10 Lead Researcher jobs in the United Arab Emirates

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.

Overview

Job Objective: As a Research & Development Engineer in the Trucks Division, you will design, develop, and test innovative automotive technologies to enhance vehicle performance, safety, and efficiency. You will contribute to strategic R&D initiatives, collaborate across departments, and ensure the successful implementation of new technologies.

• Review vendor specifications and collaborate with suppliers to ensure components meet design and performance requirements.
• Monitor industry trends, customer needs, and competitors to identify opportunities for innovation.
• Collect, analyze, and organize data to support strategic R&D initiatives and decision making.
• Conduct feasibility studies and supplier comparisons with detailed product information.
• Manage R&D projects, track progress, and ensure deliverables align with schedules.
• Coordinate communication across departments (Production, QA, Design) and suppliers for sourcing, evaluations, and technical updates.
• Work with design engineers to improve components based on test results and performance data.
• Perform and monitor fitment and durability testing under various conditions to validate functionality and reliability.
• Maintain organized records and prepare clear technical reports for stakeholders.

Academic Qualification:

• Bachelor’s degree in Mechanical Engineering or related field.
• Expertise in design development and strategic project planning.
• Knowledge of bid assessment, cost analysis, product approval, and regulatory compliance (homologation).
• Ability to lead teams and coordinate effectively with suppliers and clients.
• Strong analytical, problem-solving, and technical documentation skills.

Experience:

• 1–2 years of experience in vehicle design, development, or automotive R&D.
• Innovative mindset and ability to improve vehicle technologies.
• Strong collaboration and communication skills.
• Attention to detail and ability to work under tight schedules.

Experience: 1 - 3 yrs. | Opening: 1
Education: Bachelor of Technology/Engineering, Any Graduation
Nationality: Any Nationality
Industry Type: Automotive / Automobile / Auto Accessories
Functional Area: R&D / Research & Development Sep 16,2025

Posted Thursday, May 15, 2025 at 6:30 PM

About Us

GRIFFCO Foods results from the strategic partnership between two companies Griffith foods and IFFCO that are purely driven by purpose and over 100 years of a solid family-based culture. It combines Griffith Food’s global reach, innovation expertise and core capabilities with IFFCO’s deep-rooted heritage and outstanding infrastructure in the region.

GRIFFCO Foods is the only food service partner that provides you with expert, sustainable food solutions with extreme agility for businesses that desire insight oriented, culinary inspired innovation across the GCC, the Levant region, Egypt and Pakistan because they need the support of a global agile product development partner to keep them future ready in an era of fast changing trends and preferences.

Our Purpose At GRIFFCO Foods our purpose defines who we are, what we do, and why we exist, highlighting what makes us distinct and authentic in the marketplace. GRIFFCO Foods exists to collaboratively create best-in-class sustainable products and solutions that are globally local, harnessing centuries of product development expertise with the speed, agility, and precision required to deliver future-ready innovation

Join Our Family When you join GRIFFCO Foods, you are not only joining our family, you are joining a community of change-makers. At GRIFFCO Foods, you are encouraged and empowered to make meaningful contributions and discover innovative solutions.

GRIFFCO Foods does not discriminate against qualified employees or applicant because of the following actual or perceived characteristic: race, colour, religion, gender identity, age national origin, physical and mental disability. Equal opportunity will be extended to all persons in all aspects of the employer-employee relationship, including recruitment, hiring, participation in benefits programs, trainings, promotion, transfer, layoff, recall and termination.

Major Duties &Responsibilities:

• Responsible for the development of the product pipeline with current and future customers, understanding their needs and challenges creating solutions that drive mutual value.
• Grow and transform the product portfolio meeting nutrition and sustainability criteria
• ‘Hands on’ development of products with customers.
• Build a fully engaged local R&D team with standalone, fit for Purpose Food science and R&D capabilities incl but not exclusive to raw materials, culinary center and pilot scale assets.
• Unlock value through our existing regional and global portfolio of products (lifting and launching.)
• Support the end to end creation of value streams in the key markets
• Build and leverage a strong network of partners across the specified region and globe, utilizing Griffith Foods internal networks, existing external partners and creating new ones in an ecosystem approach.
• Understand the regulatory constraints and engage with internal and external partners to manage compliance.
• Support the set-up of manufacturing and co-manufacturing in the selected countries

Problem Solving/Decision Making:

• Working in a highly ambiguous environment, creative problem solver, capable of navigating complex challenges.
• Works with independence, exercising ingenuity and judgement in the approach to and accomplishment of tasks.

Knowledge and Experience:

• Minimum Degree in Food Science/Technology, Chemistry or similar.
• Proven management and leadership experience at senior level.
• Language: English is a must
• Experience in technical development of savoury products, including protein and snacks.
• Experience of working in country and internationally.
• Current awareness of local and global flavour trends, culinary trends, and new technology in food applications;
• People Leadership and team development, remote Line management would be a benefit.
• Excellent communication and relationship building skills
• A creative problem solver across the value chain (from raw materials to customer scale up)
• End to end product leadership, from culinary through to scale up (manufacture).
• High level learning agility
• Drive for results
• Dealing with ambiguity.
• Business acumen
• Ideally with B to B or food service experience.
• Priority setting
• Project management
• Benchtop development, with an eagerness and proven ability to be hands on.

EQUAL EMPLOYMENT OPPORTUNITY

Griffith Foods believes that all persons are entitled to equal employment opportunity. Griffith Foods does not discriminate against qualified employees or applicants because of the following actual or perceived characteristics: race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, breastfeeding or related medical condition, national origin, ancestry, citizenship, age, physical or mental disability, genetic characteristic or information, AIDS or HIV status, order of protection status, marital status, military or veteran status, unfavorable discharge from military service, or any other status protected by federal, state, or local law. Equal employment opportunity will be extended to all persons in all aspect of the employer-employee relationship, including recruitment, hiring, participation in benefit programs, training, promotion, transfer, discipline, layoff, recall, and termination.

In carrying out our commitment to equal employment opportunity, Griffith Foods will make reasonable accommodations for applicants and employees with known disabilities unless doing so would result in an undue hardship, safety, and/or health risk. Applicants and employees requiring reasonable accommodations must notify Human Resources.

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

• You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

• M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
• Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
• Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
• Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
• Familiarity with software engineering best practices (version control, documentation, etc).

• 3 year PhD student and above.
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
• Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
• Hands-on experience working at the intersection of AI and Biology.
• Experience in large-scale distributed training and inference.
• Open-source contributions, especially if used by others.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Overview

New York University in Abu Dhabi, through its NYU Abu Dhabi Institute, seeks to be a world-class center of cutting-edge research, scholarship, and cultural activity. The institute offers outstanding facilities; research funding at a significant level and with exceptional continuity of support; and a vigorous, cohesive, and interactive intellectual environment. Further details about the institute are found at nyuad.nyu.edu/institute/. The research group at the Centre for Sea Level Change (CSLC) works in various areas of sea-level change science ranging from meteorological, oceanographic, and glaciological observations, both in situ and remote sensing, as well as component and coupled models of the atmosphere, ocean, and glacier system. For details, see nyuad.nyu.edu/en/research/nyuad-institute/institute-research/cslc.html.

The CSLC is looking to hire a researcher with expertise in glacier and ice shelf modelling. The scientist will work with others in a team to characterize Antarctic glaciers and assess their instability. The incumbent will perform research on the dynamics of Antarctic glaciers and the effect of ocean and atmosphere on their motion and instability. The work involves, in addition to modelling, the development of diagnostics using satellite and ground-based observational datasets and the possibility to join field campaigns in Arctic and Antarctic.

• Conducting and analyzing experiments on glacier dynamic processes using a glacier model, satellite observations and ground-based observations to assess their instability.
• Developing diagnostics of the physical processes involved in the interactions between glaciers, ice shelves, ocean, sea ice and atmosphere, based on observational and numerical datasets.
• Conduct scientific studies, publish results in peer-reviewed journals and communicate about them in international conferences.

• Good interpersonal and communication skills
• Excellent analytical and problem-solving skills with a proactive approach
• Dedication and enthusiasm to work in a team
• Ability to work efficiently and complete diverse tasks in a timely manner

Education

A PhD degree in oceanography, glaciology or a related discipline.

Experience

Experience with numerical models.

Experience in analyzing large geophysical datasets.

Experience with high-performance computing environments and scientific codes.

Familiarity with glacial modeling software (e.g., ELMER ICE) is an advantage.

Knowledge and skills

Very good programming and scripting skills are expected.

Good understanding of physical processes involved in the interaction between the atmosphere, sea ice, the ocean and land ice is essential.

Language

Candidates must be able to work effectively in English and interviews will be conducted in English.

To be considered, candidates should submit Curriculum Vitae (including the list of their peer-reviewed publications) and the names of three professional references, all in PDF format by email to Dr. Diana FRANCIS ( ) with Prof. David Holland ( ) and Denise Holland ( ) in copy.

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NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering. The successful applicant will drive an exciting project on developing functional membrane materials, including nanostructured polymer membranes tailored to microfiltration, ultrafiltration, membrane distillation, nanofiltration and reverse osmosis. The candidate will employ advanced membrane fabrication techniques and characterization tools (SEM, TEM, DSC, TGA, BET, etc.) to establish fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students. The successful applicant will manage projects and work closely with postdoctoral researchers, build deep technical knowledge and develop transferable solutions. He/she will participate in developing novel concepts and writing proposals. He/she will work towards solving complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will have a demonstrated knowledge of materials science and engineering, membrane fabrication techniques, membrane characterization tools and separation processes. He/she will be detail-oriented, well-organized and will possess excellent verbal and written communication skills. The successful candidate should be able to work independently and as part of a team. Applicants must hold a PhD in Materials Science and Engineering, Polymer Chemistry, Chemical Engineering, or a related field, and have a minimum of five years? experience as a Postdoctoral Research Associate . Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and characterization) are required. Candidates with demonstrated history of peer reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred. This position will begin in March 2026 as a two-year contract, renewable depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a one-page summary of research accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at for instructions and information on how to apply. If you have any questions, please email: . About NYUAD:
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU?s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

For people in the EU, click here for information on your privacy rights under GDPR:

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more atnyu.edu/sustainability

WIF 2023 Academic Research Conference on Investment in Sustainable Development

As a unique international policy and research hub, UNCTAD is delighted to announce the Academic Research Conference on Investment in Sustainable Development at WIF 2023, organized in partnership with the IHEID Centre for Finance and Development, UNU-WIDER, CEPR and NYU Abu Dhabi. To be held in Abu Dhabi, United Arab Emirates, on 16–17 October 2023 during the World Investment Forum 2023 (16–18 October 2023).

The WIF 2023 Academic Research Conference aims to provide a platform for discussions, as well as to integrate research and ideas from leading scholars, researchers, executives from global companies and senior policymakers.

The conference will consist of several thematic sessions over 2 days, a high-level opening session, and a forward-looking closing panel. Leading scholars will run the discussions in core sessions of the WIF, with the objective of creating synergies between academics, and the multi- stakeholder community.

We welcome applications from economists, finance experts, political scientists, international business scholars working on theoretical and empirical areas related to the topic of 'Investment in Sustainable Development'. Work on a wide range of investment and development-related topics is welcome. These include, but are not limited to:

• Investment in the energy transition
• Debt and climate change
• FDI and women empowerment
• Investment and food security
• Inequality and growth

Contributions from emerging scholars who are underrepresented in these fields are highly encouraged. Selected funding (for travel) for scholars without other sources of funding will be possibly available.

Since the first WIF in 2008, the World Investment Forum has become the largest global platform for high-level dialogue and action on investment for development and now encompasses more than 100 events on topics spanning the full sustainable investment value chain, from green finance in capital markets to on-the-ground investment facilitation. The last WIF held in 2021 which gathered more than 8,000 participants from 177 countries, also featured a multifaceted academic track. The 2021 edition provided a platform for active interaction among key stakeholders including senior policymakers, academics, CEOs of global companies, heads of investment promotion agencies, and representatives of civil society.

Geneva Graduate Institute’s Centre for Finance and Development