business analyst

financial analyst

data analyst

senior data engineer

data scientist

analytical data scientist

Capgemini Engineering

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 Your Role
 
 
 We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
 
 
 
 Key Responsibilities Of This Role
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement statistical models, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Translate business problems into analytical solutions and communicate findings effectively.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data science solutions into business processes.
 </li>
 <li>
 Create visualizations and dashboards to present insights to stakeholders.
 </li>
 <li>
 Continuously monitor model performance and update models as needed.
 </li>
 <li>
 Document methodologies, experiments, and results for reproducibility and knowledge sharing.
 
 
 </li>
 </ul>
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
 </li>
 <li>
 Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and data wrangling.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with Agile/Scrum methodologies is a plus.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
 </li>
 <li>
 Career Growth Opportunities&mdash;Access diverse roles and career development programs.
 </li>
 <li>
 Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Data Scientist

Suadeo

<div>
 
 
 Company Description
 
 
 
 Suadeo is a French software company that offers a Self BI Platform to empower users with data autonomy and analytics capabilities. The Suadeo Self BI Platform combines Data Governance and DataViz to enable non-IT users to conduct data analysis, exchange data flows, catalog, and share insights seamlessly. Headquartered in Ivry sur Seine, France, Suadeo serves clients across various industries in both the public and private sectors.
 
 
 
 
 
 
 Location: Sonorbi/Suadeo:
 
 
 Office, Dubai
 
 
 
 
 Contract Type:
 
 
 Full-time, Permanent (CDI)
 
 
 
 
 Required Experience:
 
 
 Minimum 5 years in Data Science with expertise in Generative AI &amp; NLP
 
 
 
 
 Context:
 
 
 Suadeo is developing a full-stack data platform integrating Generative AI models and intelligent agents to automate data analysis and interpretation. We are looking for an experienced Data Scientist to join our team and develop cutting-edge solutions in Text-to-SQL, document connectivity, and advanced AI-driven interactions.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 1.&nbsp;Generative AI Development &amp; Integration:
 
 
 
 
 -Design, train, and fine-tune AI models for document data extraction and structuring.
 
 
 
 
 -Implement AI-powered agents to automate user interactions and natural language queries.
 
 
 
 
 2.&nbsp;Text-to-SQL &amp; AI for Data Processing:
 
 
 
 
 -Develop Text-to-SQL algorithms to convert natural language into optimized SQL queries within the Suadeo SDS platform.
 
 
 
 
 -Enhance query interpretation and execution by leveraging AI models for complex data requests.
 
 
 
 
 3.&nbsp;Document Processing &amp; Structuring:
 
 
 
 
 -Build AI-driven solutions to connect, index, and query structured and unstructured documents (Word, PDF, Excel).
 
 
 
 
 -&nbsp;Ensure seamless integration with Suadeo&acirc;&euro;&trade;s data catalog and lineage for knowledge discovery.
 
 
 
 
 4.&nbsp;AI Model Optimization &amp; MLOps:
 
 
 
 
 -Deploy, monitor, and optimize AI models using MLOps best practices.
 
 
 
 
 -Continuously assess and improve AI model accuracy, efficiency, and scalability.
 
 
 
 
 5.&nbsp;Collaboration with Technical &amp; Business Teams
 
 
 :
 
 
 
 
 -Work in an Agile SAFe environment alongside DevOps, Data, and Product teams to align AI solutions with business objectives.
 
 
 
 
 -Support internal teams by providing expertise on AI deployment, automation, and optimization.
 
 
 
 
 
 
 
 Required Technical Skills:
 
 
 
 
 -Generative AI &amp; NLP: Experience with LLMs (GPT, Mistral, Claude, etc.), fine-tuning, embeddings, and vector databases.
 
 
 
 
 -Databases &amp; SQL: Strong expertise in Text-to-SQL, query optimization, and managing large-scale databases.
 
 
 
 
 -Document Processing: OCR, NLP-based text extraction, vector search, and semantic indexing.
 
 
 
 
 -MLOps &amp; Deployment: Experience with Kubernetes, Docker, CI/CD for AI models.
 
 
 
 
 -Programming Languages: Python (Langchain, LlamaIndex, Hugging Face), SQL, FastAPI, REST API.
 
 
 
 
 
 
 
 Ideal Candidate Profile:
 
 
 
 
 -&nbsp;Minimum 5 years of experience in Data Science, with a focus on Generative AI, NLP, and applied AI solutions.
 
 
 
 
 -Hands-on experience deploying AI models into production and integrating them into existing data platforms.
 
 
 
 
 -Strong problem-solving skills and ability to optimize AI models for real-world business use cases.
 
 
 
 
 -Experience working in Agile SAFe methodology within cross-functional teams.
 
 
 
 
 -Strong communication skills to collaborate with data engineers, software developers, and business teams.
 
 
</div>

Data Scientist and Generative AI & Data Analytics

talabat

<div>
 talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 
 Role Summary:
 
 
 
 The Growth Data Science Director will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue optimization for tmart and Quick commerce.
 
 
 This leader will drive business impact through the design, execution, and interpretation of experiments, empowering product, marketing, and operations teams to make data-informed decisions.
 
 
 
 What&rsquo;s On Your Plate?
 
 
 
 
 Data Science
 
 
 
 <ul>
 <li>
 Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.
 </li>
 <li>
 Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.
 
 
 </li>
 </ul>
 
 Experimentation &amp; Causal Inference
 
 
 
 <ul>
 <li>
 Develop and oversee frameworks for rigorous A/B testing, multi-armed bandit testing, and quasi-experimental designs.
 </li>
 <li>
 Establish best practices for hypothesis formulation, testing methodologies, and causality analysis to ensure valid and actionable insights.
 </li>
 <li>
 Drive adoption of experimentation as a core decision-making process across the company.
 
 
 </li>
 </ul>
 
 Analytics &amp; Insights
 
 
 
 <ul>
 <li>
 Partner with cross-functional stakeholders to translate business challenges into well-defined analytical problems.
 </li>
 <li>
 Present clear, data-driven recommendations to senior leadership and executive teams.
 </li>
 <li>
 Ensure statistical rigor and best practices in all analyses conducted by the data science team.
 
 
 </li>
 </ul>
 
 Strategic Leadership and Business Acumen
 
 
 
 <ul>
 <li>
 Demonstrate strategic leadership skills and an understanding of how data science can drive business success.
 </li>
 <li>
 Articulate your vision for your area and align your team&rsquo;s work with broader organizational goals.
 </li>
 <li>
 Identify emerging trends and technologies that can drive value for the business and take steps to incorporate them into your team&rsquo;s work.
 
 
 </li>
 </ul>
 
 Collaboration and Influence
 
 
 
 <ul>
 <li>
 Work collaboratively with a wider range of stakeholders, including senior executives, product managers, and engineers.
 </li>
 <li>
 Build strong partnerships across the organization, communicate effectively, and influence decision-making.
 </li>
 <li>
 Manage relationships with external partners, such as vendors or academic institutions, and represent the organization in industry events and conferences.
 
 
 </li>
 </ul>
 
 Resource Management
 
 
 
 
 As a director, you will have responsibility for managing a larger team of data scientists, analysts, and engineers, as well as budgets and resources.
 
 
 
 <ul>
 <li>
 Make data-driven decisions about resource allocation, prioritize projects and initiatives, and manage risk effectively.
 </li>
 <li>
 Coach and mentor other managers within your team, helping them to develop their skills and grow as leaders.
 
 
 </li>
 </ul>
 
 Strategic Hiring and Talent Development
 
 
 
 <ul>
 <li>
 Responsible for recruiting and retaining top talent within your organization.
 </li>
 <li>
 Work with HR and recruiting teams to develop job descriptions and identify candidates, as well as creating onboarding and training programs to help new hires get up to speed quickly.
 </li>
 <li>
 Develop career paths for your team members, set expectations for their growth and development, and provide regular feedback and coaching to help them achieve their goals.
 
 
 </li>
 </ul>
 
 Organizational Change Management
 
 
 
 <ul>
 <li>
 Manage organizational change effectively, whether it involves new technologies, processes, or initiatives.
 </li>
 <li>
 Communicate the rationale for change, involve key stakeholders in decision-making, and manage resistance effectively.
 </li>
 <li>
 Develop and implement change management plans that minimize disruption and ensure that your team is able to adapt to new ways of working.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What Did We Order?
 
 
 
 <ul>
 <li>
 A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
 </li>
 <li>
 A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related disciplines
 </li>
 <li>
 Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.
 </li>
 <li>
 Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.
 </li>
 <li>
 Must have a track record of applying these skills and leading teams to design and implement innovative data-driven products and deliver impactful insights and recommendations
 
 
 </li>
 </ul>
 
 Business Acumen
 
 
 
 <ul>
 <li>
 Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.
 </li>
 <li>
 Demonstrated experience in identifying and quantifying the business impact of data-driven initiatives, such as revenue growth, cost savings, and customer retention.
 
 
 </li>
 </ul>
 
 Strategic Thinking
 
 
 
 <ul>
 <li>
 A strategic mindset with the ability to envision and communicate long-term data-driven goals and objectives that align with the organization's overall strategy.
 </li>
 <li>
 Proficiency in developing and executing data-driven roadmaps and plans that drive innovation, competitive advantage, and market growth.
 </li>
 </ul>
</div>

Director Data Scientist - Analysis

Binance

<div><div>Binance is the global blockchain company behind the world&rsquo;s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.</div><div></div><div> 
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?</div><div></div><div> 
About Binance Accelerator Program</div><div>
</div><div>
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds&rsquo; leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.</div><div></div><div> 
Learn about BAP Program HERE</div><div>
</div><div>
Who may apply</div><div>
</div><div>
Current University students and recent graduates who can commit at least 6 months tenure, minimum 4 days per week</div>
<h3 class="jobSectionHeader">Responsibilities:</h3><ul><li>
Contribute to the design and development of AI agents integrated into live systems.</li><li>
Help build and maintain benchmark datasets to evaluate AI performance.</li><li>
Design, prototype, and iterate AI agent workflows using frameworks such as LangChain, LangGraph, or similar frameworks.</li><li>
Collaborate closely with senior engineers on system design, integration, and deployment.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Currently pursuing a degree in Artificial Intelligence, Computer Science, or a related field.</li><li>
Familiarity with LLM application development, including prompt engineering, RAG. Knowledge of LLM fine-tuning is a plus.</li><li>
Hands-on experience with LLM frameworks (e.g., LangChain, LangGraph) is a strong plus.</li><li>
Strong programming fundamentals and experience with Python.</li><li>
Interest in AI, data-driven systems, and building tools for real-world applications.</li><li>
Good communication skills and willingness to learn quickly.</li></ul></div>

Binance Accelerator Program - Data Scientist (AI/LLM)

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>

Involved Solutions

<div>
 
 We have partnered with a high-growth FinTech company in Dubai to recruit a Senior Data Scientist. This role will focus on developing AI/ML models that directly impact customer analytics, fraud prevention, and product innovation.
 
 
 
 
 
 About the role
 
 <ul>
 <li>
 Build, test, and deploy predictive and machine learning models for fintech use cases.
 </li>
 <li>
 Work with large-scale transactional and customer datasets to deliver actionable insights.
 </li>
 <li>
 Lead experimentation and A/B testing to optimise products and user journeys.
 </li>
 <li>
 Partner with engineering teams to scale models into production and monitor performance.
 </li>
 </ul>
 
 
 
 
 About you
 
 <ul>
 <li>
 Masters in Data Science, Statistics, or Applied Mathematics.
 </li>
 <li>
 6+ years of data science experience, with strong focus on AI/ML model development.
 </li>
 <li>
 Excellent knowledge of Python, SQL, and data visualisation tools.
 </li>
 <li>
 Experience with financial services datasets (fraud detection, credit scoring, or risk modelling).
 </li>
 <li>
 Ability to translate technical solutions into business impact for non-technical stakeholders.
 </li>
 </ul>
</div>

Senior Data Scientist

Explore 2231+ Analytical data scientist in Dubai this September. Find roles across top companies and apply now to boost your career.

2231 analytical data scientist jobs IN Dubai

Data Scientist

Data Scientist

Data Scientist and Generative AI & Data Analytics

Director Data Scientist - Analysis

Binance Accelerator Program - Data Scientist (AI/LLM)

Data Scientist

Senior Data Scientist