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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.
<div><div><div><h2 class="jobSectionHeader">Your Role
</h2></div><div>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></div></div><div><div><h2 class="jobSectionHeader">Your Profile
</h2></div><div><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></div></div><div><div><h2 class="jobSectionHeader">What You&rsquo;ll Love About Working Here 
</h2></div><div></div><div><div><ul><li>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</li></ul></div><div><ul><li>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</li></ul></div><div><ul><li>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</li></ul></div></div></div></div>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

Emirates Leisure Retail

<div>
 
 
 About Us
 
 
 
 
 
 
 Emirates Leisure Retail (ELR) is subsidiaries of the Emirates Group, committed to excellence in the food and beverage industries. ELR operates a diverse portfolio of over 300+ food and beverage outlets across the globe, featuring internationally acclaimed brands like Costa Coffee UAE and Pret A Manger. ELR embodies our businesses dedication to innovation, quality, and exceptional customer experiences.
 
 
 About the Role: We&rsquo;re looking for enthusiastic and customer-focused Team Leader to join our team across our food and beverage outlets delivering exceptional customer experiences, ensuring high-quality service, and fostering a collaborative work environment. Whether customer-facing, supporting with food preparation, or providing operational support, you&rsquo;ll play a vital part in creating memorable experiences for our customers while working as part of a dynamic and supportive team.
 
 
 
 
 
 
 Role Purpose
 
 
 
 
 
 
 
 
 
 As a Data Scientist within the CRM &amp; Loyalty team, you&rsquo;ll transform customer and operational data into powerful strategies that elevate how we engage, retain, and grow our customer base. You will own and be the champion of measurement and advanced analytics, uncovering hidden patterns that drive smarter decisions and tangible results.
 
 
 
 
 
 This is a high-impact role where your insights will directly influence key decisions, fuel loyalty innovation, and shape the customer journey across our e-commerce platform, mobile app, retail stores and b2b accounts. Beyond CRM &amp; Loyalty, you&rsquo;ll also partner with cross-functional teams to address strategic challenges in retail operations, pricing &amp; promotions, category strategy, and B2B performance &mdash; solving high-value business problems with data.
 
 
 
 
 
 By combining statistical modelling, machine learning, and domain knowledge, you will provide deep, actionable insights that empower the business to anticipate customer needs, design personalized experiences, and strengthen our position as the region&rsquo;s leading master franchise of a global coffee brand.
 
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Build and evolve customer data architecture to support advanced analytics, segmentation, and campaign personalization across CRM and loyalty ecosystems.
 </li>
 <li>
 Develop predictive models and analytical frameworks to forecast customer behavior, optimize program performance, and drive data-informed decision-making.
 </li>
 <li>
 Transform complex data into actionable insights, delivering clear recommendations that improve targeting, retention, and lifetime value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., BI, marketing, e-commerce, retail, category) to align data science efforts with strategic business goals.
 </li>
 <li>
 Continuously explore new tools and trends in data science to maintain technical excellence and deliver innovative customer solutions.
 </li>
 <li>
 Perform statistical analysis and/or data mining methods to discover hidden patterns and relations in data to answer business questions
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Required Skills, Experience &amp; Qualification
 
 
 
 
 
 <ul>
 <li>
 Minimum 5 years&rsquo; experience in data analytics.
 </li>
 <li>
 Proficient in SQL and Python/R, using them to solve real business problems.
 </li>
 <li>
 Strong understanding of customer behaviour and drivers of retention, loyalty, and value.
 </li>
 <li>
 Skilled at simplifying complex concepts and collaborating with marketing, e-commerce, and BI teams.
 </li>
 <li>
 Knowledge in data visualization tools like Power BI or Tableau or Looker
 </li>
 <li>
 Passionate about segmentation, uplift modelling, and campaign design.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desirable Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in consuming API&rsquo;s and automating processes with API&rsquo;s
 </li>
 <li>
 Experience in retail business/e-commerce
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us
 
 
 
 
 
 
 Join
 
 MMI
 
 and use your data science expertise to shape the future of our CRM, loyalty, and e-commerce strategies. Collaborating with marketing, retail, and digital teams, you&rsquo;ll see your insights directly influence business decisions, customer experiences, and revenue growth &mdash; all within a forward-thinking organisation that values innovation, collaboration, and measurable impact.
 
 
 
 
</div>

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. (https://press.aboutamazon.com/2023/6/aws-announces- generative-ai-innovation-center).
 
 
 We&rsquo;re looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
 
 
 You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
 
 
 As an early-in-career joiner, you will initially join our A2C (Associate to Consultant) program for intensive training on AWS technology and delivery approach.
 
 
 Emirati nationality is required.
 
 
 Key job responsibilities
 
 
 As a Data Scientist, you will
 
 
 <ul>
 <li>
 Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
 </li>
 <li>
 Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
 </li>
 <li>
 Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
 </li>
 <li>
 Provide customer and market feedback to Product and Engineering teams to help define product direction
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train or fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The Generative AI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
 
 
 Diverse Experiences
 
 
 AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
 Why AWS?
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
 Inclusive Team Culture
 
 
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
 
 
 Mentorship &amp; Career Growth
 
 
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
 Work/Life Balance
 
 
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 PhD or Master's degree or equivalent experience
 </li>
 <li>
 Experience building a range of AI/ML models
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
 
 
 <ul>
 <li>
 Prior experience in training and fine-tuning of Large Language Models (LLMs)
 </li>
 <li>
 Knowledge of AWS platform and tools
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Web Services EMEA Dubai FZ Branch - Q29
 
 
 Job ID: A3013785
</div>

Data Scientist -UAE National , AWS Generative AI Innovation Center

Delivery Hero

<div>Company Description 
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

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>

Confidential

<div>
 
 
 About the Role:
 
 
 
 
 
 
 We are seeking a skilled
 
 Senior Data Scientist
 
 to join a leading organization focused on leveraging advanced analytics and data-driven insights to optimize operations and support strategic decision-making.
 
 
 
 
 
 
 Job Function:
 
 
 
 
 
 
 Lead the design, development, and deployment of advanced data analytics and machine learning models to support critical decision-making processes. Deliver predictive insights and operational improvements through data-driven solutions. Collaborate with cross-functional teams to integrate analytics into business workflows and mentor junior team members.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and deploy advanced analytics and predictive models to support critical operational functions
 </li>
 <li>
 Extract and analyze complex data sets to deliver actionable insights
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data-driven solutions
 </li>
 <li>
 Perform model evaluation, tuning, and deployment using Python, SQL, and cloud platforms
 </li>
 <li>
 Communicate analytical findings effectively to senior stakeholders
 </li>
 <li>
 Mentor junior data science team members
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline is required
 </li>
 <li>
 Master&rsquo;s or PhD degree in a related field is highly desirable
 </li>
 <li>
 8&ndash;10 years of experience in data science and advanced analytics
 </li>
 <li>
 Relevant certifications such as Certified Data Scientist, AWS/Azure Data Certifications, or similar are a plus
 </li>
 </ul>
 
 
 
 
 
 Key Skills:
 
 
 
 
 
 <ul>
 <li>
 Advanced data science, machine learning, and predictive modeling
 </li>
 <li>
 Proficient in Python and libraries such as scikit-learn, xgboost, prophet
 </li>
 <li>
 Strong SQL skills, preferably Oracle
 </li>
 <li>
 Experience with cloud platforms like Azure ML
 </li>
 <li>
 Excellent communication and problem-solving abilities
 </li>
 <li>
 Ability to translate complex data into actionable business insights
 </li>
 <li>
 Strong collaboration and mentoring skills
 </li>
 </ul>
 
 
</div>

Senior Data Scientist-Transportation and Fleet Analytics

flydubai

<div>MAIN OBJECTIVE OF ROLE: To support analytical and business intelligence capability, developing dashboards and predictive models that identify and apply data-driven solutions to solve and optimise network planning and scheduling problems. KEY RESPONSIBILITIES:
<ul><li>Designs and deploys intuitive dashboards that transform complex data into clear visuals and actionable narratives, supporting decision-making and business objectives within the context of network planning and scheduling.</li><li>
Conducts evaluations and impact analyses of network changes, such as capacity deployment, aircraft swaps, or new routes by leveraging predictive analytics.</li><li>
Supporting analytics and business intelligence within the department and helping meet the needs of the Network Planning and Scheduling team.</li><li>
Assists in delivering analytical components for special projects requiring unique BI and machine learning expertise, such as new hub analysis, joint ventures, airline start-ups, etc.</li><li>
Develop and maintain data sources and data flows in Tableau and other analytical tools, ensuring data accuracy, validity, and integrity.</li><li>
Apply machine learning algorithms and build data models to analyze time series data for forecasting, anomaly detection, and trend analysis, enhancing network performance insights.</li><li>
Assists with the analytics contributions and technical production of the annual Budget Operating Plan exercise.</li><li>
Design and build blended analytical models combining multiple data sources to generate creative insights aligned with strategic goals, key performance indicators, and progress metrics.</li><li>
Assists in risk assessment activities and in ensuring that the compliance measures are in place for the department via the company-specific Information Security Regulations (ISR) protocols.</li></ul>
QUALIFICATIONS:
<ul><li>Bachelor's Degree (3+ years)</li><li>
Degree to be in Operations Research or any STEM (Science, Technology, Engineering &amp; Mathematics) vertical</li><li>
Fluent in English</li><li>
Experience in Airline network planning or operations preferred, but not essential</li><li>
Experience as a Data Scientist/Analyst using environments such as Python or R Tableau, Power BI or MicroStrategy</li><li>
Years with qualifications: 3 - 5 years</li><li>
Certification in Data Analytics, SQL, Tableau, PowerBI or MicroStrategy preferred</li></ul>
COMPETENCIES:
<ul><li>Customer Focus</li><li>
Teamwork</li><li>
Effective Communication</li><li>
Personal Accountability &amp; Commitment to achieve</li><li>
Resilience &amp; Flexibility (Can do attitude)</li></ul>
ISR Requirements: Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.</div>

Officer - Network Planning & Analytics

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Data Scientist

Data Scientist

Data Scientist -UAE National , AWS Generative AI Innovation Center

Director Data Scientist - Analysis

Director Data Scientist - Analysis

Senior Data Scientist-Transportation and Fleet Analytics

Officer - Network Planning & Analytics