every stage of the innovation lifecycle. We identify breakthrough product ideas, messaging that inspire action, fresh package designs and optimal launch strategies. 
We are looking for someone to develop and manage Nielsen BASES business and client relationships by designing, selling, executing, and presenting market research studies to meet clients’ research objectives, and are building a talent pipeline for the same. 

RESPONSIBILITIES:

Client Consulting:

1. Trusted partner: Understand the client needs, deliver with excellence, make an impact

2. Drive client satisfaction by providing insights and actionable recommendations during presentations or business reviews

3. Attend client planning meetings and contribute by providing Nielsen insights and solutions to the client’s business needs.

3. Communication with mid-level clients on their research queries

4. Able to handle presentations with mid level clients or audiences

5. Crisis management: Able to tackle some of the client communication, particularly with mid-level clients.  

6. Taking ownership of project in terms of client relation as well as consulting / partnering with client through the project life cycle  

7. Ensure all presentations done by reports tell a clear story, provide insights and actionable recommendations  
 
Commercial Leadership:

1. Be proactive at collecting client business questions, active listening to understand the question behind the question  

2. Proactively follow-up with the client on proposals, designs, costs

3. Set up action plan, forecast and monitor regularly the revenue   

Project Management:

1. Proactively identify and address client issues and needs.  

2. Stays in loop on all stages of project management and monitors progress  

3. Ensure the services provided to clients are timely and precise according to client business needs and specifications while meeting the company's quality standards  
 
Thought Leadership- Integration:

1. Strengthen category / client knowledge  

2. Develops strategic understanding of industry trends, competition and opportunities of Nielsen  

3. Make an impact for the team / client  
 
A LITTLE BIT ABOUT YOU 
With your critical and strategic thinking abilities, you can create opportunities to better our business. You approach challenges from new angles, discovering unique solutions that are efficient and effective. Intellectual curiosity and persistence to find answers to questions and Ability to autonomously manage simultaneous projects in a fast paced business environment. Exceptional aptitude for data analysis. Ability to work cross-functionally. Strong presentation skills. 

Job Description:
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. 

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. 

What a Data Scientist, VCA does at Visa:
We are looking for a Data Scientist to join our VCA team in Malaysia. This role requires transforming raw data into actionable insights that drive business strategies, improve execution and performance of the full cardholder lifecycle. 

The ideal candidate will work closely with Visa’s clients to gather and manage project inputs, analyze data to form conclusions and recommendations, execute and analyze results to improve outcomes. 

Key Responsibilities:

• Lead, execute, and deliver data science projects for Visa's key clients. 
• Develop project scopes, methodologies, and implement solutions using appropriate tools. 
• Understand the Client’s current initiatives and priorities and align with key stakeholders.
• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. 
• Gather and analyze data from VisaNet (i.e., Visa’s transaction data), client’s owned data and 3rd party data sources to understand customer behavior, preferences and trends to help business develop business strategies, optimization activities and improvement of products, marketing techniques. 
• Maintain quality control and documentation for projects. 
• Innovate with Visa's and client data to meet needs. 
• Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact. 
• Independently develop and articulate a compelling storyline with clear insights and actionable recommendations for clients. 
• Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients. 
• Structure documents and project deliverables leveraging data insights and client inputs. 
• Foster thought leadership and innovation in data science. 
• Manage communication with clients and stakeholders. 
• Identify opportunities for innovation using new techniques. 
• Build visualization capabilities to address client problems. 
• Identify market trends through deep analysis of payment industry information. 
• Manage the transfer of technical knowledge for business solution implementation. 

Client Management: 

• Manage and take ownership of all data-related client deliverables and discussions 
• Navigating complex team dynamics 
• Work independently, seeking guidance as needed while ensuring ownership 
• Influence multiple teams they work with or lead

*This is a hybrid position, expectation of days in the office will be confirmed by your Hiring Manager. 

Job Summary

We are seeking a highly skilled Financial Data Analyst with strong experience in Life & Annuity actuarial functions. The ideal candidate will bring deep expertise in financial data analytics, asset modeling, and programming (Python), along with a solid understanding of insurance and investment principles. This role will support actuarial modeling, financial reporting, and strategic decision-making through data-driven insights.

Key Responsibilities

• Analyze large and complex financial datasets related to life and annuity products to support actuarial valuations and reporting.

• Develop, maintain, and optimize data pipelines and analytical models using Python.

• Perform asset modeling and support Asset-Liability Management (ALM) processes.

• Collaborate with actuarial, finance, and investment teams to deliver actionable insights.

• Support financial forecasting, valuation, and risk analysis for insurance portfolios.

• Automate reporting processes and improve efficiency in data handling and analysis.

• Ensure data quality, integrity, and compliance with regulatory and internal standards.

• Assist in the development and validation of actuarial and financial models.

• Interpret and communicate analytical results to stakeholders in a clear and concise manner.

Required Qualifications & Experience

• Bachelor’s or master’s degree in actuarial science, Finance, Statistics, Mathematics, or a related field.

• 7+ years of experience in financial data analytics, preferably within life insurance or annuity domains.

• Strong hands-on expertise in Python (Pandas, NumPy, data visualization libraries).

• Proven experience in financial data analysis and reporting.

• Experience with asset modeling and/or Asset-Liability Management (ALM).

• Solid understanding of actuarial concepts in life and annuity products.

Preferred Skills

• Knowledge of insurance investment strategies and financial instruments.

• Experience working with actuarial modeling tools (e.g., Prophet, AXIS, MG-ALFA, or similar).

• Familiarity with regulatory frameworks (e.g., IFRS 17, Solvency II, US GAAP).

• Strong SQL and database management skills.

• Experience with data visualization tools (e.g., Power BI, Tableau).

• Actuarial exams progress or certification (preferred but not mandatory).

Key Competencies

• Strong analytical and problem-solving skills.

• Attention to detail and data accuracy.

• Effective communication and stakeholder management.

• Ability to work collaboratively in cross-functional teams.

• Proactive mindset with a focus on continuous improvement.

Role Overview

This role is not about running tests. It is about understanding what the data means, why it behaves that way, and how to measure it better. You will work at the intersection of physics, electronics, and software, developing measurement solutions and extracting insight from complex data to support MEMS sensor development and production. This role is for you if you are comfortable writing code, interpreting data, and critically questioning measurement results.

Key Responsibilities

Characterization & Data Analysis

• Analyze large, datasets from MEMS characterisation and production
• Identify correlations, drifts, and non-obvious effects across multiple parameters
• Separate real physical effects from measurement artefacts
• Develop automated analysis workflows (Python / C# / similar)

Measurement Technology Development

• Design, build, and improve lab measurement setups (electrical, thermal, mechanical domains)
• Define measurement strategies for new product concepts and production methods
• Debug and extend internally developed measurement software (C++ / C#)
• Improve measurement robustness, repeatability, and throughput

Root Cause & Physical Understanding

• Drive root-cause analysis using data, experiments, and physical reasoning
• Work closely with product and process engineers to explain observed behavior
• Challenge unclear or inconsistent results

Method Validation & Lab Enablement

• Validate new test methods before production introduction
• Define limitations, accuracy, and uncertainty of measurement methods
• Document and standardize solutions for cross-site usage

Collaboration

• Work across disciplines: device physics, electronics, software, and production
• Collaborate with international teams and contribute to global MT alignment

We are looking for a highly analytical and dynamic Equity Derivatives Research Analyst who combines strong market knowledge with excellent communication skills. In addition to research, this role involves engaging with external stakeholders, representing the company at events, and collaborating with Key Partners in the trading ecosystem.

Key Responsibilities

● Conduct in-depth research on Crypto derivatives markets, including options and futures

● Generate trade ideas and strategies (e.g., spreads, straddles, hedging strategies)

● Analyse market trends, volatility surfaces, and macro factors impacting derivatives pricing

● Prepare daily/weekly research reports and market commentary

● Engage in conversations with Key Partners, traders, and industry experts to build insights and partnerships

● Represent Delta Exchange at industry events, conferences, and meetups

● Be open to frequent travel for events, client meetings, and ecosystem engagement

● Collaborate with marketing and growth teams for content creation, webinars, and community engagement

● Support clients/internal teams with data-driven insights and strategy explanations

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or related field

• Strong understanding of derivatives (Options, Futures, Greeks, volatility concepts)

• Experience with Python, R, or similar analytical tools

• Strong written and verbal communication and interpersonal skills, with the ability to engage external stakeholders

• Willingness to travel and represent the company externally

• Strong analytical thinking and problem-solving skills

Preferred Qualifications

• Experience in a trading desk, hedge fund, brokerage, or fintech/crypto environment
• Good to have experience engaging with trading communities or influencers
• Familiarity with content creation (blogs, webinars, social media insights)
• Certifications such as CFA, FRM, or NISM (India) are a plus

Key Skills

● Options Pricing & Greeks

● Volatility Modeling

● Quantitative Research

● Financial Modeling

● Stakeholder Engagement

● Public Speaking & Communication

We are looking for a creative, digitally‑savvy Learning Content Design Specialist to join our Client Training team. This role sits at the intersection of instructional design, content writing, and basic digital learning production, and plays an important role in helping NielsenIQ deliver modern, scalable learning experiences that support both our people and our clients. 

In this role, you will create learning content that translates NielsenIQ’s products, platforms, and ways of working into clear, practical learning for a global audience. You will translate technical subject matter into clear, engaging, action‑oriented learning assets across multiple digital formats, supporting both internal associates and external learners. 

This is an individual contributor role for someone who enjoys hands‑on content creation, and is energized by building learning for the modern, self‑directed learner. 

Key Responsibilities – What you will do: 

• Design and develop high‑quality learning content using sound instructional design principles and adult learning theory to help learners build knowledge and apply new skills 

• Support the development of learning assets across multiple formats, including microlearning, eLearning, virtual instructor‑led training (vILT), videos, job aids, and learning guides 

• Write clear, learner‑centric scripts and storyboards that effectively guide development and production 

• Translate highly technical content into simple, actionable language that supports real‑world application 

• Partner closely with subject matter experts to shape content that meets learner needs while maintaining technical accuracy 

• Collaborate with digital content creators, multimedia specialists, and other learning partners to bring designs to life 

• Contribute to the evolution of NielsenIQ’s learning approach, supporting the shift from instructor‑led to digital, blended, and self‑directed learning experiences 

• Apply stakeholder and learner feedback to continuously improve learning content and experiences 

• Maintain high quality standards for learning deliverables while managing multiple priorities and deadlines 

Job Description – R&D Technician

We are seeking a hands-on and detail-oriented R&D Technician to support process development and material testing activities. This role offers the opportunity to work with advanced equipment while contributing directly to new technology development, product improvement, and process innovation initiatives.

Essential Duties and Responsibilities

• Prepare samples, perform experiments, and conduct material testing in accordance with established standards and procedures

• Support product development, quality, and equipment teams with technical tasks and experimental setups

• Accurately record test results, observations, and process data, and prepare technical reports as required

• Assist engineers during trials, equipment commissioning, and continuous improvement activities

• Maintain a safe, clean, and well-organized laboratory environment in compliance with company safety policies

• Manage inventory and ensure availability of R&D materials required for daily operations

• Collaborate effectively with team members and communicate clearly to ensure smooth workflow and project execution

Roles and responsibilitiesCandidate will be working as an equity research analyst (for sell-side or buy-side equity clients) and is expected to manage his/her work independently with end-to-end ownership of client projects. Work types will include—Preparing/updating financial models for coverage companies and conducting valuation (using DCF, Relative Valuation, SoTP, etc.) Contributing to various reports for coverage sector–earnings notes, investment teasers, initiating coverage notes, sector notes, thematic notesIssuing timely updates on company events/sector events/trend-changing events and gauging the impact on valuation/recommendation of stocksMaintaining sector-specific databases and periodicalsPreparing custom financial dashboards and screeners based on appropriate financial and operating metrics Supporting the client on ad-hoc research tasks relating to companies, sectors or themes Manage client communication independently including one-to-one client communication, contributing to morning meetings and dealing with the sales team of clientsShould be able to contribute to certain product/process development exercises for the clientContribute/work on important pilot projects Create IPs/white papers/blogs/articles/teasers which can be used for marketing purposesIdeal Candidate 5-8 years of experience in financial and/or investment research in a KPO or advisory firmSolid experience in financial modelling, forecasting, valuations, writing investment researchStrong grasp of financial concepts and their applications across equity research Suitable understanding of capital markets and macroeconomic trends Experience in end-to-end execution of projects and communication with clientsKnowledge of various databases such as Bloomberg, Thomson Eikon, DataStream, Capital IQ Excellent secondary research skills