Data Scientist Jobs

Speechify is hiring a Data/AI-focused Software Engineer to join our fully distributed team. You’ll own data collection, ingestion pipelines, and collaboration with scientists to build scalable datasets for next-generation models.The ideal candidate has 5+ years in software development, strong Bash/Python on Linux, Docker and Terraform experience, and comfort with GCP. You’ll help expand data sources, optimize throughput, and support impactful products in education technology. #J-18808-Ljbffr

Wasl Group in Dubai is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines that support advanced analytics and BI across the role requires a strong focus on data availability and quality, collaborating closely with data scientists and BI analysts, while utilizing cloud-native architectures, particularly on Azure. A bachelor’s degree and 5+ years of data engineering experience are essential. #J-18808-Ljbffr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Research Engineer / Scientist based in United Arab Emirates. Join a research-driven team building next-generation AI models designed to understand complete CT studies rather than isolated findings. You’ll work on foundation models, vision-language learning, and multi-finding detection using medical imaging data at unprecedented scale. Your research will have a direct path from experimentation to regulatory submissions, hospital deployment, and real-world patient care. You’ll own models and experiments end to end, from developing the initial idea through training, evaluation, calibration, and production readiness. You’ll work alongside experienced ML engineers, software engineers, and fellowship-trained radiologists across multiple clinical specialties. The role combines deep technical research with practical impact, giving you the opportunity to solve challenging problems in medical AI with exceptionally rich real-world data. This is a fully remote opportunity for an independent researcher who wants their work to move quickly from the lab into clinical practice. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Accountabilities: • Design, develop, train, and evaluate machine learning models capable of interpreting complete CT studies at the study level. • Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale. • Develop and investigate vision-language models that connect medical images with the terminology and reporting patterns used by radiologists. • Build models capable of identifying and prioritizing multiple urgent clinical findings simultaneously while maintaining safe and clinically appropriate operating points. • Design and execute independent experiments, from hypothesis formation and architecture selection through training, evaluation, and analysis. • Develop custom architectures, training pipelines, loss functions, and distributed training approaches using modern deep learning frameworks. • Analyze model performance rigorously and establish reproducible evaluation methodologies suitable for clinically consequential AI systems. • Work closely with fellowship-trained radiologists to understand clinical requirements, interpret results, and translate research findings into practical model improvements. • Contribute to models and research that progress toward regulatory submissions, clinical deployment, and real-world patient use. • Take ownership of research projects end to end and make informed decisions about which experiments and approaches are most likely to deliver meaningful improvements. • Collaborate with ML and software engineering teams to move successful research from experimentation toward robust, deployable systems. Requirements: • Strong practical experience with modern machine learning and deep learning, particularly using PyTorch for custom architectures, training loops, and experimentation. • Deep understanding of why machine learning architectures, objectives, optimization strategies, and training approaches work, rather than relying solely on existing implementations. • Demonstrated ability to independently formulate hypotheses, design experiments, interpret results, and iterate toward better models. • Strong understanding of rigorous experimentation, evaluation, reproducibility, and model validation. • Experience working with large-scale datasets and distributed training environments is highly valuable. • A strong interest in solving technically challenging problems where model performance and reliability have meaningful real-world consequences. • Ability to work effectively with researchers, engineers, and clinical experts in a collaborative environment. • Medical imaging, 3D computer vision, or volumetric-data experience is advantageous but not required. • Experience with vision-language models or self-supervised learning is a plus. • Familiarity with DICOM, CT imaging, radiology, or other medical-data formats and workflows is beneficial. • A PhD, research publications, or a strong academic research background is a plus, but not a prerequisite. • Prior medical-AI experience is not required; a willingness to learn clinical concepts directly from radiology experts is valued. • Strong written and verbal communication skills and the ability to work independently in a fully remote environment. Benefits: • Fully remote position open to candidates worldwide. • Location-flexible compensation with a cash-weighted base salary determined according to the local market in the country where you work. • Specific compensation range for your location shared early in the hiring process. • No equity included in international offers, with compensation structured transparently around local-market cash pay. • Opportunity to work with a real-world CT dataset covering approximately 10 million patients, paired with radiology reports. • Direct collaboration with fellowship-trained radiologists across areas including chest, body, MSK, neuro, and oncology. • Opportunity to work on research that can progress from experimentation to FDA submissions, hospital deployments, and patient care within months. • Exposure to large-scale foundation models, vision-language learning, distributed training, medical imaging, and clinically focused AI evaluation. • High degree of ownership over research ideas, experiments, models, and technical direction. • Opportunity to work alongside researchers and engineers with significant contributions to medical AI, open datasets, algorithms, and clinical AI systems. • A small, research-oriented team where successful ideas can move quickly from research into production.

Cerebras is seeking a Senior Product Data Scientist in Dubai to improve user engagement and revenue through data-driven analysis. This hands-on role involves collaborating with cross-functional teams to conduct experiments, analyze user behavior, and develop predictive models. Ideal candidates will have over 4 years in data science, experience in machine learning, and strong SQL and Python skills. A competitive salary between AED42,000 - AED48,000 per year is offered along with comprehensive benefits including unlimited PTO and mental wellness support.

The work involves creating detailed scoring frameworks and reviewing AI-generated and human-produced outputs such as analyses, models, dashboards, experiment summaries, and executive recommendations. Clear judgement is essential because every score must be supported by evidence, applied consistently, and capable of being reproduced by another qualified reviewer. Key ResponsibilitiesExamine realistic data science assignments and identify the characteristics of an excellent response.Develop task-specific evaluation criteria for analyses, predictive models, dashboards, and experiment readouts.Define scoring levels that distinguish complete, partially correct, unsupported, and incorrect work.Evaluate AI-generated and human-produced submissions against approved grading frameworks.Assign defensible scores and provide a detailed written justification for every assessment.Verify analytical logic, statistical validity, metric selection, calculations, and interpretation.Assess whether conclusions are supported by the available evidence and communicated appropriately.Review SQL and Python-based analysis for methodological quality and technical correctness.Evaluate experiment designs, control groups, success measures, and A-B testing conclusions.Check dashboards and reporting outputs for accuracy, usability, and business relevance.Apply evaluation standards consistently across repeated tasks and different submission types.Identify ambiguous criteria and recommend refinements that improve scoring reliability.Incorporate structured comments from senior reviewers and revise work within agreed timelines.Participate in calibration exercises to align judgement with other subject-matter experts.Maintain concise records explaining decisions, assumptions, and changes made during review.Protect project information and follow all contractor confidentiality requirements. Ideal ProfileCandidates should have at least five years of professional data science experience gained in an industry environment. A background in product, growth, or business-operations analytics within a high-performing technology organization is particularly relevant. The role requires advanced knowledge of experiment design, A-B testing, metric development, SQL, Python, and the communication of technical findings to executive stakeholders. Exceptional written English, careful attention to evidence, and comfort with peer calibration are essential. Previous involvement in AI evaluation, model training, data annotation, human-feedback programmes, or similar projects would be advantageous.Skills SetData science evaluationAI output assessmentRubric and grading designEvidence-based scoringStatistical analysisExperiment designA-B testingMetric definitionSQLPythonPredictive model reviewDashboard evaluationBusiness operations analyticsProduct analyticsGrowth analyticsExecutive recommendationsTechnical writingQuality calibrationPeer-review feedbackAnalytical reasoning

Build, train, test, and evaluate predictive machine learning models for healthcare use cases. Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement. Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data. Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods. Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks. Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR. Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives. Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows. Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods. Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements. urrently residing in the UAE. Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline. Minimum 2–5 years’ experience in data science. Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data. Proven hands-on experience building predictive models or machine learning solutions. Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation. Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation. Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data. Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR. Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders. Highly Desirable Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field. Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements. Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment. Experience with clinical decision support systems. Experience with SHAP, LIME, or other model explainability methods. Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership.

## Full Description Associate Director – AI and Digital Transformation- Global Management Consultancy Location: Dubai Employment Type: Full-time / Permanent Role Overview: Our client is a global management consultancy, seeking to hire an Associate Director- Digital Transformation / Head of Digital Consulting/ Digital Leader for the region- to join their Dubai office. You should be a visionary leader in AI and digital transformation who is eager to drive strategic change and business growth across diverse industries. You will be responsible for leading and managing high-impact AI and digital transformation projects across various industries, with a focus on driving strategic outcomes and innovation for clients. This role involves a blend of strategic leadership, technical expertise, client engagement, and team management. As a senior leader, the Associate Director will play a critical role in shaping the future of digital transformation solutions, while managing client relationships and driving business growth. Key Responsibilities: • Lead the development and execution of AI and digital transformation strategies for high-profile clients. • Work closely with C-level executives and senior business stakeholders to design transformation roadmaps aligned with their business goals and vision. • Provide thought leadership in AI, digital transformation, and emerging technologies, advising clients on how these innovations can drive business value. • Shape the consulting services offered in the AI and digital transformation space, positioning the firm as a leader in these areas. • Oversee the architecture, design, and deployment of AI and digital transformation solutions, ensuring they are scalable, sustainable, and meet client expectations. • Lead cross-functional teams of data scientists, engineers, and consultants to deliver AI and digital solutions, ensuring the integration of advanced technologies (e.g., AI, machine learning, IoT, cloud, automation). • Identify and drive new business opportunities within existing accounts, expanding the scope of AI and digital transformation services. • Drive internal innovation, exploring new AI techniques, frameworks, and digital tools to improve consulting offerings. Required Skills and Qualifications: • Deep knowledge of AI technologies (e.g., machine learning, NLP, computer vision) and digital transformation tools (e.g., cloud computing, IoT, automation). • Extensive experience in designing and delivering large-scale AI and digital transformation solutions. • Expertise in modern software architectures, integration patterns, and emerging technologies. • Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud) and modern development practices (DevOps, CI/CD, containerization). Consulting and Leadership Experience: • 10 + years of experience in Management Consultancies/ technology consulting, ideally with at least 5 years in a leadership role focused on AI and digital transformation. • Proven experience in managing client relationships at the executive level (CXO level), advising on strategic technology and business transformation. • Exceptional leadership skills, with a demonstrated ability to lead cross-functional teams and manage multi-disciplinary projects. • Excellent communication and interpersonal skills, with the ability to engage with stakeholders at all levels. Certifications & Education: • Bachelor’s or master’s degree in computer science, Engineering, or a related field (MBA is a plus). • Relevant certifications in AI, cloud platforms, or digital transformation (e.g., AWS Certified Solutions Architect, Google Cloud Professional Architect, TOGAF, or similar) are advantageous.

Lead Data Scientist – AI Lab | Banking at Salt Search in the UAE. . This is a high-impact opportunity for a technically strong, hands-on Data Scientist who can take AI and machine learning solutions... Responsibilities: Lead the design, development and deployment of advanced AI and machine learning solutions across banking use cases... Role family: data. Powered by artificial.ae — indexed hourly from Salt Search's public ATS. Apply direct at the source link.

Dear Data Scientists, We are currently looking for multiple Data Scientists for one of the leading tech companies in Europe. The position is 100% remote and long-term. Quick Facts • Freelancing/Contracting • Start: ASAP • 100% remote • Duration: long-term 12+ months • Capacity: full-time, part-time also possible • Language: English • Dubai business hours Requirements • Experience in data strategy and consulting, including translating business needs into data-driven solutions. • Experience with Salesforce CRM or other CRM tools. • Knowledge of SQL for data analysis, querying, and working with relational data. • Familiarity with Python or R for analytics, reporting, or data processing. • Experience advising stakeholders on data structures, CRM data, and analytics-related processes. We are looking forward to hearing back from you. Have a great day! Your wynwood tech Recruiting Team #J-18808-Ljbffr

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do 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. 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. 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. 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: • Comfortable in a client-facing role with the ambition to lead teams • Likes to distill complex results or processes into simple, clear visualizations • Explain sophisticated data science concepts in an understandable manner • 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) • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data • Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients • Have strong project management skills What You'll Bring TECHNOLOGIES: Programming Languages: Python #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.