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data scientist

Ericsson

<div><div><div><div><h2 class="jobSectionHeader">Grow with us</h2>
</div><div>
About this opportunity: 
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager &ndash; Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.
Key Responsibilities<ul><li>
Enhanced Data analytics and Data Science &ndash; Use case design, modelling, and benefit realization</li><li>
Development of scientific methods, processes, and systems to extract knowledge or insights</li></ul>
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.</div></div><div><div><h2 class="jobSectionHeader">
Join our Team</h2></div><div> 
What you will do:<ul><li>
Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive &amp; predictive) covering standard NOC parameters (Alarms, Tickets, WOs).</li><li>
Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.</li><li>
Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.</li><li>
Translate data algorithms and complex ideas into actionable management insights and solutions.</li><li>
Translate operator business objectives into business intelligence through regressive data analytics.</li><li>
Drive reuse of analytics capabilities as per demands in other contracts.</li><li>
Analytical model development &amp; visualization request handling.</li><li>
Model LCM &amp; Enhancements over existing models.</li><li>
Explore and work on Big Data tools and technologies to sustain Ericsson&rsquo;s continued operational transformation objectives and market leadership.</li><li>
Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.</li><li>
Recognize irrelevant information and prevent it from clouding the overall picture.</li><li>
Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.</li><li>
Work with MSDMs/CPM, Operations SME &amp; other stakeholders to conduct value-stream mapping &amp; propose elimination of any non-value activities - to gain operational efficiencies.</li></ul> 
The skills you bring:<ul><li>
7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.</li><li>
Hands-on experience working in the related domains and/or Service Management functions.</li><li>
Strong understanding of Managed Services environment is mandatory.</li><li>
Strong telecom background in any of the domains (RAN/Core) is mandatory.</li><li>
Prior experience of working in MBNL operations is a plus point.</li><li>
Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.</li><li>
Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.</li><li>
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.</li><li>
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.</li><li>
Education: bachelor&rsquo;s degree or equivalent.</li><li>
Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.</li><li>
Must have the ability to drive projects independently.</li><li>
Excellent English language skills oral and written.</li><li>
Self-motivated and works excellently under pressure.</li><li>
High degree of accountability and integrity.</li><li>
Highly developed skills in Interpersonal communication and ability to communicate effectively.</li><li>
Customer oriented and business minded &ndash; has a consultative approach and focuses on profitability.</li><li>
Analytical with strong problem-solving capability and strategic thinking.</li></ul></div></div></div>
Why join Ericsson?At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. 
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. 
Primary country and city: Saudi Arabia (SA) ||
Req ID: 785347</div>

Data Scientist

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist I

IT Financial company

<div><div><div><div>We&rsquo;re looking for Data Scientists with strong expertise in GenAI &amp; LLMs to join a leading Financial IT company in Riyadh-KSA (Onsite)
 
 
Requirements:
 
<ul><li>5 to 10+ years in AI/ML, data / architecture roles
</li><li>Strong experience with GenAI and LLM ecosystems
</li><li>Proven track record in enterprise solution design
</li><li>Hands-on with cloud platforms
</li><li>Leadership and client-facing experience
</li><li>Banking or fintech experience (Preferred)
</li></ul> 
Interested candidates can send their updated CV to zeinadimashki2000@gmail.com
</div></div></div><div></div><div><div><h4 class="jobSectionHeader">Company Profile</h4></div></div></div><div></div>

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Gen AI Data Scientist
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dhahran, Saudi Arabia
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Develop and deploy
 
 machine learning and deep learning models
 
 for
 
 time series forecasting
 
 ,
 
 NLP
 
 , and
 
 sensor/IoT data analysis
 
 .
 </li>
 <li>
 Fine-tune and deploy
 
 state-of-the-art (SOTA) models
 
 , including
 
 LLMs
 
 , using frameworks like
 
 HuggingFace
 
 , and methods like
 
 LoRA
 
 ,
 
 Q-LoRA
 
 , and full model fine-tuning.
 </li>
 <li>
 Implement and evaluate
 
 bagging and boosting models
 
 (e.g., XGBoost, LightGBM, CatBoost) for structured and sensor data.
 </li>
 <li>
 Design and optimize
 
 neural network architectures
 
 , including
 
 CNNs
 
 ,
 
 RNNs
 
 ,
 
 Transformers
 
 , and attention-based models using
 
 PyTorch
 
 .
 </li>
 <li>
 Build and evaluate
 
 model performance
 
 using appropriate metrics and validation strategies.
 </li>
 <li>
 Work with
 
 smart sensor data
 
 and
 
 IoT systems
 
 , extracting features and building predictive models for anomaly detection, failure prediction, and optimization.
 </li>
 <li>
 Develop and expose model inference as
 
 REST APIs
 
 using
 
 FastAPI
 
 or similar web frameworks.
 </li>
 <li>
 Collaborate with DevOps and engineering teams to operationalize models using
 
 Docker
 
 ,
 
 CI/CD pipelines
 
 , and cloud platforms.
 </li>
 <li>
 Maintain and improve data pipelines, feature engineering, and model monitoring in production environments.
 </li>
 </ul>
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline:
 
 31-May-2026
 
 
 
 
 
 
 Privacy Notice:
 
 
 
 https://ibegin.tcs.com/iBegin/privacy-notice
 
</div>

Gen AI Data Scientist

Confidential Semi-Government

<div>
 
 We are seeking a Data Scientist | Machine Learning &amp; Threat Detection to build machine learning models that enhance our threat detection capabilities.
 
 
 
 Role Overview:
 
 Advanced analytics role leveraging big data to identify anomalous behaviors and predict emerging threats.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop machine learning models for anomaly detection.
 </li>
 <li>
 Process and analyze massive datasets from SIEM and threat intelligence feeds.
 </li>
 <li>
 Collaborate with security analysts to automate complex threat hunting tasks.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Mathematics, or Computer Science.
 </li>
 <li>
 5+ years in data science within a cybersecurity context.
 </li>
 <li>
 Certified Analytics Professional certification.
 </li>
 </ul>
 
 
</div>

Data Scientist | Machine Learning & Threat Detection

Foodics

<div>
 
 Who Are We❓
 
 
 
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
 </li>
 <li>
 Design and develop scalable solutions using classical ML and GenAI techniques
 </li>
 <li>
 Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
 </li>
 <li>
 Collaborate with squads and platform teams to ensure reusability and adherence to standards
 </li>
 <li>
 Mentor junior ML engineers and contribute to the internal ML knowledge base
 </li>
 <li>
 Integrate models with APIs and backend services as needed
 </li>
 <li>
 Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' experience in applied ML, AI, or data science
 </li>
 <li>
 Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
 </li>
 <li>
 Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
 </li>
 <li>
 Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
 </li>
 <li>
 Proven track record of deploying ML models in production at scale
 </li>
 <li>
 Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
 </li>
 <li>
 Strong understanding of data pipelines, experimentation, and model evaluation
 </li>
 <li>
 Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
 </li>
 <li>
 Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 We believe you will love working at Foodics!
 
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation
 </li>
 <li>
 We offer highly competitive compensation packages, including bonuses and the potential for shares
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company
 </li>
 </ul>
</div>

Senior Data Scientist / Senior ML Engineer

Mace Group

<div>Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.
The project:
This is an opportunity to work on one of the largest programmes in Saudi Arabia. This unique project consists of major mixed-use development including sports facilities, entertainment and arts along with all associated infrastructure.
Mace is one of the delivery partners requiring high-calibre and experienced professionals to lead integrated teams throughout each phase of the project.
We are seeking a Transport Data Scientist to lead the development of data-driven intelligence across our mobility ecosystem. This role will deliver advanced transport data models, AI-enabled insights, and scalable cloud-based data platforms, underpinned by robust governance and knowledge management frameworks.
Working in close partnership with technology vendors, autonomous vehicle providers, system integrators, and internal stakeholders, the role will ensure data platforms and analytics solutions are clearly defined, effectively integrated, and delivered to the highest standards of quality and performance.
You&rsquo;ll be responsible for:<ul><li>
Lead the development of integrated transport data strategies across all mobility modes, defining clear use cases, KPIs, and performance frameworks aligned to business and customer outcomes.</li><li>
Deliver advanced analytics and AI solutions, including predictive modelling for demand, ridership, fleet optimisation, traffic management, safety, and customer insights.</li><li>
Enable scalable, cloud-based data and AI architectures, supporting personalised mobility experiences and ensuring seamless integration with AV and MaaS platforms.</li><li>
Establish and maintain robust data governance and knowledge management frameworks, ensuring data quality, compliance, traceability, and effective lifecycle management of data assets and models.</li><li>
Works collaboratively towards the common goal of net zero carbon transition, and share responsibility for the proactive identification and management of the associated carbon emissions and reductions during the delivery of work.</li></ul>
You&rsquo;ll need to have:<ul><li>
Bachelor&rsquo;s degree in data science, Data Engineering, AI/Machine Learning, Transport Systems Engineering, or a related discipline.</li><li>
Proven experience (8+ years) in transport data engineering and AI/ML, with GCC experience highly regarded.</li><li>
Necessary visa criteria for the Kingdom of Saudi Arabia and have relevant work experience working on high-valued projects/programmes for a project management consultancy business, which are required for immigration and client approval.</li></ul>
Our values
Safety first - Going home safe and well: We champion a safe, diverse, and inclusive working environment, understanding the importance of well-being in every team.
Client focus - Deliver on our promise: We own the quality of deliverables and strategic outcomes and build long-term relationships with our clients.
Integrity - Always do the right thing: We influence positive outcomes within our industry while always aligning with our compliance obligations.
Create opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop. 
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfill all the criteria, please apply, as you may still be the best candidate for this role or another role within our organisation. 
We are also open to discussing part-time, flexible, and hybrid working options if suitable within the role.
#LI-Onsite</div>

Transport Data Science Manager

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394 data scientist jobs In Saudi Arabia

Data Scientist

Data Scientist I

Data Scientist

Gen AI Data Scientist

Data Scientist | Machine Learning & Threat Detection

Senior Data Scientist / Senior ML Engineer

Transport Data Science Manager