data analyst

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Accenture

We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy &amp; Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360  value, enable us to help our clients succeed and build trusted, lasting relationships. We measure our success by the 360  value we create for our clients, each other, our shareholders, partners and communities. About the Role We are seeking a dynamic Data &amp; AI Consultant with strong expertise in applying advanced analytics, artificial intelligence, and machine learning to marketing and business challenges. This role blends technical consulting with marketing strategy , enabling clients to harness data-driven insights and AI-powered solutions to optimize customer engagement, personalize campaigns, and maximize ROI. The ideal candidate is equally comfortable building analytical models as they are advising senior marketing leaders on how to leverage data and AI for growth. Key Responsibilities Consulting &amp; Strategy Partner with clients to understand their business goals, particularly in marketing, customer experience, and digital transformation. Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models). Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance. Data &amp; AI Solutioning Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing). Work with structured and unstructured data to generate insights that inform brand, product, and digital strategies. Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions. Explore and apply Agentic AI frameworks to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases Marketing Analytics &amp; Insights Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis. Build dashboards and visualizations that communicate data-driven stories to marketing and leadership teams. Provide actionable insights that drive customer acquisition, retention, and engagement. Client Engagement &amp; Enablement Act as a trusted advisor to marketing and business stakeholders. Lead workshops and training sessions on AI in marketing (generative AI, personalization, predictive modeling). Stay ahead of AI, data, and marketing technology trends to guide clients on emerging opportunities. 4+ years of work experience. Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI). Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau). Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics). Experience in building Agentic AI systems, conversational AI / AI bots , Prompting Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment. Professional Skills Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders. Strong client-facing consulting experience. Ability to work cross-functionally and manage multiple projects simultaneously. Preferred Background Degree in Data Science, Computer Science, Marketing Analytics, or a related field. Prior experience in consulting, agency, or corporate marketing analytics roles. Familiarity with privacy and ethical AI considerations in marketing. What We Offer Exposure to cutting-edge AI and data projects across industries A collaborative environment with experts in AI, data science, and digital strategy. Ongoing professional development and certification opportunities. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

Data & AI Consultant

Dataiku

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
<ul>
<li>
Co-develop production-level data science projects with our customers
</li>
<li>
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>
Provide data science expertise both to customers and internally to Dataiku s sales and marketing teams
</li>
<li>
Develop custom Python-based plugins in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku s functionality
</li>
</ul>
Technical skills that may help you in the role:
<ul>
<li>
Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>
Experience with Data Engineering or MLOps
</li>
<li>
Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>
Experience building APIs
</li>
<li>
Experience using enterprise data science tools
</li>
<li>
Passion for teaching or public speaking
</li>
</ul>

Senior Data Scientist

Mint Specialist Recruitment Ltd

<div>
 
 We are actively looking to hire a Data Scientist for a global, industry-leading Technology &amp; Strategy Consulting Firm to join their office in Dubai. The ideal candidate is highly analytical, technically skilled, and capable of turning complex data into simple, clear recommendations that drive measurable impact across product, marketing, and strategy functions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with stakeholders across departments to identify opportunities for leveraging data to drive strategic decisions.
 </li>
 <li>
 Mine and analyse data from internal and client databases to improve product development, marketing effectiveness, and business strategy.
 </li>
 <li>
 Assess and validate the effectiveness of new data sources and data gathering techniques.
 </li>
 <li>
 Develop and deploy custom data models and algorithms tailored to company datasets.
 </li>
 <li>
 Use predictive modeling to optimize customer experience, revenue growth, and campaign targeting.
 </li>
 <li>
 Design and implement A/B testing frameworks and evaluate model performance.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate analytical models into operational systems.
 </li>
 <li>
 Build processes and tools to monitor, visualize, and ensure the accuracy of data and model outputs.
 </li>
 </ul>
 
 
 
 
 
 Typical Skills and Background
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Advanced knowledge of statistical and data mining techniques (e.g., regression, decision trees, clustering, neural networks).
 </li>
 <li>
 Proficiency in one or more programming languages such as
 
 Python, C++, or Java
 
 .
 </li>
 <li>
 Strong problem-solving and quantitative skills able to dissect complex issues and identify root causes.
 </li>
 <li>
 Excellent communication skills, capable of explaining technical content clearly to non-technical stakeholders.
 </li>
 <li>
 Strong leadership and collaboration abilities proven track record of building relationships and influencing outcomes.
 </li>
 <li>
 Intellectually curious, results-driven, and comfortable working in fast-paced environments.
 </li>
 </ul>
 
 
 
 
 
 Experience &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics).
 </li>
 <li>
 Master&rsquo;s or Ph.D. degree preferred.
 </li>
 <li>
 3&ndash;5 years of hands-on experience in
 
 mathematical modeling, machine learning, or advanced analytics
 
 .
 </li>
 <li>
 Proven experience handling large datasets and relational databases (e.g., SQL).
 </li>
 <li>
 Prior consulting or cross-functional project experience is a strong advantage.
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Braze

<div><div>At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity &ndash; inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you.</div><ul>
<li>
WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
<ul>
<li>Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration</li>
<li>Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components</li>
<li>Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms</li>
<li>Contribute to shaping OfferFit's product strategy and roadmap through customer-facing insights and technical expertise</li>
<li>Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success</li>
</ul>
WHO YOU ARE
<ul>
<li>Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred</li>
<li>Experience: 3&ndash;5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred</li>
<li>Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment</li>
<li>Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions</li>
<li>Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms</li>
<li>Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value</li>
<li>Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions</li>
<li>Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow</li>
<li>Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences</li>
</ul>
</li></ul><div><div>WHAT WE OFFER 

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
<ul>
<li>Competitive compensation that may include equity</li>
<li>Retirement and Employee Stock Purchase Plans</li>
<li>Flexible paid time off</li>
<li>Comprehensive benefit plans covering medical, dental, vision, life, and disability</li>
<li>Family services that include fertility benefits and equal paid parental leave</li>
<li>Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend</li>
<li>A curated in-office employee experience, designed to foster community, team connections, and innovation</li>
<li>Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching</li>
<li>Employee Resource Groups that provide supportive communities within Braze</li>
<li>Collaborative, transparent, and fun culture recognized as a Great Place to Work&reg;</li>
</ul>
ABOUT BRAZE 
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.&trade; Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

Braze is proudly certified as a Great Place to Work&reg; in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In's Best Places to Work. In 2024, we were included in U.S. News &amp; World Report's Best Companies to Work For (Top 10%) and recognized in Great Place to Work's Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women.
 
Additionally, we were featured in Great Place to Work UK's Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology.

You'll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, S&atilde;o Paulo, Seoul, Sydney and Tokyo &ndash; not to mention our employees in nearly 50 remote locations.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience &ndash; regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you.

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.</div></div></div>

Forward-Deployed Data Scientist, AI Deployment

Krish It Solutions

Consultant who has experience in Business intelligence with handling large number of datas, dashboard, Powerbi or any other tools, presentations skills. 3 to 5 yrs experience is required. Good in communication, preferred immediate joiners. <div>Role: Business Intelligence &amp; Analytics - Other</div><div>Industry Type: IT Services &amp; Consulting</div><div>Department: Data Science &amp; Analytics</div><div>Employment Type: Full Time, Permanent</div><div>Role Category: Business Intelligence &amp; Analytics</div><div>Education</div><div>UG: Graduation Not Required</div>

Business Intelligence

Naffco

<div></div><div>Experience: 5 - 10 yrs. | Opening: 1
 
Education:Any Graduation 
Nationality: Any Nationality 
Industry Type:Industrial Products / Heavy Machinery 
Salary: AED 7,000 - 10,000 ($1,891 - $2,701)
 
Other Benefits:Annual Leaves As Per Labour Law, Medical Insurance, Paid Leaves, Perks &amp; Benefits As Per Labour Law 
Functional Area:ERP / CRM (IT Software) Oct 23,2025 
<div><div>
</div></div><div></div><h3 class="jobSectionHeader">Job Description</h3>
<div>Job Title: Oracle EBS Technical Consultant
Location: NAFFCO HQ, JAFZA, Dubai.
Job Type: Full-Time
Job Summary: We are seeking an experienced Oracle EBS Technical Consultant to join our dynamic team. The ideal candidate will have hands-on experience with Oracle E-Business Suite, focusing on technical configurations, customization, and support. As an Oracle EBS Technical Consultant, you will play a key role in implementing, maintaining, and enhancing Oracle EBS modules for our clients, ensuring the systems run efficiently and effectively to meet business needs.<ul><li> 
Key Responsibilities of this role is for developing, customizing, maintaining and supporting Oracle applications</li></ul> 
Key Responsibilities:<ul><li>
Design, develop, and implement Oracle EBS solutions, focusing on Oracle EBS modules (such as Financials, Supply Chain, HRMS, etc.).</li><li>
Conduct technical assessments and create solutions for customizations and enhancements based on client requirements.</li><li>
Develop and maintain custom reports, interfaces, and data conversions using Oracle tools (e.g., Oracle Reports, Oracle Forms, PL/SQL, OAF, BI Publisher).</li><li>
Perform system integrations between Oracle EBS and third-party applications.</li><li>
Collaborate with functional consultants to translate business requirements into technical specifications and solutions.</li><li>
Participate in the setup, configuration, and testing of Oracle EBS modules.</li><li>
Troubleshoot, diagnose and resolve technical issues in Oracle EBS.</li><li>
Provide post-implementation support and training to clients on EBS system features.</li><li>
Optimize Oracle EBS performance and scalability for better system efficiency.</li><li>
Keep abreast of Oracle EBS updates, new releases, and technical innovations to advise on system upgrades or improvements.</li><li>
Document technical processes, solutions, and user guides.</li></ul>
Required Skills:<ul><li>
In-depth knowledge of Oracle E-Business Suite, including experience with at least one of the core modules (Financials, SCM, HRMS, Procurement, etc.).
</li><li>Technical knowledge in Oracle EBS R12 Standards, Table Structure, Architecture and Database.</li><li>
Strong experience in Oracle development tools such as PL/SQL, Oracle Forms, Oracle Reports, APEX, Reports, Workflow, OAF, BI Publisher, and XML.</li><li>
Expertise in integration and interface development with Oracle EBS, including knowledge of Web Services, APIs, and Data Conversions.</li><li>
Familiarity with Oracle R12 architecture and functionality.</li><li>
Strong problem-solving and debugging skills.</li><li>
Ability to work in both independent and team-oriented environments.</li><li>
Effective communication skills for client interaction and technical documentation.</li></ul>
Desired Skills:<ul><li>
Oracle EBS R12 implementation experience.</li><li>
Familiarity with cloud-based Oracle solutions like Oracle Cloud ERP.</li><li>
Experience with Oracle EBS system upgrades and patches.</li><li>
Knowledge of Oracle EBS security and roles management.</li><li>
Certification in Oracle EBS is a plus.</li></ul>
**Functional Knowledge:**<ul><li>
All Supply Chain Management (SCM) Modules</li><li>
All Finance Modules</li><li>
Human Resources (HR) and Payroll</li></ul>
Educational Requirements:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li><li>
Relevant certifications in Oracle EBS or related technologies are a plus.</li></ul>
Experience:<ul><li>
5 years of experience working as an Oracle EBS Technical Consultant or in a similar technical role with Oracle E-Business Suite.</li></ul>
Benefits:
Insurance , Visa , Medical Insurance 
<ul><li>
</li></ul> 
</div><div>Keyword: Oracle Ebs Technical Consultant,Oracle EBS Consultant,Oracle EBS Specialist,Oracle EBS Developer</div></div>

Oracle EBS Technical Consultant (Dubai)

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Forward-Deployed Data Scientist, AI Deployment

Business Intelligence

Oracle EBS Technical Consultant (Dubai)