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director data scientist - analysis Jobs in Dubai

director data scientist - analysis

data science lead

The Entertainer FZ LLC

<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 &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
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.
</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>
AdJwLsSZTb</div>

Data Scientist

Hays

<div>
 
 
 Lead Data Scientist
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 We&rsquo;re looking for a dynamic Lead Data Scientist to drive end-to-end delivery of impactful AI and data science solutions. You&rsquo;ll lead a small, high-performing team, work closely with senior stakeholders, and champion data-driven decision-making across the business. This is a hands-on leadership role ideal for someone with a fintech or start-up background who thrives in fast-paced, agile environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Lead and mentor a team of data scientists, fostering a collaborative and innovative culture.
 </li>
 <li>
 Own delivery of AI/ML projects from ideation to deployment.
 </li>
 <li>
 Engage with senior stakeholders to align data initiatives with business goals.
 </li>
 <li>
 Identify and develop high-impact use cases across functions (Ops, Marketing, Finance).
 </li>
 <li>
 Drive agile, iterative development and ensure timely, high-quality execution.
 </li>
 </ul>
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 
 
 <ul>
 <li>
 8+ years of experience in data science, with 2+ years in a leadership role.
 </li>
 <li>
 Proven track record of delivering end-to-end AI/ML solutions.
 </li>
 <li>
 Strong stakeholder management and communication skills.
 </li>
 <li>
 Experience in fintech or start-up environments preferred.
 </li>
 <li>
 Proficiency in Python, SQL, and modern ML frameworks.
 </li>
 <li>
 Wholesome data science experience (LLM&rsquo;s, AI automation, GenAI, advanced analytics)
 </li>
 <li>
 Quantitative finance implementation (desired)
 </li>
 </ul>
</div>

Lead Data Scientist

Emirates Global Aluminium (EGA)

<div>
 Job description:
 
 
 
 JOB PURPOSE:
 
 
 The Principal Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Principal Data Scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. He/ she is also responsible to define and implement DS standards and toolkit within EGA, and build and nurture the Data Science community within and beyond the CoE.
 
 
 &nbsp;
 
 
 KEY ACCOUNTABILITIES:
 
 <ul>
 <li>
 Effectively communicate the analytics approach and how it will meet and address objectives to business partners
 </li>
 <li>
 Advocate and educate on the value of data driven decision making focusing on the &ldquo;how and why&rdquo; of solving problems
 </li>
 <li>
 Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
 </li>
 <li>
 Expert in Developing data science capability and can advocate the importance of continuous learning to the data science team. knows how to develop data science capability across the wider organisation and in industry. Sets as a role model of best practice through demonstration of his own self-directed learning. You set the data science curriculum across the organisation.
 </li>
 <li>
 Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
 </li>
 <li>
 Ensure consistent and high quality data science standards and tools are deployed and developed within the organization
 </li>
 <li>
 Engineer features by using business acumen to find new ways to combine disparate internal and external data sources
 </li>
 <li>
 Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
 </li>
 <li>
 Collaborate, coach, and learn with a growing team of experienced Data Scientists
 </li>
 <li>
 provides leadership and direction across a programme of multidisciplinary data science projects, managing resources to ensure delivery.
 </li>
 <li>
 Recognised as a strategic authority with technical expertise in cutting-edge techniques, defining vision across the organisation
 </li>
 <li>
 Communicates with senior stakeholders and convince them of the strategic value of applying data science
 </li>
 <li>
 Stay connected with external sources of ideas through conferences and community engagements
 </li>
 </ul>
 
 &nbsp;
 
 
 AUTHORITY/ DECISION MAKING:
 
 <ul>
 <li>
 Thinking within broadly defined policies, standards and objectives. The determination of &ldquo;what needs to be done&rdquo; in applying polices is largely left up to the incumbent who must establish the plan, determine the priorities and prescribe the processes needed to achieve the objectives
 </li>
 <li>
 Subject to general direction and broadly defined functional policy objectives. Actions which will impact other functional or operating areas usually require approval before they may be implemented.
 </li>
 </ul>
 
 &nbsp;
 
 
 QUALIFICATIONS &amp; SKILLS:
 
 
 Qualifications
 
 <ul>
 <li>
 MS or PhD in Data Science, Computer Science, Engineering, Statistics.
 </li>
 <li>
 Programming languages knowledge, ideally in Python, R and SQL
 </li>
 </ul>
 
 &nbsp;
 
 
 Minimum Experience and Domain knowledge
 
 <ul>
 <li>
 10+ years&rsquo; of relevant experience in a statistical and data science role
 </li>
 <li>
 Should have Domain expertise and knowledge in Metal &amp; Mining or Energy or a combination of both industries and can communicate the business benefit of data science products, championing and governing these across the organisation. Communicates relevant, compelling stories in the most appropriate medium and ensures that data governance and data ethics are embedded in organisational strategy. Expert in aligning data science priorities with wider organisational objectives - for example, budget.
 </li>
 <li>
 Practices applied maths, statistics, and scientific practices, knows how to develop deeper expertise on a narrower range of specialisms and can start to apply emerging theory to practical situations.
 </li>
 <li>
 Proficiency working with Data Frames and writing complex SQL queries
 </li>
 <li>
 Proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
 </li>
 <li>
 Proven ability to merge and transform disparate internal &amp; external data sets together to create new features&nbsp;
 </li>
 <li>
 Experience of visualizing/presenting data for stakeholders using: Tableau, R Shiny, Plotly, Power BI, Periscope, Business Objects, D3, ggplot etc.
 </li>
 <li>
 Practices different Programming languages and knows how to develop, code, test, correct and document simple programs or scripts part of a multidisciplinary team. Knowledge of additional programming languages is a plus (C++, Java, SPSS, SAS, Scala)
 </li>
 <li>
 Strong knowledge of one or more data science or decision science domains (e.g. explainable artificial intelligence, econometrics, deep learning, Natural Language Processing, time series forecasting, deployment, causal inference, uplift modelling, and/or optimization)
 </li>
 <li>
 Expert working with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Leads ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business.
 </li>
 <li>
 Understands and can help teams apply a range of techniques to analyse data and provide insight across the product life cycle (data science). Proactive and can present compelling findings that inform wider decisions and applies innovative approaches to resolve problems.
 </li>
 <li>
 Knowledge of distributed computing or NoSQL technologies is a bonus
 </li>
 <li>
 Experience in automation &amp; control system and training in similar fields is valued.
 </li>
 </ul>
 
 &nbsp;
 
 
 Agile/Digital Experience
 
 <ul>
 <li>
 Experience of working with large data sets relational databases (SQL), simulation/ optimization and distributed computing tools (MapReduce, Hadoop, Hive, Spark, MySQL, H20.ai, Cloud AI platforms, containerization etc.) is desired.
 </li>
 <li>
 Experience with supporting deployment, monitoring, maintenance and enhancement of models desired
 </li>
 </ul>
 
 &nbsp;
 
 
 Individual Skills
 
 <ul>
 <li>
 Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
 </li>
 <li>
 Bias for action, with ability to deliver outstanding results through task prioritization and time management
 </li>
 <li>
 Demonstrated ability to efficiently learn and solve new business domains and problems
 </li>
 <li>
 Number sense; healthy skepticism around validity of data and its inherent biases
 </li>
 </ul>
 
 &nbsp;
 
 
 Mindset &amp; Behaviors
 
 <ul>
 <li>
 Intellectual curiosity to understand and answer questions
 </li>
 <li>
 Intellectual humility to leverage the expertise of others
 </li>
 <li>
 Exemplary organizational skills with attention to detail &amp; accuracy
 </li>
 <li>
 Ability to coach, mentor, and collaborate with squad members
 </li>
 </ul>
</div>

Principal Data Scientist

<div>
 
 
 Company Overview:
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a seasoned and visionary Lead, AI &amp; Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed.
 
 
 You will play a pivotal role in building and scaling the AI &amp; Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Strategic &amp; Technical Leadership
 
 
 <ul>
 <li>
 Define and lead the
 
 AI &amp; Data Science vision and roadmap
 
 , aligned with business priorities.
 </li>
 <li>
 Provide
 
 technical oversight
 
 for AI initiatives across domains:
 </li>
 <li>
 
 Generative AI &amp; LLMs
 
 (fine-tuning, RAG pipelines, multi-agent systems).
 </li>
 <li>
 
 Predictive Analytics &amp; Time-Series Modeling
 
 .
 </li>
 <li>
 
 Computer Vision &amp; Multimodal AI
 
 .
 </li>
 <li>
 
 Reinforcement Learning &amp; Optimization
 
 .
 </li>
 <li>
 
 Knowledge Engineering &amp; Semantic Search
 
 .
 </li>
 <li>
 
 Edge AI &amp; Real-Time AI Deployments
 
 .
 </li>
 <li>
 Act as the
 
 architect and reviewer
 
 of AI systems, ensuring scalability, robustness, and compliance.
 </li>
 <li>
 Guide the adoption of
 
 MLOps best practices
 
 (CI/CD for ML, monitoring, retraining, governance).
 </li>
 <li>
 Drive innovation while balancing
 
 pragmatism and production readiness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Team Development
 
 
 <ul>
 <li>
 Build and grow a
 
 world-class AI &amp; Data Science team
 
 , including
 
 hiring, onboarding, and performance management
 
 .
 </li>
 <li>
 Mentor and coach team members to elevate technical depth and problem-solving skills.
 </li>
 <li>
 Create
 
 career development plans, learning paths, and certification opportunities
 
 for the team.
 </li>
 <li>
 Foster a culture of
 
 collaboration, experimentation, and continuous improvement
 
 .
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Representation
 
 
 <ul>
 <li>
 Work closely with
 
 Product Managers, Solution Architects, and Engineering Leads
 
 to embed AI across the product suite.
 </li>
 <li>
 Translate business challenges into
 
 scalable, impactful AI solutions
 
 .
 </li>
 <li>
 Represent the department in
 
 industry conferences, technical forums, and client engagements
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in AI/ML, including at least 3 years in a
 
 technical leadership or team lead role
 
 .
 </li>
 <li>
 Strong knowledge (architectural &amp; practical) of:
 </li>
 <li>
 
 LLMs, RAG, and AI Agents
 
 .
 </li>
 <li>
 
 Predictive analytics &amp; time-series forecasting
 
 .
 </li>
 <li>
 
 Computer vision, multimodal learning, and geospatial AI
 
 .
 </li>
 <li>
 
 Reinforcement learning and optimization techniques
 
 .
 </li>
 <li>
 
 MLOps practices &amp; data pipelines
 
 .
 </li>
 <li>
 Ability to
 
 review code, design architectures, and guide technical teams
 
 .
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 digital twins, IoT/OT data, and smart systems
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases.
 
 </li>
 <li>
 Knowledge of
 
 AI ethics, explainability, and regulatory compliance
 
 .
 </li>
 <li>
 Experience representing organizations at
 
 global conferences and industry summits
 
 .
 </li>
 </ul>
 
 
 
 
 
 Career Development &amp; Opportunities
 
 
 <ul>
 <li>
 Build and scale your own
 
 AI &amp; Data Science team
 
 .
 </li>
 <li>
 Define
 
 career plans and growth frameworks
 
 for your team members.
 </li>
 <li>
 Access to
 
 continuous training, certifications, and skill development programs
 
 .
 </li>
 <li>
 Opportunities to
 
 attend and present at global AI/tech events
 
 .
 </li>
 <li>
 Collaborate with
 
 top-tier technology partners and thought leaders
 
 .
 </li>
 </ul>
 
 
</div>

Lead AI & Data Science

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

<div>Key Accountabilities:
<ul><li>Identify, design and manage the building of an AI Governance framework in collaboration with central team including AI policies, standards, and procedures.
</li><li>Design and build AI Governance processes to ensure compliance and speed of innovation within the Center of Excellence
</li><li>Lead responsible AI solution design ensuring AI Governance framework requirements are embedded into solutions upfront in collaboration with the AI business, and technical teams
</li><li>Lead the development of a responsible AI strategy, including the creation of frameworks and principles that embed key design elements such as anonymization, access control, and guidelines for third-party partners and vendors
</li><li>Lead the design of responsible AI within AI and data Infrastructure e.g. data governance, IT infrastructure, HW and software considerations.
</li><li>Develop and implement risk management processes for AI projects, identifying potential risks, evaluating their impact, and designing mitigation strategies.
</li><li>Collaborate with IT, business units, cyber security, legal, data and data science teams to champion AI governance across the company.
</li><li>Oversee data classification, access control, and data security practices for AI solutions in collaboration with data governance team
</li><li>Monitor and report on AI governance metrics and Center of Excellence performance
</li><li>Develop a plan and facilitate continuous increase in responsible AI capability e.g. ensuring all staff have basic understanding of AI governance framework, principles and design standards
</li><li>Stay abreast of industry best practices and regulatory requirements concerning data and AI governance.
</li><li>Act as a subject matter expert and advisor to senior leadership on Responsible AI issues and trends.
</li><li>Communicate the AI Governance framework across the corporate
</li><li>Lead the change management regarding incorporating AI Governance Framework adoption
</li><li>Lead or contribute to research and innovation projects focused on advancing Responsible AI.
</li></ul>Qualifications, Experience and Skills:
Qualifications :
<ul><li>Advance degree (Masters/PhD) in law, business law, or business, engineering, Computer Science, Data Science, Ethics, IT, or a related field.
</li><li>Preferably: Track record of continuous education/learning in areas such as big data, analytics, data science, ML, AI or digital transformation
</li></ul>Experience:
<ul><li>10+ Proven experience working in business focused governance, audit, regulatory and security dimensions from role that require both design in a business context and control
</li><li>5+ experience within GCC region ideally from Telco
</li><li>Strong analytical and problem-solving skills with a track record of building business centric solutions
</li><li>Strong understanding of data governance frameworks and methodologies.
</li><li>Experience in developing and implementing data policies, standards, and procedures.
</li><li>Experience in fostering a collaborative and results-oriented team environment.
</li><li>Excellent communication, collaboration, and influencing skills to effectively manage stakeholders across all levels of the organization.
</li><li>Demonstrated leadership skills to champion data governance initiatives and drive program adoption.
</li></ul>Skills
<ul><li>Excellent communication, collaboration, and influencing skills.
</li><li>Ability to lead and motivate cross-functional teams.
</li><li>Experience with data governance tools and technologies a plus.
</li><li>Understanding of AI governance principles and best practices preferred.</li></ul></div>

Director Responsible AI

oryxsearch.io

<div>
 
 
 Role: Senior/Lead- AI/ML Scientist &ndash; Personalization &amp; GenAI (Dubai based)
 
 
 
 
 
 
 Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you&rsquo;ll help define the future of personalization and user engagement using Generative AI and advanced machine learning.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end AI transformation focused on personalization in a consumer-facing application.
 </li>
 <li>
 Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI.
 </li>
 <li>
 Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements.
 </li>
 <li>
 Design and deploy data/ML instrumentation to extract insights and optimize the product experience.
 </li>
 <li>
 Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses.
 </li>
 <li>
 Build and scale machine learning algorithms and pipelines to production using big data technologies.
 </li>
 <li>
 Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications.
 </li>
 <li>
 Design and evaluate A/B tests and communicate results across cross-functional teams.
 </li>
 <li>
 Define, implement, and monitor key performance metrics for AI-driven product features.
 </li>
 <li>
 Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data.
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred)
 </li>
 <li>
 Deep experience in personalization, search, or recommendation systems (3&ndash;4 years in a product-focused environment).
 </li>
 <li>
 Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models).
 </li>
 <li>
 Hands-on experience with LLMs and GenAI technologies.
 </li>
 <li>
 Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive.
 </li>
 <li>
 Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design.
 </li>
 <li>
 Solid background in ranking, recommendation, and retrieval systems.
 </li>
 <li>
 Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.).
 </li>
 <li>
 Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy.
 </li>
 <li>
 Bonus: Experience with geospatial data and advanced analytics platforms.
 </li>
 </ul>
 
 
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Senior / Lead AI Scientist (Personalisation & GenAI)

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