director of data science

Careem

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div><h2 class="jobSectionHeader">
About the Role</h2>

The Director of Data Science (ML) leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.

You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.<h2 class="jobSectionHeader"> 
</h2>
<h2 class="jobSectionHeader">What you'll do</h2>
<h3 class="jobSectionHeader">1. Strategic Leadership</h3>
Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals. 
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Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI. 
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Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation. 
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Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities. 
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</ul><h3 class="jobSectionHeader">2. Team Leadership &amp; Development</h3>
Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains. 
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Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate. 
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Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact. 
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Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization. 
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</ul><h3 class="jobSectionHeader">3. Technical &amp; Operational Excellence</h3>
Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring. 
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Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale. 
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Define and oversee the technical AI roadmap and direction for the team. 
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Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies. 
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Champion MLOps and automation to reduce experimentation-to-production cycle time. 
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</ul><h3 class="jobSectionHeader">4. Product Impact &amp; Delivery</h3>
Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes. 
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Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems). 
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Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting. 
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Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision. 
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</ul><h3 class="jobSectionHeader">5. Cross-Functional Influence</h3>
Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions. 
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Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy. 
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<li>Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.</li> 
</ul>
<h2 class="jobSectionHeader">What you'll need</h2>
10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams. 
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Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection). 
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Advanced degree in Computer Science, Machine Learning, or related field. 
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Demonstrated ability to translate complex ML concepts into strategic business impact. 
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Strong stakeholder management and communication skills across technical and non-technical domains. 
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<li>Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.</li></ul> 

<h2 class="jobSectionHeader">
What we&rsquo;ll provide you</h2>

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div>

Director of Data Science

Cognizant Technology Solutions

<div>Job description: Director of Data Analytics, Generative AI, and Research (20+ years of experience)
Level: Director
Location: Hyderabad
Summary
We are seeking a highly seasoned and visionary Director of Data Analytics with over 20 years of experience to lead our analytics, research, and Generative AI initiatives. The ideal candidate is an established leader with a deep foundation in statistics and quantitative research, and a proven track record of implementing large-scale, enterprise-level data strategies. You will be responsible for defining the future of our data ecosystem, integrating advanced Generative AI and Large Language Models (LLMs) into our core business functions, and driving a culture of data-driven innovation.
Key responsibilities<ul><li>
Strategic leadership and vision: Set the long-term strategic direction for all data analytics, research, and Generative AI efforts, aligning them with overall business objectives and digital transformation goals.</li><li>
Generative AI and LLM implementation: Lead the evaluation, integration, and deployment of Generative AI and Large Language Models to create new business value, enhance decision-making, and automate complex processes.</li><li>
Advanced statistical research: Oversee a team of quantitative researchers and statisticians to conduct deep-level research, leveraging a strong background in statistical modeling, experimental design, and predictive analytics.</li><li>
Team building and mentorship: Recruit, lead, and mentor a high-performing team of data scientists, data engineers, and analysts, fostering a collaborative and growth-oriented environment.</li><li>
Executive communication: Act as a key advisor to C-level leadership and the board, translating complex analytical findings and AI capabilities into clear, actionable business strategies and compelling data stories.</li><li>
Data governance and ethics: Establish and enforce robust data governance policies, ensuring the ethical and responsible use of AI, data privacy compliance (e.g., GDPR, CCPA), and data integrity across the organization.</li><li>
Cross-functional collaboration: Partner with departments such as marketing, product, and engineering to embed a data-first mentality and drive the adoption of analytics and AI tools across the enterprise.</li><li>
Technology oversight: Guide the architectural design and management of the data infrastructure, including data warehouses, data lakes, and modern cloud-based platforms, to support scalable AI and analytics operations.</li><li>
Innovation and staying current: Monitor industry trends and emerging technologies in Generative AI, machine learning, and advanced analytics to ensure the company remains at the forefront of data-driven innovation.
</li></ul>Qualifications<ul><li>
A Master's degree or Ph.D. in Statistics, Mathematics, Operations Research, Computer Science, or a related quantitative field.</li><li>
20+ years of progressive experience in data analytics, data science, and quantitative research, with a minimum of 10 years in a senior leadership or director-level role.</li><li>
Extensive, hands-on experience with Generative AI and Large Language Models, including practical applications and strategic implementation.</li><li>
Deep expertise in statistical analysis, machine learning algorithms, and research methodologies.</li><li>
Proven success in building, leading, and mentoring large data and analytics teams.</li><li>
Comprehensive knowledge of data governance, data privacy, and AI ethics frameworks.</li><li>
Exceptional communication and presentation skills, with the ability to influence senior executives and engage technical and non-technical audiences.</li></ul>
Proficiency in modern data analytics tools and programming languages such as Python, SQL, and experience with cloud platforms (e.g., AWS, Azure, GCP).</div>

AIA - Data Analytics - Director

Client of Involved Solutions

We have partnered with a Tier-1 Fintech organisation in the UAE to appoint a Head of Data Science. This strategic leadership role will oversee the growth of the data science function and embed AI/ML capabilities across the business. About the role: <ul> <li>Lead and scale a high-performing data science team across multiple fintech domains.</li> <li>Define and deliver the data science strategy in alignment with business goals.</li> <li>Oversee the development of AI/ML models in fraud detection, credit scoring, and customer personalisation.</li> <li>Partner with C-suite stakeholders to ensure AI is embedded into product design and decision-making.</li> <li>Build strong governance, ensuring compliance with data privacy and regulatory standards.</li> </ul> About you: <ul> <li>PhD or Masters in Computer Science, AI, or a quantitative discipline.</li> <li>12+ years of experience, with at least 5 in leadership roles within data/AI.</li> <li>Track record of delivering large-scale AI initiatives in fintech or financial services.</li> <li>Strong leadership and people management skills, with experience scaling data teams.</li> <li>Deep understanding of AI/ML frameworks, cloud platforms, and modern data architectures.</li> </ul>

Head of Data Science

SymphonyAI

<div>Introduction:
<div>
About Us:</div><div> 
SymphonyAI is a leading enterprise AI solutions provider empowering retailers and manufacturers to optimize business operations through customer insights. Our innovative technology and strategic collaboration position us as a preferred partner for leading retailers and manufacturers globally.</div>
Job Description:

About the role:<ul><li> 
Strategic Leadership:</li><li><ul><li>
Lead and develop the Data Science and ML Engineering teams to deliver actionable business insights and production-grade ML solutions.</li><li>
Collaborate with senior leadership to define the analytics and AI roadmap aligned to retail business priorities (pricing, promotions, assortment, personalized marketing, and customer experience).</li></ul></li><li>
Team Management and Mentoring:</li><li><ul><li>
Build, mentor, and retain a high-performing team of data scientists and machine learning engineers.</li><li>
Foster a culture of innovation, continuous learning, and excellence.</li></ul></li><li>
Solution Design and Delivery:</li><li><ul><li>
Oversee end-to-end delivery of advanced analytics and machine learning projects, from ideation to deployment and ongoing optimization.</li><li>
Architect and implement scalable models for price optimization, promotion effectiveness, assortment planning, demand forecasting, and personalized marketing.</li></ul></li><li>
Hands-on Technical Oversight:</li><li><ul><li>
Guide the team in leveraging modern data science tools and frameworks (Python, R, Spark).</li><li>
Champion the adoption and integration of GenAI (Generative AI) for real-world retail applications (e.g., automated content creation, chatbot solutions, recommendation systems).</li></ul></li><li>
Deployment &amp; Integration:</li><li><ul><li>
Drive best practices for robust model deployment and MLOps, ensuring seamless integration of models into retail software platforms or products.</li><li>
Work closely with product and engineering teams to operationalize data science solutions at scale.</li></ul></li></ul>
About you: 
<ul><li>
10+ years of industry experience in data science and machine learning; min 3+ years in a leadership role managing data science and/or ML engineering teams.</li><li>
Demonstrated expertise in retail analytics (price optimization, promotion analytics, assortment planning, personalization, customer segmentation, etc.).</li><li>
Advanced degree (PhD/Masters) in Computer Science, Statistics, Mathematics, Data Science, or related field.</li><li>
Extensive hands-on experience in Python (scikit-learn, pandas, TensorFlow/PyTorch), R, and Spark.</li><li>
Proven experience with designing, building, and deploying production-grade ML models and integrating with existing business software/systems.</li><li>
Strong understanding of MLOps, Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is highly desirable.</li><li>
Experience with GenAI frameworks, applications, and responsible AI principles.</li></ul>
About Us:
<div>
What We Offer:</div><ul><li>
Competitive salary and benefits package.</li><li>
Opportunities to work on innovative, cutting-edge technology projects.</li><li>
Supportive, collaborative, and technically enriching work environment.</li><li>
Professional growth and upskilling opportunities.</li></ul></div>

Senior Director, Data Science

AXA UK

Description Are you passionate about harnessing the power of data and AI to make a real difference in healthcare? The Health Data and Analytics team is dedicated to transforming health outcomes through innovative data-driven solutions. Our goal is to optimise operations, improve patient care, and deliver measurable value across the organisation by leveraging advanced analytics, machine learning, and AI techniques. We're committed to building a culture where data is at the heart of decision-making, enabling us to achieve better efficiency, cost savings, and customer outcomes.As the Head of Data Science and AI, you'll be at the forefront of this mission, providing strategic leadership and shaping the future of our data capabilities. You'll set the vision for how AI and machine learning can unlock value across the organisation, develop a clear roadmap to turn that vision into reality, and lead a talented team of data scientists. Your role involves building end-to-end data science solutions, leveraging our cloud-based data lake, and working closely with stakeholders to embed a data-driven approach into every aspect of our work. This is a fantastic opportunity to drive meaningful change and help position AXA as a leader in health data innovation.At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. Responsibilities <ul><li>Lead AXA Health's Data Science team across the full project lifecycle, from ideation to deployment and value realisation, whilst setting strategic vision and developing roadmaps for AI and ML initiatives that maximise customer value and support business objectives.</li><li>Drive a data-driven decision-making culture within the organisation, promoting understanding of the benefits of data and AI, and championing advanced analytics to improve processes and outcomes.</li><li>Develop and implement Data Science and AI strategies aligned with AXA UK and Group goals, fostering innovation through iterative, fail-fast approaches to quickly validate use cases before scaling.</li><li>Collaborate with stakeholders to identify new opportunities for tools, platforms, and initiatives that enhance the business, while actively promoting best practices, reuse, and collaboration within the data science community.</li><li>Support the establishment of the Data and Analytics function, including governance, integration, and alignment with wider business strategies, contributing to its development and maturity.</li><li>Build, lead, and inspire a high-performing data science team by setting objectives, supporting talent development, performance management, and retention.</li><li>Act as a thought leader in the UK and globally, engaging with industry and academia to stay at the forefront of data science advancements and fostering a community of expertise within AXA.</li><li>Advocate and communicate the value of data science to stakeholders, making data-driven recommendations to enhance business processes and strategic decision-making.</li></ul>Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. Qualifications <ul><li>Bachelor's, Master's, or PhD in data science, computer science, mathematics, statistics, operations research, or a related technical field.</li><li>Proven experience in AI, machine learning, data management, or data science roles within large organisations, with a track record of delivering tangible value.</li><li>Significant practical experience in developing data science solutions that have generated meaningful business impact.</li><li>Previous leadership experience, with the ability to inspire and guide a diverse team of data professionals.</li><li>Extensive knowledge of machine learning, statistics, and optimisation techniques.</li><li>Strong strategic thinking, problem-solving skills, and an aptitude for identifying business opportunities through data.</li><li>Understanding of data governance, privacy, and security best practices.</li><li>Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.</li><li>Experience working with large datasets and distributed computing tools such as Python, SQL, Hadoop, Spark, and optimisation software.</li></ul>As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. Benefits What we offer: At AXA UK, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:<ul><li>Competitive annual salary of up to £135,000 dependent on experience</li><li>Annual company & performance-based bonus</li><li>Contributory pension scheme (up to 12% employer contributions)</li><li>Life Assurance (up to 10 x annual salary)</li><li>Private medical cover</li><li>28 days annual leave plus Bank Holidays</li><li>Opportunity to buy up to 5 extra days leave or sell up to 5 days leave</li><li>Wellbeing services & resources</li><li>AXA employee discounts</li></ul>To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to . Who we are At AXA Health, we're passionate about helping our members to put their health first, whether that's individuals and families, small businesses, or huge corporates. From fast access to diagnosis and treatment, to guidance and tools that can help them manage their health every day, not just when there's a problem, our members can be confident we'll guide them, every step of the way.<img src="https://www.jobg8.com/Tracking.aspx?ArXQWHzQuHh3LlaWlZlq%2ft3cNlJ%2b%2bwTQa" width="0" height="0" />

Head of Data Science & AI

<div>
 Job Title: Senior Data ScientistLocation: [Insert Location or mention Remote]Department: Data Science / AnalyticsReports To: Head of Data Science / Director of AnalyticsJob Summary:We are seeking a highly experienced and strategic Senior Data Scientist to join our team. In this role, you will lead complex data science projects, develop advanced machine learning models, and provide actionable insights that directly impact business decisions. You&rsquo;ll work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies and innovation.Key Responsibilities:Lead end-to-end data science projects from problem definition to solution delivery.Design and implement machine learning and statistical models to solve business problems.Analyze large, complex datasets to extract actionable insights and support decision-making.Collaborate with engineering teams to deploy models into production environments.Translate business requirements into data science problems and effectively communicate results to non-technical stakeholders.Mentor and guide junior data scientists, reviewing code and sharing best practices.Continuously evaluate and improve model performance, accuracy, and scalability.Stay updated with the latest research and industry trends in data science and AI.Required Skills and Qualifications:5+ years of experience in data science, machine learning, or applied statistics.Advanced proficiency in Python or R, along with data libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.Strong SQL skills and experience working with large-scale data (structured &amp; unstructured).Experience deploying ML models in production (e.g., using AWS/GCP, Docker, MLflow, etc.).Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis.Strong communication and data storytelling skills.Proven ability to manage multiple projects and stakeholders
</div>

Senior Manager

Domnic Lewis Pvt. Ltd

<div><h2 class="jobSectionHeader">Director &ndash; Real World Statistics</h2>
Domnic Lewis has been mandated to hire for Director &ndash; Real World Statistics
Job Title: Director &ndash; Real World Statistics
Overview: 
As the Director of Real World Statistics, you will focus on applying advanced statistical methodologies to support a rare disease portfolio, with a strong emphasis on disease registry initiatives and regulatory submissions. This role sits within a dedicated Real World Evidence (RWE) capability that combines deep statistical expertise with extensive experience in regulatory applications.
We are seeking a curious, driven, and detail-oriented leader with proven experience in disease registries and longitudinal observational cohorts. You will provide statistical leadership, mentor junior statisticians, and deliver high-quality analyses aligned with regulatory standards.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Design and implement advanced statistical analyses for regulatory submissions using data from disease registries, patient registries, natural history studies, electronic medical records (EMR), and claims data.
</li><li>Collaborate with registry and cross-functional teams to ensure registry-derived analyses support regulatory strategy and compliance.
</li><li>Prepare regulatory-quality deliverables, including statistical analysis plans, reports, and clinical study reports based on registry data.
</li><li>Develop, validate, and apply innovative statistical methodologies for real-world evidence generation from registry and observational data sources.
</li><li>Mentor and guide junior statisticians and data scientists in regulatory-compliant registry data analysis and best practices.
</li></ul><h3 class="jobSectionHeader">Essential Qualifications</h3>
<ul><li>PhD in Biostatistics, Statistics, Epidemiology, Mathematics, Data Science, or a related discipline with 6+ years of experience in the pharmaceutical, biotechnology, or consulting industry; 
OR 
Master//'s degree in a relevant field with 10+ years of industry experience.
</li><li>Strong analytical, problem-solving, and communication skills.
</li><li>Ability to collaborate effectively in a matrix environment and maintain consistent availability during standard business hours.
</li></ul><h3 class="jobSectionHeader">Desirable Qualifications</h3>
<ul><li>Hands-on technical expertise in statistical programming (R, SAS, SQL) and familiarity with regulatory-compliant programming standards.
</li><li>Proven track record of successful regulatory submissions utilizing registry or real-world data.
</li><li>In-depth understanding of regulatory standards and frameworks, including ICH guidelines, FDA Real-World Evidence Framework, and EMA guidance on registry-based studies.
</li><li>Expertise in registry-based regulatory submissions and natural history studies.
</li><li>Demonstrated ability to build and maintain strong relationships with regulatory authorities and lead multi-disciplinary statistical projects focused on regulatory outcomes.</li></ul></div>

Director – Real World Statistics

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