senior property consultant

software engineer

data scientist

senior data analyst

senior data engineer

senior research scientist

Siemens Healthineers

<div><div><div><div><div><div><b>Job ID
</b></div><div>479641
</div></div><div><div><b>Posted since
</b></div><div>16-Oct-2025
</div></div><div><div><b>Organization
</b></div><div>Siemens Healthineers
</div></div><div><div><b>Field of work
</b></div><div>Sales
</div></div><div><div><b>Company
</b></div><div>Siemens Healthcare L.L.C.
</div></div><div><div><b>Experience level
</b></div><div>Experienced Professional
</div></div><div><div><b>Job type
</b></div><div>Full-time
</div></div><div><div><b>Work mode
</b></div><div>Office/Site only
</div></div><div><div><b>Employment type
</b></div><div>Permanent
</div></div><div><div><b>Location(s)
</b></div><div><ul><li>Dubai - Dubai - United Arab Emirates
</li></ul></div></div></div></div></div><p></p><div><div><div><div><div><p>Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
</p><p>Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions</p><p></p><p>
Apply now for the position of <b>MR Scientist</b> based in <b>Dubai, UAE</b> to strengthen our MEA (Middle East and Africa) Scientific Partnerships Team, we are looking for a full-time &ldquo;MR Scientist&rdquo; to work closely with our research partners in MEA Zone.
</p><p></p><p>The role includes coordinating and supporting collaborative research activities between Siemens Healthineers and Partner Institutions in the field of Magnetic Resonance Imaging. The role is embedded in our international and interdisciplinary MEA Scientific Partnerships (SP) network. It is strongly supported by the global collaboration teams of the Business Line Magnetic Resonance in Erlangen.</p><p><b>
Tasks and responsibilities:</b></p><ul><li>
Ensure the successful planning, execution and completion of joint research projects (SW and HW) in collaboration with Partner Institutions.
</li><li>You will support the development and deployment of novel imaging sequences, advanced reconstruction techniques and innovative RF technology.</li><li>
You will drive the validation of technical concepts for future product integration, and continuous collection of feedback for prototypes and coordinate communication amongst the participating departments.</li><li>
Proactively support the research community through customer meetings, KOL sites networking and collaborations. Be able to present the SIEMENS research network and the research activities to potential participants, to expand our research footprint</li><li>
Actively contribute to our EMEA expert meetings as part of our large collaboration community and maintain regular contact and contribute to the predevelopment roadmaps of the team in Erlangen.</li></ul><p><b>
Qualifications &amp; Skills:</b></p><ul><li>
You have a master&rsquo;s degree or PhD in MR physics, medical informatics, signal or image processing, biomedical engineering, electrical engineering, or an equivalent discipline.</li><li>
10+ years of experience, including 5 years in a dedicated MR Scientist role</li><li>
You have sound professional/academic experience in the field of MR physics, sequence developing and image reconstruction (C++, IDEA, ICE), signal or image processing (Matlab), RF HW development, data management, data analysis and visualization.
</li><li>Be able to clinically assess the MR images and point out / address image quality issues.
</li><li>You have experience in the design of research/clinical studies and have a significant publication record, including several co-authored articles in peer-reviewed international scientific journals.</li><li>
Excellent communication skills in English (spoken and written). French is a plus.
</li><li>Excellent organizational skills with a high degree of autonomy, process orientation, and attention to detail, while creative at finding solutions through interpersonal communication.</li><li>
Passionate about healthcare innovation.</li><li>
Willingness to travel to support the research community on extended territory of Middle East and Africa.</li></ul><p></p><p><b>
Who we are:</b>
<br>
We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.</p><p></p><p><b>
How we work:</b><br>
When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual&rsquo;s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world&rsquo;s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.</p><p></p><p>
As an equal opportunity employer, we welcome applications from individuals with disabilities.
</p><p>We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities.</p><p><b>
To all recruitment agencies:</b>
</p><div>Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.</div></div></div></div></div></div></div>

MR Scientist

The Boston Consulting Group

<p><span style="font-size: 11px;"><b>What You'll Do</b></span></p> <div> <p>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. </p> <p> </p> </div> <div> <p>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. </p> <p> </p> </div> <div> <p>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. </p> <p> </p> </div> <div> <p>We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: </p> </div> <div> <ul> <li> <p>Comfortable in a client-facing role with the ambition to lead teams </p> </li> <li> <p>Likes to distill complex results or processes into simple, clear visualizations </p> </li> <li> <p>Explain sophisticated data science concepts in an understandable manner </p> </li> <li> <p>Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) </p> </li> <li> <p>Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data </p> </li> <li> <p>Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients </p> </li> <li> <p>Have strong project management skills</p></li></ul> </div> <br> <br> <p><b>What You'll Bring</b></p> <div> <p> <strong>TECHNOLOGIES: </strong> </p> <p> </p> </div> <div> <p>Programming Languages: Python</p></div>

Data Scientist

Accord Business Group

<div>
<div>
<div>
<p> <b>Department/Group: PSD</b></p>
<p> <b>Reporting to: </b>Solution Development Director</p>
</div>
</div>
<p> <b>Position Type: </b>full-time</p>
<p> </p>
</div>
<p> <b>Essential Duties &amp; Key Responsibilities:</b> </p>
<ul>
<li>Support the team as they identify business problems and develop an offering vision. Support to include planning, research, and development of POCs.</li>
<li>Collaboratively translate business requirements into functional specifications. Produce appropriate documentation and actively participate in developing technology and workflow solutions.</li>
<li>Able to solve complex data science problems   including problem framing, data preparation, model building, model deployment, model management, and output consumption</li>
<li>Strong data management skills for data extraction from relational databases, NoSQL databases, flat files,   and data preparation, data quality assessment, and structuring the modeling data mart</li>
<li>Strong fundamentals of applied data science in a business setting</li>
<li>Strong analytical and problem-solving skills required, including a thorough understanding of how to interpret customer business needs and translate them into solution and operational requirements</li>
<li>Hands-on experience building and implementing predictive models using machine learning algorithms   R or Python Language</li>
<li>Gathering business requirement and converting to technical design</li>
<li>Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability</li>
<li>Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world</li>
<li>Verifying data quality, and/or ensuring it via data cleaning</li>
<li>Supervising the data acquisition process if more data is needed</li>
<li>Finding available datasets online that could be used for training Defining validation strategies</li>
<li>Defining the pre-processing or feature engineering to be done on a given dataset</li>
<li>Defining data augmentation pipelines</li>
<li>Training models and tuning their hyperparameters</li>
<li>Analyzing the errors of the model and designing strategies to overcome them</li>
<li>Coding and Deploying models to production</li>
<li>Testing the performance of the models</li>
<li>Working with integration team and source systems team for seamless integration of data from source system.</li>
<li>Perform ETL data flow, source-target data mapping and creation of Data Mart, Data Model and staging area for data loading.</li>
<li>Strong customer interaction experience</li>
</ul>
<p> <b>Job Specifications </b> </p>
<ul>
<li>7+ yrs. of experience in advanced analytics and predictive modeling (related to Telecom CVM Analytics) and in real-world business experience in a data science role</li>
<li>Ability to understand/translate customer business needs into data requirements and analytical techniques</li>
<li>Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis. Fluency in SQL is required.</li>
<li>Covering the areas of full Analytics life cycle, from data preparation to advanced analytics predictive modelling, AI and dynamic dashboards for data visualization and ML-Ops</li>
<li>Telecom experience is required at least 4 years</li>
<li>High communication skills, Ability to communicate with and instruct people with various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users</li>
<li>Have excellent programming skills</li>
<li>Have excellent English oral and written skills</li></ul>

Senior Data Scientist

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  Principal Data Scientist &ndash; Cyber Security | Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
  <strong>
   Principal Data Scientist
  </strong>
  . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
  <strong>
   AI, data, and cyber security
  </strong>
  , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
  </li>
  <li>
   Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
  </li>
  <li>
   Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
  </li>
  <li>
   Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
  </li>
  <li>
   Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   <strong>
    10+ years of experience
   </strong>
   in data science, machine learning, or applied AI, with a focus on hands-on technical work.
  </li>
  <li>
   Strong background in
   <strong>
    cyber security
   </strong>
   , ideally with experience in malware analysis, SOC operations, or threat intelligence.
  </li>
  <li>
   Proven record of building
   <strong>
    production-grade ML systems
   </strong>
   and data architectures.
  </li>
  <li>
   Advanced proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    TensorFlow/PyTorch
   </strong>
   , and distributed data technologies (Spark, Kubernetes, etc.).
  </li>
  <li>
   Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
  </li>
  <li>
   Strong communicator and problem-solver, able to operate both strategically and technically.
  </li>
 </ul>
 <li>
 </li>
 <p>
 </p>
</div>


Principal Data Scientist

Splash Software

<div><p><b>About the Role</b>
</p><p>We are seeking a highly motivated<b> </b>Data Scientist <b>with extensive experience in Online Gaming Industry </b>to join our team and drive data-driven decision-making through advanced analytics and machine learning models. The ideal candidate will have a strong technical background, a passion for uncovering insights from complex datasets, and the ability to collaborate with cross-functional teams to solve business challenges.
</p><p></p><p><b>Key Responsibilities</b>
</p><ul><li>Design and implement machine learning models to predict trends, detect anomalies, and uncover actionable insights.
</li><li>Analyze structured and unstructured datasets to identify patterns and opportunities for optimization.
</li><li>Develop predictive models and algorithms for key business use cases, such as risk management, forecasting, and segmentation.
 </li><li>Collaborate with data engineers and analysts to ensure data readiness for analysis and model deployment.
 </li><li>Use statistical techniques to validate hypotheses, assess model performance, and improve decision-making processes.
 </li><li>Create and present data-driven insights and recommendations to stakeholders in a clear and compelling manner.
 </li><li>Deploy, monitor, and refine models in production environments to ensure scalability and reliability.
 </li><li>Stay updated on the latest advancements in data science and machine learning, incorporating best practices into projects.
</li></ul><p><b>Qualifications</b>
</p><ul><li>Masters degree in Mathematics or Statistics.
</li><li>Proven experience as a Senior Data Scientist, with expertise in building and deploying machine learning models.
</li><li>Proficiency in Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li><li>Strong knowledge of statistical methods, data modeling, and hypothesis testing.
</li><li>Experience working with large-scale data in environments such as Elasticsearch or SQL databases.
</li><li>Familiarity with data visualization tools (e.g., Kibana, Tableau, or Matplotlib) for presenting insights.
 </li><li>Excellent problem-solving and analytical skills with attention to detail.
</li><li> Strong communication skills, with the ability to translate complex data findings into actionable insights for non-technical stakeholders.
</li><li><b>Experience in the Online Gaming Industry is a Must.</b>
</li></ul><p></p><p><b>Preferred Skills</b>
</p><ul><li>Hands-on experience with anomaly detection and forecasting models.
</li><li>Knowledge of big data tools and frameworks (e.g., Hadoop, Spark).
</li><li> Familiarity with MLOps practices and tools for deploying and managing machine learning models in production.
 </li><li>Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows.
 </li><li>Understanding of Elasticsearchs machine learning capabilities is a plus.</li></ul></div>

Data Scientist- Online Gaming Experience

careem

<p><br></p>
<p>The Careem Data Science team s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI./p&gt;
</p><p> strong&gt;What you'll do/strong&gt; </p>
<ul>
<li>Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.</li>
<li>Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.</li>
<li>Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements.</li>
<li>Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.</li>
<li>Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions</li>
<li>Implement scalable machine learning algorithms that will be used in production on big data.</li>
<li>Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. </li>
<li>Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.</li>
<li>Help define and track the appropriate key metrics for specific projects. </li>
<li>Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.</li>
<li>You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.</li>
<li>Build and deploy retrieval augmented generation systems and other applications of large language models.</li>
</ul>
<p> strong&gt;What you'll need/strong&gt; </p>
<ul>
<li>6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.</li>
<li>Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)</li>
<li>Strong problem-solving and coding skills.</li>
<li>Solid knowledge of AB testing, classic ML, and DL</li>
<li>Solid understanding of recommendations, ranking, and retrieval. </li>
<li>Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.</li>
<li>Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).</li>
</ul>

Senior Data Scientist II

Glow Beauty On Demand

<b><br>Job Title<br>Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE<br>Job Description<br>Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE<br> <br>Role Summary</b><br>MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services.<br> <br><b>Employment Overview<br>Job Location: Dubai, UAE<br>Industry: Insurance<br>Function: Data Science / Analytics<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time (Hybrid)</b><br> <br><b>What You ll Do<br></b> <br>* Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives<br>* Build and deploy data pipelines, backend models, and scalable analytics solutions<br>* Collaborate with stakeholders to align data projects with strategic objectives<br>* Develop visually impactful dashboards and reports using Power BI<br>* Perform data mining, feature engineering, and statistical analysis for actionable insights<br>* Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization<br>* Mentor and coach team members to enhance analytics and AI capabilities<br>* Drive continuous innovation through experimentation with emerging technologies<br>* Ensure data governance, model validation, and compliance with organizational standards<br> <br><b>Ideal Profile<br></b> <br>* Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field<br>* 3+ years of experience in machine learning, deep learning, and predictive analytics<br>* Strong programming skills in Python or R and experience building data pipelines<br>* Expertise in NLP, hypothesis testing, and conceptual modeling<br>* Proficiency in Power BI and knowledge of Alteryx or similar visualization tools<br>* Familiarity with Microsoft Azure or cloud-based environments<br>* Strong storytelling and data visualization skills for non-technical audiences<br>* Business acumen with ability to translate insights into impactful business strategies<br>

Data Scientist - Advanced Analytics & AI Solutions

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