senior data engineer Jobs in United Arab Emirates

senior data engineer

data engineer Jobs in United Arab Emirates

data engineer

senior data analyst Jobs in United Arab Emirates

senior data analyst

senior data scientist Jobs in United Arab Emirates

senior data scientist

data analyst Jobs in United Arab Emirates

data analyst

data scientist

General Reinsurance AG

<div>Shape Your Future With Us
General Re Corporation, a subsidiary of Berkshire Hathaway Inc. is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re.
Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 36 offices, we have earned superior financial strength ratings from each of the major rating agencies. We value diversity, equality and inclusion and promote a culture that supports professional and personal growth.
For our Unit Life Europe, LatAm &amp; MENA, we are seeking a Data Scientist &amp; Analytics Specialist for a permanent position based at our Dubai office, with a start date as soon as possible.
If you have 2&ndash;3 years of experience and want to grow your career in a global, data‑driven reinsurance environment, this role gives you exposure to underwriting analytics, pricing models, portfolio insights, and risk evaluation. 
 
You&rsquo;ll work closely with underwriting and actuarial teams to turn complex datasets into meaningful insights that support smarter risk decisions.
Your Role<ul><li>
 Understand the insurance and reinsurance value chain to systematically identify opportunities for efficiency gains and process optimization.</li><li>
Support underwriting and reinsurance teams through data-driven insights, enhancing pricing models, and risk analytics through AI and ML models.</li><li>
Translate strategic objectives into data science roadmaps, defining success metrics, KPIs, and validation frameworks.</li><li>
Apply advanced AI and ML modelling techniques to identify risk drivers, optimize selection, and improve portfolio performance and processes.</li><li>
Utilize internal and external data sources to generate market and competitor insights supporting strategic decisions.</li><li>
Collaborate cross-functionally to prototype, test, and scale new data-driven solutions.</li><li>
Drive innovation through advanced analytics, machine learning, and AI applications to support new product development.</li><li>
Share knowledge, best practices, and reusable tools to elevate team and organizational capability.</li></ul>
Your Profile<ul><li>
 2 - 3 years of relevant experience in data science, advanced analytics, or machine learning roles &ndash; preferable in insurance or reinsurance entities</li><li>
Bachelor&rsquo;s degree in quantitative discipline such as Actuarial Science, Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.</li><li>
Professional certifications in data science, machine learning, cloud platforms (Azure/AWS/GCP), or actuarial qualifications are advantageous</li><li>
Experience working in cloud-based ecosystems (e.g., Azure, AWS, GCP, Databricks, etc.) and handling large, complex datasets.</li><li>
Experience leading analytical projects or workstreams, managing multiple stakeholders, and delivering tight timelines</li><li>
Advanced proficiency in Python, R, SQL, AI tools (copilot, Claude, OpenAI, and others)</li><li>
Excellent communication and stakeholder management skills</li><li>
Creative, collaborative, and solutions oriented</li><li>
Fluent in Arabic and English; additional languages such as French are an advantage</li></ul>
We offer you<ul><li>
An international and highly professional working environment</li><li>
Work on complex, high-impact portfolios in a global reinsurance environment</li><li>
A positive working environment with flat hierarchies and a friendly, cooperative corporate culture</li></ul>

Does this sound exciting?
 
If you want to shape your future with us, we look forward to receiving your complete application including your salary expectations and the earliest starting date.
Contact 
Anna Lamm, Tel. +49 221 9738 948</div>

Data Scientist and Analytics Specialist

Three Dimension Physical Performance

<div><div>Job Summary:</div><div>
We are currently hiring a highly skilled and experienced Sport Scientist &amp; Data Analyst to join our dynamic team at 3Dimensions. If you're passionate about optimizing athletic performance through science and data, we want to hear from you! 
 
Key Responsibilities:</div><ul><li>
He will oversee and optimize fitness programs and lead the integration of scientific principles into training protocols.</li><li>
Supervise a team of trainers and provide strategic insights to enhance overall fitness outcomes.</li></ul><div> 

Requirements:</div><ul><li>
Education: Bachelor's in Sports Science, Exercise Physiology, or a related field. MSC preferred.</li><li>
Certification: Certified as a sport scientist and trainer in the candidate's home country, with additional certifications in data analysis preferred.</li><li>
Minimum 2-4 years of experience in a fitness or sports training environment, with significant experience in a senior or supervisory role.</li></ul></div><div></div>

Sports Scientist and Data Analyst

Cerebras Systems

<div><div><h2 class="jobSectionHeader">Location</h2>
UAE
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Department</h2>
Software</div></div>
 <div><div>Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
 
 
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
 
 
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives.
We are looking for experienced AI Scientists who are passionate about the &quot;applied&quot; side of machine learning - those who enjoy not just reading papers, but implementing, training, and scaling models to solve complex business and scientific problems. You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for specific industry verticals, to designing and building components for custom agentic systems.
The ideal candidate has experience in large model training and/or post-training, a deep understanding of training dynamics and model convergence, and expertise in data curation, combined with strong communication skills.
Key Responsibilities
<ul><li>Customer Use Case Discovery &amp; Project Scoping
<ul><li>Collaborate with customer stakeholders to identify the best approaches to their business problem with AI.
</li><li>Contribute to the technical scoping of engagements, including feasibility analysis, data quality/availability/readiness assessments, and the selection of optimal model architectures.
</li><li>Define project milestones, success metrics, and rigorous evaluation benchmarks to ensure the solution delivers measurable value to the customer&rsquo;s business.
</li></ul></li><li>Custom SOTA Models and AI Systems Development
<ul><li>Architect and execute end-to-end training recipes for custom models, tailoring model architecture and training recipes to meet customer-specific performance and accuracy requirements.
</li><li>Design and implement sophisticated adaptation strategies, including continuous pre-training on private datasets, supervised fine-tuning (SFT), and post-training alignment via RLHF or DPO.
</li><li>Take full ownership of the training pipeline, from high-performance data preprocessing and tokenization to hyperparameter tuning and loss-curve analysis.
</li><li>Navigate the nuances of model convergence on specialized hardware, performing deep-dive analysis into loss dynamics and gradient stability.
</li><li>Scale training workloads across Cerebras clusters, ensuring efficient utilization of the hardware for multi-billion parameter models.
</li><li>Build and optimize the core components of agentic systems, focusing on tool-use capabilities, long-context reasoning, and multi-step planning.
</li></ul></li><li>Technical Customer Leadership
<ul><li>Serve as an AI/ML subject matter expert during technical deep-dives, translating customer requirements into precise training recipes.
</li><li>Build and maintain strong customer relationships to become their go-to AI/ML expert.
</li></ul></li><li>Internal Research and Engineering Collaboration
<ul><li>Act as the &quot;voice of the customer&quot; for internal R&amp;D and engineering teams to drive improvements in our software stack and hardware utilization.
</li><li>Partner with internal ML teams and product teams on prioritization of novel model architectures with Cerebras software stack, development of training recipes and internal case studies.
</li><li>Distill customer-facing successful projects into internal playbooks, helping scale the FieldML team&rsquo;s ability to deliver specialized models.
</li></ul></li></ul>Skills And Qualifications
<ul><li>Education: Master&rsquo;s or PhD in Computer Science, Machine Learning, or related fields.
</li><li>Broad Deep Learning Expertise: Expert-level understanding of modern model architectures, including dense transformers, MoEs, multimodal and sequence models, scaling laws and training dynamics.
</li><li>Hands-on Trainig Experience: Proven track record of training and/or fine-tuning large models (1B+ parameters) and direct experience with the challenges of large-scale model training.
</li><li>Engineering Proficiency: Mastery of Python and PyTorch, experience with distributed training frameworks and large-scale distributed data processing pipelines and tools.
</li><li>Strong Interpersonal and Communication Skills: Effective in collaborative and fast-paced team settings, able to work autonomously and within a team in a dynamic environment, managing multiple projects and pivoting as customer needs evolve. Able to present complex technical results to diverse audience - from C-level executives to research scientists, and to work collaboratively to solve customers&rsquo; unique challenges.
</li></ul>Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we&rsquo;ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
<div><ul><li>Build a breakthrough AI platform beyond the constraints of the GPU.
</li></ul><ul><li>Publish and open source their cutting-edge AI research.
</li></ul><ul><li>Work on one of the fastest AI supercomputers in the world.
</li></ul><ul><li>Enjoy job stability with startup vitality.
</li></ul><ul><li>Our simple, non-corporate work culture that respects individual beliefs.</li></ul></div> 

Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.</div></div>

Applied AI/ML Scientist

New York University Abu Dhabi

<div>
 The research group of Prof. Ingyin Zaw at New York University Abu Dhabi (NYUAD) is seeking to add a Research Scientist in Extragalactic Astronomy to study the impact Active Galactic Nuclei (AGN) have on their host galaxies. Applicants with a background analyzing and interpreting astrophysical data, in particular the statistical analysis of data obtained by large surveys, are encouraged to apply. Terms of employment include competitive salary and benefits.
 
 
 Research in the Prof. Zaw&rsquo;s group focuses AGN activity and feedback which are critical components of current theories of galaxy evolution. Project include collaborations with researchers in Physics program and Center for Astrophysics and Space Science (CASS) at NYU Abu Dhabi, as well as researchers at the Center for Cosmology and Particle Physics (CCPP) at NYU New York. Researchers are NYUAD have access to numerous high performance computing facilities, as well as access to sponsored time on several observing facilitates.
 
 
 Responsibilities of the position include using advanced statistical and Machine Learning techniques to study AGN properties, galaxy properties, and the relationships between them in large samples of galaxies, as well as participating in other research activities of the group.
 
 
 Candidates must hold a Ph.D. degree, or equivalent, in Physics, Astronomy, Astrophysics or related field, and at least 6 years of research experience (Excluding the years taken to complete their PhD). The ideal candidate will have extensive experience analyzing and interpreting astrophysical data &ndash; especially that obtained from larger surveys, and strong computational skills. We are particularly interested in candidates with experience and interest in using advanced statistical / machine learning techniques to study the correlation between variables.
 
 
 Applications will be accepted immediately. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, research statement, and at least 2 contact references, all in PDF format.
 
 
 Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Ingyin Zaw email: iz6@nyu.edu.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Research Scientist in the Division of Science (Physics) - Dr. Ingyin Zaw

International Center for Biosaline Agriculture (ICBA)

<div>
 
 
 Job Summary
 
 
 
 ICBA is looking for a dynamic and results oriented Scientist &ndash; Integrated crop livestock systems , who will be a member of the Crop Diversification and Genetics (CDG) section and a team member of the Directorate of Program, leading integrated crop, forage, livestock and farming systems related research and development activities and projects across the directorate's two sections, CDG and Sustainable Natural Resources Management (SNRM).
 
 
 His/her major role will be to attract research support through external funding by developing attractive project proposals and liaising with donors to secure potential financial support. The farming systems scientist will conduct applied research to select conventional and alternative food and feed crops adapted to environments with excessive salt, heat, and drought stress to support integrated crop -livestock production systems, feed systems and range land management, and will help external projects as required. The systems scientist will participate in developing technology packages, including the best crop &ndash; forage management systems and operations that optimize nutrient use in arid and arid-saline soils and saline water resources. The incumbent will lead ICBA at various forums as needed to represent the center at national and international levels.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Strategic planning, designing and implementing advanced integrated crop -livestock, forage and range land farming systems strategies focused on optimizing crop, forage and livestock productivity in arid, saline, and stress-prone areas within the mandate of ICBA.
 </li>
 <li>
 Identify funding opportunities and lead the preparation of projects and proposals for submission including preparing the technical and financial components as well as identifying and liaising with potential national, regional and international partners.
 </li>
 <li>
 Leading systems research initiatives, conducting field and feed trials, and analyzing data to evaluate new food and fodder crop varieties and optimize crop- livestock interactions, and agronomic practices.
 </li>
 <li>
 Lead research on fodder and rangeland crops in arid and saline environments to support the livestock feed systems, climate resilient livestock production.
 </li>
 <li>
 Develop strategic partnerships with national, regional, and international organizations working on food, fodder and livestock systems
 </li>
 <li>
 Utilizing precision agriculture technologies and statistical methods to analyze field data, interpret results, and provide actionable insights and reports to program leaders, the Chief Scientist, and the management.
 </li>
 <li>
 Training, mentoring, and supporting junior field staff, students, and interns, fostering a culture of continuous improvement and knowledge sharing.
 </li>
 <li>
 Collaborating with cross-functional teams, farmers, and industry partners to translate research findings into practical applications and ensure compliance with environmental and safety standards.
 </li>
 <li>
 Interact and associate with other research programs for multidisciplinary research activities and participate as a team player in developing technical reports, extension materials, and publications in refereed journals.
 </li>
 <li>
 Assess the productivity, profitability, sustainability and environmental impacts of integrated crop-livestock systems using appropriate biophysical and socioeconomic indicators.
 </li>
 <li>
 Participate as needed and contribute to training programs, conferences, forums, media, ICBA publications and other appropriate fora as and when required to present ICBA innovations and increase its visibility.
 </li>
 <li>
 Perform other tasks assigned by the supervisor and management as per the requirements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 PhD in Agronomy, Agricultural Systems, Forage agronomy subject from a recognized University
 </li>
 <li>
 At least 5 years of post-PhD international work experience in integrated crop-livestock systems, cropping and farming systems, or related research Proven publication record in refereed journals
 </li>
 <li>
 Proven ability to initiate, conduct, and publish research and to obtain external grant funding
 </li>
 <li>
 Team player to work in a multi-cultural environment
 </li>
 <li>
 Fluency in written and spoken English, and well-developed presentation, negotiation and public speaking skills.
 </li>
 <li>
 Experience in statistics and database management
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Experience in crop, forage and farming systems modeling
 </li>
 <li>
 Experience on fodder, rangeland cropping and livestock feed system in water scarce environments
 </li>
 <li>
 Additional language skills like Arabic are highly desirable
 </li>
 <li>
 Experience in resource mobilization, project management or development projects.
 </li>
 <li>
 Experience working with national agricultural research systems or development agencies.
 </li>
 </ul>
 
 
 
</div>

Scientist – Integrated Crop and Livestock Systems

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (Chlamydotis undulata) and Asia (Chlamydotis macqueenii).
 
 
 
 
 
 To achieve these goals, RENECO has developed a multidisciplinary approach within different centers in Morocco, Central Asia, and the Arabian Peninsula by combining fundamental and applied research.
 
 
 
 
 
 To cope with the expansion of its activities and due to the development of new conservation projects, RENECO is opening new positions, giving a unique opportunity to be part of an ambitious conservation program.
 
 
 
 
 
 Reneco International Wildlife Consultants is seeking an
 
 AI &amp; Data Workflow Specialist
 
 to support the development and optimization of advanced data processing workflows across the organization.
 
 
 
 
 
 Working under the functional supervision of the Senior Database Manager, you will contribute to the integration of artificial intelligence, advanced analytics, and automation into our business processes. This role combines AI technologies, data science, workflow optimization, and user support to improve operational efficiency and enhance data-driven decision-making across conservation, ecology, veterinary, laboratory, and research activities.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyse existing business data workflows and integrate advanced AI and data processing solutions.
 </li>
 <li>
 Identify opportunities to optimize workflows by implementing cost-effective and innovative technologies.
 </li>
 <li>
 Monitor emerging AI technologies and recommend practical solutions aligned with business needs.
 </li>
 <li>
 Develop and maintain technical documentation, user guides, and activity reports.
 </li>
 <li>
 Deliver user training and provide ongoing support on AI tools, their capabilities, limitations, and business applications.
 </li>
 <li>
 Coordinate technical activities with external service providers and technology partners.
 </li>
 <li>
 Support the implementation of AI-driven solutions across multiple operational domains.
 </li>
 <li>
 Participate in international missions as required.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Master's degree (or equivalent) in Artificial Intelligence, Data Science, Computer Science, or a related field.
 </li>
 <li>
 Previous professional experience in AI, advanced data analysis, or a related technical role.
 </li>
 <li>
 Strong knowledge of AI technologies, including machine learning, automated recognition, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
 </li>
 <li>
 Proficiency in Python and R for data processing, analytics, and AI development.
 </li>
 <li>
 Experience working with SQL Server and T-SQL.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to improve complex business processes.
 </li>
 <li>
 Interest in applying AI solutions to scientific and operational environments such as conservation, ecology, laboratory, and veterinary activities.
 </li>
 <li>
 Ability to work independently while collaborating effectively with multidisciplinary teams.
 </li>
 <li>
 Willingness to travel internationally when required.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Business Intelligence platforms, preferably Tableau.
 </li>
 <li>
 Basic knowledge of system and network administration (Active Directory, IP, DNS).
 </li>
 <li>
 Familiarity with GIS software, particularly Esri ArcGIS Pro.
 </li>
 <li>
 Fluency in English is required.
 </li>
 <li>
 French, Arabic, Russian, Kazakh, or Uzbek language skills are considered an advantage.
 </li>
 </ul>
 
 
 
</div>

AI & Data Analysis Specialist

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 You'll be part of our rapidly growing team who will have a chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
 
 
 We Are Looking For Dedicated Individuals With a Passion For Data Science, Statistics, Operations Research And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Comfortable in a client-facing role with the ambition to lead teams
 </li>
 <li>
 Likes to distill complex results or processes into simple, clear visualizations
 </li>
 <li>
 Explain sophisticated data science concepts in an understandable manner
 </li>
 <li>
 Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
 </li>
 <li>
 Significant experience applying advanced analytics to business situations and a proven ability to synthesize complex data
 </li>
 <li>
 Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
 </li>
 <li>
 Have strong project management skills
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Requirements
 
 
 
 Currently enrolled in a university master&rsquo;s or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Visiting Forward Deployed AI Scientist, Internship, United Arab Emirates - BCG X

Explore 305+ Data scientist in United Arab Emirates this August. Find roles across top companies and apply now to boost your career.