senior data engineer

data scientist

senior design manager

senior electrical engineer

business analyst

senior data scientist

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/Data Scientist with deep banking subject matter expertise to design, develop and implement statistical models and data-driven solutions for our enterprise clients. The successful candidates will work on risk modeling, portfolio optimization, and regulatory capital management across treasury, wholesale banking, and corporate lending divisions.
Key Responsibilities:<ul>
<li>Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context</li>
<li>Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines</li>
<li>Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management</li>
<li>Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks</li>
<li>Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions</li>
</ul>Requirements
Requirements<ul>
<li>8+ years of experience in data science and statistical modeling within banking/financial services
</li><li>Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions</li>
<li>Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred</li>
<li>Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
</li><li>Hands-on experience with regulatory capital models and Basel framework</li>
<li>Strong problem-solving skills and attention to detail</li>
</ul>Note: We're looking for true data scientists with solid statistical foundations AND proven banking domain expertise, not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Senior Data Scientist

DATAIKU

<div><div>Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</div>
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.

In this role, you'll help the team:
<ul>
<li>Co-develop production-level data science projects with our customers
</li>
<li>Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
</li>
<li>Develop custom Python-based &quot;plugins&quot; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku's functionality
</li>
</ul>You might be a good fit for the role if you have:
<ul>
<li>English - fluent, Arabics - fluent/native will be a big plus</li>
<li>
Curiosity and a desire to learn new topics and skills
</li>
<li>Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
</li>
<li>The ability to clearly explain complex topics to technical as well as non-technical audiences
</li>
<li>2 - 10 years of experience with Python and SQL
</li>
<li>2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
</li>
<li>Familiarity with data visualisation in Python and R
</li>
<li>Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
</li>
</ul>Technical skills that may help you in the role:
<ul>
<li>Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>Experience with Data Engineering or MLOps
</li>
<li>Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>Experience building APIs
</li>
<li>Experience using enterprise data science tools
</li>
<li>Passion for teaching or public speaking
</li>
</ul>#LI-AS2<div><div> 
</div>
<div>What are you waiting for!</div>
<div>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page.</div>
<div></div>
<div>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com</div> 
<div></div>

<div></div><div><div>Protect yourself from fraudulent recruitment activity</div>
<div>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.</div></div></div></div>

Al Etihad Payments

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 |
 
 About the role
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 
 
 
 
 
 
 |What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Development and Deployment:
 
 </li>
 <li>
 Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
 </li>
 <li>
 Optimize and fine-tune models to improve performance and accuracy for various applications.
 </li>
 <li>
 
 Research and Innovation:
 
 </li>
 <li>
 Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
 </li>
 <li>
 Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
 </li>
 <li>
 
 Data Analysis and Processing:
 
 </li>
 <li>
 Collect, preprocess, and analyze large datasets to support model training and evaluation.
 </li>
 <li>
 Implement robust data pipelines to ensure efficient data flow and processing.
 </li>
 <li>
 
 Model Evaluation and Improvement:
 
 </li>
 <li>
 Evaluate model performance using appropriate metrics and methodologies.
 </li>
 <li>
 Identify areas for improvement and implement strategies to enhance model effectiveness.
 </li>
 <li>
 
 Collaboration and Mentorship:
 
 </li>
 <li>
 Collaborate with cross-functional teams including engineers, product managers, and researchers.
 </li>
 <li>
 Mentor and guide junior data scientists and machine learning engineers.
 </li>
 <li>
 
 Documentation and Reporting:
 
 </li>
 <li>
 Document methodologies, experiments, and results comprehensively.
 </li>
 <li>
 Prepare and present reports and findings to stakeholders and team members.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 |Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 </li>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 
 Experience:
 
 </li>
 <li>
 Minimum of 2 years of experience in LLM and Gen. AI
 </li>
 <li>
 Minimum of 5 years of experience in data science and machine learning.
 </li>
 <li>
 Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
 </li>
 <li>
 Experience with natural language processing and understanding tasks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 |Skills &amp; Competencies
 
 
 <ul>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strong understanding of machine learning algorithms, deep learning, and statistical methods.
 </li>
 <li>
 Experience with data visualization tools and techniques.
 </li>
 <li>
 Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
 </li>
 <li>
 
 Optional Skills:
 
 </li>
 <li>
 Proficiency in Arabic language (reading, writing, speaking) is a plus.
 </li>
 <li>
 
 Soft Skills:
 
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration abilities.
 </li>
 <li>
 Ability to work independently and in a team-oriented environment.
 </li>
 <li>
 Continuous learning mindset and a passion for innovation.
 </li>
 </ul>
 
 
 
 
 
 |Working Conditions
 
 
 <ul>
 <li>
 Full-time position; hybrid/remote options as per company policy.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Takamul

Experts Group International

<div>
 
 
 Job Title: Data Scientist (12-Month Contract)
 
 
 
 
 Location:
 
 UAE / Hybrid
 
 
 
 Contract Type:
 
 Full-Time, 12-Month Fixed-Term Contract
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a skilled and results-oriented
 
 Data Scientist
 
 to join our team on an initial
 
 12-month contract
 
 basis. This role will focus on leveraging data to support
 
 lead generation
 
 ,
 
 sales strategy
 
 ,
 
 pricing analytics
 
 , and automation through
 
 Python-based systems
 
 .
 
 
 You&rsquo;ll work closely with cross-functional teams&mdash;including Sales, Marketing, Product, and Engineering&mdash;to translate data into actionable insights, optimize pricing models, and build scalable tools that support growth and decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement data models to identify high-value leads and optimize lead-generation funnels.
 </li>
 <li>
 Analyze
 
 sales performance
 
 and
 
 conversion data
 
 to support targeting, segmentation, and sales strategy.
 </li>
 <li>
 Build and maintain dynamic
 
 pricing models
 
 and conduct pricing sensitivity analysis to inform business decisions.
 </li>
 <li>
 Create, automate, and optimize workflows and reports using
 
 Python
 
 , SQL, and relevant tools.
 </li>
 <li>
 Collaborate with business stakeholders to define data needs, KPIs, and success metrics.
 </li>
 <li>
 Work with large datasets from multiple sources (e.g., CRM, marketing automation, web analytics).
 </li>
 <li>
 Design and maintain intuitive dashboards and reporting systems using
 
 Tableau
 
 ,
 
 Power BI
 
 , or
 
 Python Dash/Plotly
 
 .
 </li>
 <li>
 Support A/B testing, experiment design, and performance measurement for lead-gen and sales campaigns.
 </li>
 <li>
 Build predictive or classification models where appropriate (e.g., lead scoring, churn prediction).
 </li>
 <li>
 Collaborate with data engineers (or perform data engineering tasks) to ensure data pipeline reliability and scalability.
 </li>
 <li>
 Clearly communicate findings and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Proven experience as a
 
 Data Scientist
 
 ,
 
 Data Analyst
 
 .
 </li>
 <li>
 Strong
 
 Python programming skills
 
 , including key libraries such as
 
 pandas
 
 ,
 
 NumPy
 
 ,
 
 scikit-learn
 
 ,
 
 matplotlib/seaborn
 
 , etc.
 </li>
 <li>
 Solid SQL skills and experience working with relational databases.
 </li>
 <li>
 Experience in data analysis for
 
 lead generation
 
 ,
 
 sales optimization
 
 , or
 
 pricing analytics
 
 .
 </li>
 <li>
 Experience with version control tools (e.g., Git) and collaborative codebases.
 </li>
 <li>
 Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) is a plus.
 </li>
 <li>
 Experience working with APIs or web scraping for lead or data acquisition is a plus.
 </li>
 <li>
 Comfortable working in cross-functional teams and communicating insights clearly to non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science
 
 ,
 
 Statistics
 
 ,
 
 Computer Science
 
 ,
 
 Economics
 
 ,
 
 Mathematics
 
 , or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

EPAM Systems

<div>EPAM is looking for a talented Data Scientist to join our team in Abu Dhabi. You will work on a dynamic fintech project that is transforming digital financial services across the region.
In this role, you will work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to develop AI solutions for financial services. This role combines machine learning, natural language processing and data science skills to create intelligent systems that enhance our fintech platform&rsquo;s capabilities. You will collaborate with experienced team members while developing your expertise in cutting-edge AI technologies for financial applications.
If you are eager to grow your expertise in AI, passionate about data science and motivated to impact the future of digital finance, then this unique opportunity is for you.
Responsibilities<ul><li>
Design, develop and deploy language models and RAG systems for financial applications, optimizing and fine-tuning models</li><li>
Support research initiatives in language models and retrieval-augmented generation, staying updated with the latest advancements in NLP, machine learning and AI</li><li>
Collect, preprocess and analyze datasets to support model training and evaluation, contributing to data pipeline development</li><li>
Evaluate model performance using appropriate metrics and methodologies, identifying areas for improvement</li><li>
Collaborate with cross-functional teams including engineers, product managers and researchers to deliver data science solutions</li><li>
Document methodologies, experiments and results, preparing reports and presenting findings to team members and stakeholders</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in computer science, Data Science, Machine Learning, Mathematics or a related field (master&rsquo;s preferred)</li><li>
Minimum 2 years of experience in data science and machine learning</li><li>
Experience with data science projects and model development preferred</li><li>
Some experience working with machine learning models, with exposure to NLP or language models a plus</li><li>
Proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch)</li><li>
Knowledge of SQL and cloud platforms (AWS, GCP, Azure)</li><li>
Hands-on experience with data visualization, machine learning algorithms, statistical methods and basic deep learning</li><li>
Strong communication, problem-solving and collaboration skills</li><li>
Desire to learn and grow in data science and AI technologies</li></ul>
Nice to have<ul><li>
Certifications in cloud platforms (AWS, Azure, Google Cloud) or AI/machine learning</li><li>
Basic understanding of MLOps and model deployment</li><li>
Knowledge of distributed computing frameworks</li><li>
Experience with data engineering tools and pipelines</li><li>
Understanding of financial services data and analytics</li><li>
Interest in financial modeling and risk assessment</li><li>
Awareness of AI applications in financial services</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Acenet consulting

<div><div>Experience: 7 to 12 years
 
Location: Abu Dhabi
 
Job code: 101331
 
Posted on: Sep 23, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.
<div>Key Responsibilities : 
<ul><li>Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.</li><li>Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.</li><li>Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.</li><li>Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.</li><li>Development of predictive models for debt management and reporting on optimal debt strategies.</li><li>Insights and visual reports on the influence of external economic indicators and trends on national financial planning.</li><li>Identification and documentation of additional use cases, along with
</li></ul>recommendations for refining and optimizing existing analytics models.</div>
<div>Role Requirements and Qualifications: 
<ul><li>Proficiency in Python, R, or similar languages for machine learning.</li><li>Hands-on experience with data platforms and cloud-based analytics.</li><li>Strong understanding of public sector finance and economic modeling.</li><li>Experience in dashboard development using Tableau is a plus.</li><li>The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position</div>

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