business analyst

data engineer

data scientist

estimation engineer

senior architect

senior data scientist

MultiBank Group

<div><p>Welcome to <b>MultiBank Group</b>, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.</p><p>
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.</p><p><b>
Role Overview</b></p><p>
We are seeking a Senior Data Scientist to join our AI and Machine Learning team. The role sits at the intersection of machine learning, computer vision, and large language models, with a focus on delivering production-grade intelligent solutions within a fintech environment. The successful candidate will contribute to AI strategy, lead end-to-end model development, and work closely with cross-functional teams across data engineering, software engineering, and business functions.</p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design, develop, and evaluate data-driven algorithms across classification, detection, segmentation, regression, and anomaly detection, applying both classical and deep learning approaches. Rapidly prototype solutions and evaluate their performance against business objectives</p></li><li><p>
Prototype and assess LLM-based and multimodal systems for document understanding, knowledge extraction, information retrieval, and workflow automation, including fine-tuning foundation models, building RAG pipelines, and extending models for domain-specific applications</p></li><li><p>
Design and implement agentic AI systems including task-oriented agents, workflow orchestrators, tool-using agents, and autonomous reasoning frameworks. Translate complex business workflows into reliable, observable, and maintainable AI-driven pipelines</p></li><li><p>
Own the full machine learning lifecycle from data collection, preparation, and cleaning through model training, evaluation, deployment, and ongoing production maintenance. Champion best practices in MLOps, versioning, and reproducibility</p></li><li><p>
Contribute to solution architecture and collaborate closely with data engineers, software engineers, and domain experts to integrate AI-enabled products into existing systems</p></li><li><p>
Establish robust monitoring frameworks to evaluate AI solution performance post-deployment. Proactively identify data quality issues, model drift, and performance degradation, and drive continuous improvement initiatives</p></li><li><p>
Stay current with advances in AI research, mentor junior data scientists, contribute to internal knowledge sharing, and support the broader AI community of practice within the organization</p></li></ul><p><b>
Requirements</b></p><ul><li><p>
5 to 10 years of hands-on experience in classification, detection, and segmentation using both classical and deep learning approaches, applied to real-world, production-grade problems</p></li><li><p>
Proven track record of developing, deploying, and scaling end-to-end ML pipelines in industrial or enterprise contexts</p></li><li><p>
Hands-on experience building and deploying LLM applications including models such as GPT, Llama, Falcon, and Claude, covering fine-tuning, RAG systems, domain adaptation, and multimodal extensions</p></li><li><p>
Experience designing and implementing agentic AI systems including task-oriented agents, workflow orchestrators, or autonomous reasoning frameworks</p></li><li><p>
Experience collaborating in cross-functional teams and communicating technical outcomes to non-technical stakeholders</p></li><li><p>
Strong foundation in applied mathematics, probability, and statistics underlying modern ML and DL methods</p></li><li><p>
Advanced Python programming skills with a focus on clean, production-ready code</p></li><li><p>
Deep knowledge of ML algorithms and DL architectures including CNNs, Transformers, Diffusion models, and Graph Neural Networks</p></li><li><p>
Proficiency in prompt engineering, evaluation frameworks, and structured output design for LLM-based systems</p></li><li><p>
Experience in the fintech sector is a strong advantage</p></li><li><p>
Bachelor's, Master's, or PhD in Computer Science, Applied Mathematics, Statistics, or a related field; strong candidates with equivalent industry experience will be considered</p></li></ul><p><b>
Technical Stack</b></p><ul><li><p><b>
ML Frameworks:</b> PyTorch, TensorFlow, Scikit-learn, XGBoost</p></li><li><p><b>
LLM and Agentic Tooling:</b> LangChain, LlamaIndex, Hugging Face, OpenAI and Anthropic APIs, LangGraph, AutoGen, CrewAI</p></li><li><p><b>
MLOps and Development</b>: ClearML, MLflow, Git, Docker, CI/CD pipelines, PyCharm, Jupyter</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p><i>
Work with one of the world&rsquo;s leading financial derivatives institutions.</i></p></li><li><p><i>
Competitive salary plus performance-based incentives.</i></p></li><li><p><i>
Access to a dynamic, international, and fast-growing environment.</i></p></li><li><p><i>
Strong opportunities for career progression within a global financial group.</i></p></li><li><p><i>
Be part of a business committed to innovation, excellence, and long-term growth.</i></p></li></ul><p><i>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.</i></p><p>
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</p></div>

Senior Data Scientist

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 <br/>
 <br/>
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  In This Role, You'll Help The Team
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You might be a good fit for the role if you have:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills That May Help You In The Role
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What are you waiting for!
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <em>
  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:
 </em>
 reasonable-accommodations@dataiku.com
 <br/>
 <br/>
 <strong>
  Protect yourself from fraudulent recruitment activity
  <br/>
  <br/>
 </strong>
 <em>
  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.
  <br/>
  <br/>
 </em>
</div>


Tamara

<div><p><b>About Us</b></p>
<p>
Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p>
<p>
Tamara is Saudi Arabia&rsquo;s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p>
<p>
We are seeking a highly analytical and technically proficient <b>Credit Risk Data Analyst</b> to support our Portfolio Oversight team. In this role, you will be responsible for managing the health and performance of the credit portfolio. You will not only build the &quot;Single Source of Truth&quot; for risk data but also translate complex datasets into actionable strategies for underwriting, limit management, and loss forecasting.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li>Develop Portfolio Monitoring reports for internal and external communications</li>
<li>Design and optimize data-driven credit strategies, including underwriting criteria, credit limit assignments, risk-based pricing &amp; merchant risk strategy</li>
<li>Conduct deep-dive analysis on risk exposure versus profitability to identify opportunities for product expansion or de-risking.</li>
<li>Develop and track Early Warning Indicators to detect abnormal risk trends and shifts in macroeconomic conditions</li>
<li>Conduct rigorous A/B testing to verify hypotheses and evaluate the impact of strategy changes on portfolio profitability and delinquency</li>
<li>Assess business operations &amp; market trends to enhance competitive positioning</li>
<li>Build and optimize automated data pipelines to enhance the efficiency and scalability of risk monitoring</li>
<li>Perform continuous system analysis to identify data inconsistencies and drive initiatives that elevate data governance standards</li>
<li>Partner with Cross-functional teams (Data Science, Data, Finance, Product, Technology teams) to ensure credit risk data is correctly accounted in reporting</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Requirements</b></h3>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Statistics, Data Science, Math, Quantitative Finance, or Related fields).</li>
<li>3+ years of post qualification experience handling analytics and/or credit risk.</li>
<li>Strong analytical skills &amp; experience in data management</li>
<li>Prior Experience in Retail/SME Banking, Fintech, or Credit Ratings is a plus</li>
<li>Familiarity with the end-to-end credit life cycle, including anti-fraud, collections, merchant health and post-loan management</li>
<li>Proficiency in SQL, Excel (Advanced/VBA), PPT, Tableau &amp; Python(optional)</li>
</ul><ul><li>Exceptional attention to detail with the ability to identify data anomalies quickly.</li>
<li>Effective communication skills to present technical insights to non-technical business partners</li>
<li>Ability to navigate ambiguity, develop testable hypothesis &amp; drive actionable insights</li></ul></div>

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  We&rsquo;re looking for a hands-on Senior Data Scientist / ML Engineer to help build and deploy scalable machine learning solutions across financial products.
 </p>
 <p>
  This is a practical, business-focused role for someone who enjoys taking models from experimentation through to production and working closely with engineering, product, and business teams to drive measurable impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Do:
 </p>
 <ul>
  <li>
   Build and deploy machine learning models for real-world business problems
  </li>
  <li>
   Develop end-to-end ML pipelines including data preparation, training, validation, deployment, and monitoring
  </li>
  <li>
   Work with large and complex datasets to generate actionable insights
  </li>
  <li>
   Partner with engineering teams to productionize models and APIs
  </li>
  <li>
   Collaborate with stakeholders across product, risk, operations, and analytics
  </li>
  <li>
   Improve model performance, reliability, and scalability
  </li>
  <li>
   Contribute to MLOps, automation, and deployment best practices
  </li>
  <li>
   Support AI and advanced analytics initiatives across the business
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Skills &amp; Experience:
 </p>
 <ul>
  <li>
   6+ years of experience in Data Science, Machine Learning, or ML Engineering
  </li>
  <li>
   Strong Python and SQL skills
  </li>
  <li>
   Experience building and deploying ML models into production environments
  </li>
  <li>
   Strong understanding of machine learning fundamentals and model evaluation
  </li>
  <li>
   Experience working with cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   Experience with tools/frameworks such as:
  </li>
  <li>
   scikit-learn
  </li>
  <li>
   PyTorch or TensorFlow
  </li>
  <li>
   Spark or Databricks
  </li>
  <li>
   Docker / CI-CD pipelines
  </li>
  <li>
   Experience building APIs or production services
  </li>
  <li>
   Ability to work with both technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Preferred:
 </p>
 <ul>
  <li>
   Banking, fintech, or financial services experience
  </li>
  <li>
   Experience with customer analytics, fraud, or decisioning models
  </li>
  <li>
   Familiarity with MLOps and model monitoring
  </li>
  <li>
   Exposure to NLP, LLMs, or Generative AI use cases
  </li>
  <li>
   Experience with Airflow, MLflow, Kubernetes, or Hadoop ecosystems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We value people who:
 </p>
 <ul>
  <li>
   Take ownership and solve problems end-to-end
  </li>
  <li>
   Can balance experimentation with production delivery
  </li>
  <li>
   Think commercially and focus on business outcomes
  </li>
  <li>
   Communicate clearly and work well across teams
  </li>
  <li>
   Enjoy building scalable, reliable systems
  </li>
 </ul>
 <p>
  Tech Environment
 </p>
 <p>
  Python &bull; SQL &bull; Databricks &bull; Spark &bull; Docker &bull; APIs &bull; Cloud Platforms &bull; MLflow &bull; CI/CD &bull; Power BI
 </p>
 <p>
 </p>
</div>


Data Scientist

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Data Science</div></div></div><div><div>
Permanent</div></div><div><div>
Dubai</div></div><div><div><div>
<p>
We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Middle East &amp; Africa exciting and diverse landscape.</p>
<p>
You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.</p>
<p>
The Business Analytics team is part of Spotify&rsquo;s core business strategy organization. You&rsquo;ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.</p>
<p>
At your fingertips, you&rsquo;ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!</p>
</div></div></div></div><div><div><p>
What You'll Do
</p><ul><div><ul><li>Develop data driven strategies to drive the growth of Spotify users and subscribers</li>
<li>Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth</li>
<li>Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization</li>
<li>Build scalable data pipelines and dashboards to facilitate business performance tracking</li>
<li>Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth</li>
<li>Design and implement comprehensive tests, making sure that we track all relevant metrics and that we&rsquo;re learning at every step along the way</li>
<li>Present your findings to senior collaborators, influencing the course of our business</li>
</ul>
</div></ul></div></div><div><div><p>Who You Are</p><ul><div>
<ul>
<li>You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL</li>
<li>Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus</li>
<li>Experience with AI tools (LLMs and coding assistants) is a plus</li>
<li>Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data</li>
<li>Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations</li>
<li>Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field</li>
<li>Comfortable working on a globally distributed team (with occasional international travel)</li>
<li>Relevant experience in a consumer tech/product company is a plus</li>
</ul>
</div></ul></div></div><div><div><p>Where You'll Be
</p><ul><ul><li>This role will be based at Spotify&rsquo;s office in Dubai</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>
</ul></ul></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

<div>
 We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Asia Pacific&rsquo;s exciting and diverse landscape.
 <br/>
 <br/>
 You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.
 <br/>
 <br/>
 The Business Analytics team is part of Spotify&rsquo;s core business strategy organization. You&rsquo;ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.
 <br/>
 <br/>
 At your fingertips, you&rsquo;ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Develop data driven strategies to drive the growth of Spotify users and subscribers
  </li>
  <li>
   Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth
  </li>
  <li>
   Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization
  </li>
  <li>
   Build scalable data pipelines and dashboards to facilitate business performance tracking
  </li>
  <li>
   Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth
  </li>
  <li>
   Design and implement comprehensive tests, making sure that we track all relevant metrics and that we&rsquo;re learning at every step along the way
  </li>
  <li>
   Present your findings to senior collaborators, influencing the course of our business
   <br/>
   <br/>
  </li>
 </ul>
 Who You Are
 <br/>
 <br/>
 <ul>
  <li>
   You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL
  </li>
  <li>
   Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus
  </li>
  <li>
   Experience with AI tools (LLMs and coding assistants) is a plus
  </li>
  <li>
   Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
  </li>
  <li>
   Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations
  </li>
  <li>
   Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field
  </li>
  <li>
   Comfortable working on a globally distributed team (with occasional international travel)
  </li>
  <li>
   Relevant experience in a consumer tech/product company is a plus
   <br/>
   <br/>
  </li>
 </ul>
 Where You'll Be
 <br/>
 <br/>
 <ul>
  <li>
   This role will be based at Spotify&rsquo;s office in Dubai
  </li>
  <li>
   We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
 <br/>
 <br/>
 Today, we are the world&rsquo;s most popular audio streaming subscription service.
</div>


Virtusa

<div>
 As the Data Scientist at First Abu Dhabi Bank within the Data &amp; Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes.
 <br/>
 <br/>
 Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
 <br/>
 <br/>
  Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications.
 <br/>
 <br/>
  Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
 <br/>
 <br/>
  Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
 <br/>
 <br/>
  Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
 <br/>
 <br/>
  Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.
 <br/>
 <br/>
  Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or related
 <br/>
 <br/>
 field; Additional Degree or certifications in the field related to data science/Analytics ispreferred.
 <br/>
 <br/>
  Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
 <br/>
 <br/>
  Advanced proficiency in programming languages in SAS Base, EMiner,
 <br/>
 <br/>
  Advanced Hands-on Programming experience in Python.
 <br/>
 <br/>
  Hands on Experience of working on Dataiku Platform for production is required
 <br/>
 <br/>
  Azure Databricks and AWS knowledge is a plus
 <br/>
 <br/>
  Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
 <br/>
 <br/>
  Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
 <br/>
 <br/>
  Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
 <br/>
 <br/>
  SAS, Dataiku certifications would be added advantage.
</div>


Explore 1494+ Senior data scientist in Dubai this June. Find roles across top companies and apply now to boost your career.

1494 senior data scientist jobs In Dubai

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist