data analyst

data scientist

senior data scientist

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analytical data scientist

Smyrooms, a brand of Grupo Viajes El Corte Inglés

<div>
 
 Smyrooms is part of Viajes El Corte Ingl&eacute;s Group, one of the biggest conglomerate of Spain offering hotels in over 120 countries for our clients.
 
 
 
 
 
 Our company was founded with the aim of supplying the many brands of the group as well as all of our customers with our travel inventory at competitive prices.
 
 
 
 
 
 We are one of the youngest brands in the group, and tha makes us dynamic, energetic and technologically savvy. We are not just a beddank.
 
 
 
 
 
 Data is part of our DNA, our phylosophy is data, driven solutions. Currently we are searching a
 
 Data Scientist
 
 , specialized in Travel Sector for our headoffices in Dubai (United Arab Emirates).
 
 
 
 
 
 Salary range for this role: AED 160,000 - 180,000 AED per annum.
 
 
 
 
 
 
 
 Job characteristics:
 
 
 
 
 
 
 <ul>
 <li>
 Support the Pricing and Distribution area to optimize the revenue and product segmentation, to stay as competitive (and reachable) as possible in a multi-connected environment.
 </li>
 <li>
 Responsible for analyzing commercial data to identify trends, patterns and opportunities for business growth.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business objectives, identify opportunities and implement solutions to optimize commercial operations.
 </li>
 <li>
 Strong communicator with strong analytical abilities, capable of translating complex data into actionable insights and effectively communicating high-level business updates as well as granular data analysis.
 </li>
 <li>
 Developing growth strategies and providing strategic insights to drive business success.
 </li>
 <li>
 Provide the Leadership team with recurring and ad-hoc data analysis and comprehensive reporting, as well as generate momentum, global ownership and overall support to speed up the team&rsquo;s action plan.
 </li>
 <li>
 Support and manage the enhancement of business processes and proactively identify opportunities to increase customer success.
 </li>
 <li>
 Provide support to key commercial functions through rigorous and deep analysis that facilitates understanding root causes &amp; actions to be taken. Identify best practices, share and reapply across the organization.
 </li>
 <li>
 Follow up on the opportunities and tasks generated by or towards the commercial teams.
 </li>
 <li>
 Develop presentations with conceptual and/or quantitative analysis that facilitate top management decision making.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Strong Analytical, numerical, communication and presentation skills to be able to interpret, summarize and present complex data sets from multiple sources in a simple and comprehensive way.
 </li>
 <li>
 Effectively manage communication at senior level.
 </li>
 <li>
 Be able to report KPIs and performance metrics in a structured manner as well as develop analytical models to facilitate decision making.
 </li>
 <li>
 Detail oriented and organized, with the ability to manage multiple projects simultaneously.
 </li>
 <li>
 Strong interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
 </li>
 <li>
 Experience working in a fast-paced dynamic environment with challenging deadlines and competing priorities.
 </li>
 <li>
 Methodical and organized mindset with the ability to think critically and develop innovative solutions to business challenges.
 </li>
 <li>
 Visual/Analytical aid tools (Tableau, Looker Studio, Excel and PowerPoint knowledge).
 </li>
 <li>
 Database management skills through the use of programming languages (SQL/Python).
 </li>
 <li>
 Proactive and autonomous approach to working with critical thinking, collaboration &amp; creativity.
 </li>
 <li>
 Languages: English (Spanish as a enabler).
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, economics, data analytics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are interested on this possition, do not hesitate to apply. You will feel at home.
 
 
</div>

Data Scientist

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
In this role, you will:
<ul><li>Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
</li><li>Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
</li><li>Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
</li><li>Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
</li><li>Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
</li><li>Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
</li><li>Hands-on experience in Data Science ecosystem.
</li><li>Hands-on experience in Gen AI, LLMs and Agentic AI
</li><li>Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li><li>Hands-on experience with SQL, R, Python.
</li><li>Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li><li>Hands-on experience building libraries and packages to be re-used by others.
</li><li>Hands-on experience building DS Solutions for production usage.
</li><li>Team player with a problem solving attitude.
</li><li>Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

the ENTERTAINER

<div>
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 
 
 The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that "experience is everything," and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.&nbsp;
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization.
 
 
 
 
 
 
 
 
 
 As a Data Scientist you will
 
 
 
 
 
 
 
 
 Strategic Impact &amp; Business Influence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Define and execute a holistic data science strategy aligned with B2C growth goals.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Product &amp; Business Intelligence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.&nbsp;
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Analytics Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Lead development of dashboards and self-serve analytics tools for key stakeholders.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in designing experiments (A/B testing) and statistical inference techniques.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with modern data visualization tools like Tableau, Power BI.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and storytelling skills to influence executive stakeholders.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Track record of delivering high-impact insights and building analytics capabilities from scratch.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong mentoring, coaching, and cross-functional collaboration abilities.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Competitive salary and benefits package.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Opportunity to work with an energetic and innovative company.
 
 
 
 
 </li>
 <li>
 
 
 
 
 A chance to contribute to the success of a well-known UAE brand.
 
 
 
 
 </li>
 </ul>
</div>

Emirates

<div>
 
 Job Purpose
 
 
 
 At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
 
 
 The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
 </li>
 <li>
 Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
 </li>
 <li>
 Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
 </li>
 <li>
 Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
 </li>
 <li>
 Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
 </li>
 <li>
 Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
 </li>
 <li>
 Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
 
 
 </li>
 </ul>
 Qualification
 
 
 
 To be considered for this role, you must meet the below requirements:
 
 
 
 <ul>
 <li>
 Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li>
 <li>
 Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
 </li>
 <li>
 Hands-on experience in Data Science ecosystem.
 </li>
 <li>
 Hands-on experience in Gen AI, LLMs and Agentic AI
 </li>
 <li>
 Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
 </li>
 <li>
 Hands-on experience with SQL, R, Python.
 </li>
 <li>
 Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
 </li>
 <li>
 Hands-on experience building libraries and packages to be re-used by others.
 </li>
 <li>
 Hands-on experience building DS Solutions for production usage.
 </li>
 <li>
 Team player with a problem solving attitude.
 </li>
 <li>
 Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
 </li>
 <li>
 Able to challenge and review the quality and value generated from analytical output.
 
 
 </li>
 </ul>
 At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
 
 
 Salary &amp; benefits
 
 
 Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
</div>

Innoventures Education

Job Title: School Data AnalyticsJob briefManage and maintain the smooth operation of the school information system (iSAMS) while providing data support for our schools. In this role, you will be responsible for collating, analyzing, and verifying data from multiple sources and generating insightful reports, for management to support learning. You will also be required to support staff on data related matters and maintain various school applications and resources.Key Responsibilities<ul><li>Manage, maintain, and develop the school&rsquo;s MIS (iSAMS).</li><li>Ensure accurate and timely entry, analysis, and reporting of student data including progress, assessments, attendance, and examinations.</li><li>Produce high-quality reports and dashboards for school leadership and external stakeholders.</li><li>Support and train staff in using MIS systems and data tools.</li><li>Collaborate with academic and leadership teams to develop tracking systems that enhance student outcomes.</li><li>Maintain data security and ensure compliance with GDPR and school policies.</li><li>Coordinate with external system providers for updates, troubleshooting, and enhancements.</li><li>Prepare and publish termly and annual reports via the school&rsquo;s VLE/parent portal.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in information management, Data Analytics, Computer Science, or a related field.</li><li>3+ years of experience as a school data specialist/analyst.</li><li>Experience with MIS and educational applications (iSAMS, ManageBac, Seesaw, Learning Ladders, Toddle, etc.).</li><li>Strong knowledge of databases and reporting tools (SQL, Excel, Power BI, Tableau, etc.).</li><li>Ability to read, interpret, and validate data from multiple formats and systems.</li><li>Strong understanding of ERP systems and data retrieval processes.</li><li>Excellent analytical, problem-solving, communication, and report-writing skills.</li><li>Experience training and supporting end-users.</li><li>Ability to work independently and manage multiple tasks effectively.</li></ul>How to ApplyInterested candidates may submit their CV on the below link https://form.jotform.com/253181160438049Job Types: Full-time, Permanent

School Data Analytics

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

Data Scientist - Advanced Analytics CoE

Promofix FZ LLC

Job SummaryBlis is seeking a Senior Data Scientist (Freelance) to provide actionable insights and advanced analytics for our clients and internal teams. You will work on complex data sets, develop predictive models, and translate data into clear, strategic recommendations. This is a freelance role with flexible hours and remote collaboration.Key Responsibilities<ul><li>Develop advanced analytical models and extract actionable insights from data.</li><li>Conduct deep-dive audience analyses using digital, mobile, and behavioural data.</li><li>Build predictive models, segmentation frameworks, and data mining workflows.</li><li>Support sales and client teams with insights for media briefs and proposals.</li><li>Prepare dashboards, reports, and presentations to communicate findings effectively.</li><li>Lead end-to-end analytics projects, from data extraction to insights delivery.</li><li>Contribute to Thought Leadership and research initiatives, including white papers.</li></ul>Requirements<ul><li>5+ years of experience as a Data Scientist or Senior Analyst in analytics, research, or media.</li><li>Strong quantitative research and statistical modelling skills.</li><li>Proficient in Python, SQL, and data visualization tools (Tableau, Power BI, or similar).</li><li>Experience with large-scale datasets, predictive analytics, and machine learning.</li><li>Strong understanding of audience analytics, digital media, and consumer behaviour.</li><li>Excellent communication and presentation skills, with ability to simplify complex data.</li><li>Self-motivated, able to manage multiple projects independently.</li></ul>Preferred Qualifications<ul><li>Experience in mobile/location analytics or ad-tech platforms.</li><li>Exposure to media planning/buying or digital publishing.</li><li>Strong storytelling ability with data to influence business decisions.</li></ul>Contract Details<ul><li>Freelance / Project-based</li><li>Remote-friendly with flexible working hours</li></ul><ul><li>Location: Preferably India (Remote / Flexible)</li></ul>Apply now: hr@jgroup-me.comJob Types: Full-time, Permanent, ContractPay: AED5,000.00 - AED7,000.00 per month

Analytics & Insights – Blis

Explore 3291+ Analytical data scientist in Dubai this December. Find roles across top companies and apply now to boost your career.

3291 analytical data scientist jobs IN Dubai

Data Scientist

Data Scientist

Data Scientist

Data Scientist

School Data Analytics

Data Scientist - Advanced Analytics CoE

Analytics & Insights – Blis