entry level data analyst (remote)

entry-level data analyst specialist Jobs in Saudi Arabia

entry-level data analyst specialist

big data admin support Jobs in Saudi Arabia

big data admin support

graduate talent scientist Jobs in Saudi Arabia

graduate talent scientist

remote data analyst specialist Jobs in Saudi Arabia

remote data analyst specialist

senior 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 Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead initiatives to develop and implement strategies for fraud detection and AML.
 </li>
 <li>
 Interact heavily with SME as well as Enterprise clients.
 </li>
 <li>
 Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
 </li>
 <li>
 Plan, research and experiment customized project-based solutions.
 </li>
 <li>
 Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
 </li>
 <li>
 Plan and execute towards the training of ML models then deploying them.
 </li>
 <li>
 Help shape the roadmap for the development of our fraud and AML solutions.
 </li>
 <li>
 Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 At least 5 years experience in leading advanced data science projects.
 </li>
 <li>
 A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
 </li>
 <li>
 Strong communication skills to collect insights from clients, share and present findings.
 </li>
 <li>
 Proficient in handling and analysing large datasets using SQL and Python.
 </li>
 <li>
 Hands-on experience in data extraction, visualisation, analysis, and transformation.
 </li>
 <li>
 Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
 </li>
 <li>
 Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
 </li>
 <li>
 Ability to create and manage complex multi-stage data pipelines.
 </li>
 <li>
 Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
 </li>
 <li>
 Proficiency in English language is required and preferably in Arabic languages.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and adaptability
 
 
 </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>

Senior Data Scientist

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :
 
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 </li>
 <li>
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 </li>
 <li>
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 </li>
 <li>
 Build conversational AI applications.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 BU: Data Intelligence
 
 
 Senio Level
</div>

YO IT CONSULTING

<div>Engagement Type: Independent Contractor 
Work Mode: Fully Remote 
Hours: 30&ndash;40 hours/week or Full-Time (Flexible)
<h3 class="jobSectionHeader">About the Role</h3>
We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile.
In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Analyze large, complex datasets to uncover patterns and generate actionable insights
</li><li>Build predictive models and ML pipelines across:
<ul><li>Tabular data
</li><li>Time-series data
</li><li>NLP
</li><li>Multimodal datasets
</li></ul></li><li>Design and implement validation strategies, experimental frameworks, and analytical methodologies
</li><li>Develop automated data workflows, feature pipelines, and reproducible research environments
</li><li>Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations
</li><li>Translate analytical results into clear recommendations for engineering, product, and leadership teams
</li><li>Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale
</li><li>Present findings via dashboards, structured reports, and documentation
</li></ul><h3 class="jobSectionHeader">Required Qualifications</h3>
<ul><li>Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance)
</li><li>3&ndash;5+ years of experience in data science or applied analytics
</li><li>Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.)
</li><li>Experience building ML models end-to-end (feature engineering, training, evaluation, deployment)
</li><li>Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis
</li><li>Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools)
</li><li>Excellent communication skills and ability to present analytical insights clearly
</li></ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code)
</li><li>Experience in AI labs, fintech, product analytics, or ML-driven organizations
</li><li>Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data
</li><li>Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.)
</li><li>Familiarity with Bayesian methods or probabilistic programming frameworks
</li></ul><h3 class="jobSectionHeader">Why Join</h3>
<ul><li>Work on cutting-edge AI research workflows
</li><li>Collaborate with world-class data scientists and ML engineers
</li><li>Solve high-impact, real-world data science challenges
</li><li>Experiment with advanced modeling strategies and competition-grade validation techniques
</li><li>Flexible engagement options ideal for Kaggle-level problem solvers</li></ul></div>

Data Scientist - Kaggle Grandmaster

McKinsey & Company

<div><div><div>Job ID: 106293
<div><div><li>Riyadh</li></div></div><div> 
</div></div><div> 
 
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div>YOUR IMPACT
<div>As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack, AI by McKinsey approach data science at scale.</div>
</div></div><div><div>YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
When you join us, you will have:<div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div>YOUR QUALIFICATIONS AND SKILLS
<div><div><div><ul><li>Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence</li><li>
Availability for a full-time internship of 12 weeks</li><li>
Strong interest in applying machine learning and statistical analysis to solve real-world problems</li><li>
Foundational experience in Python (preferred) or R for data analysis and model prototyping</li><li>
Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus</li><li>
Basic understanding of data wrangling, visualization, and exploratory analysis</li><li>
Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent</li><li>
Good analytical and problem-solving skills; ability to structure tasks and manage time effectively</li></ul></div></div></div></div></div></div></div>

Data Scientist Intern - QuantumBlack, AI by McKinsey

<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.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead consultative AI and data analytics presales engagements, guiding customers from problem discovery to solution definition and technical validation.
 </li>
 <li>
 Partner with business and technical stakeholders to understand strategic objectives, data challenges, and AI maturity, and translate them into actionable solution approaches.
 </li>
 <li>
 Advise customers on AI use cases, prioritization, and adoption roadmaps, focusing on measurable business value rather than technology alone.
 </li>
 <li>
 Deliver targeted demonstrations, workshops, and proof-of-concepts aligned with customer priorities and decision criteria.
 </li>
 <li>
 Support complex sales cycles through structured responses to RFPs, RFIs, and executive-level discussions.
 </li>
 <li>
 Communicate AI and analytics concepts clearly to both technical and executive audiences, enabling informed decision-making.
 </li>
 <li>
 Collaborate closely with Sales, Product, and Delivery teams to shape deal strategy and ensure a smooth transition from presales to delivery.
 </li>
 <li>
 Continuously develop expertise in Mozn&rsquo;s AI and analytics offerings, industry trends, and competitive landscape.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical discipline; a Master&rsquo;s degree is a plus.
 </li>
 <li>
 7+ years of experience in presales, solutions consulting, AI/data analytics consulting, or a similar senior customer-facing technical role, preferably in enterprise or regulated environments.
 </li>
 <li>
 Strong understanding of AI and advanced analytics concepts, including LLMs, NLP, RAG, and model lifecycle considerations, with the ability to translate technical capabilities into business value.
 </li>
 <li>
 Proven experience advising customers on AI strategy, use-case definition, and solution approaches throughout complex sales cycles.
 </li>
 <li>
 Demonstrated ability to engage, influence, and communicate effectively with senior stakeholders, including executives and technical leadership.
 </li>
 <li>
 Solid experience leading RFP/RFI responses and contributing to solution design, technical narratives, and value propositions.
 </li>
 <li>
 Excellent analytical and problem-structuring skills, with the ability to navigate ambiguity and guide customers toward clear decisions.
 </li>
 <li>
 Comfortable operating in fast-paced, cross-functional environments, collaborating closely with Sales, Product, Data Science, and Delivery teams.
 </li>
 <li>
 Arabic Language is a must
 
 
 </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>

Senior Presales Consultant – AI & Data Analytics

Buro Happold

<div>Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert 
Here at Buro Happold, expect the exceptional.
From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary. 
Your next role
Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive. 
You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy. 
Your key duties
We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:<ul><li>
Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.</li><li>
Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.</li><li>
Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).</li><li>
Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.</li><li>
Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.</li><li>
Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.</li><li>
Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).</li><li>
Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.</li></ul> 
Your skills and experience<ul><li>
Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.</li><li>
Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.</li><li>
Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.</li><li>
Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.</li><li>
Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.</li><li>
Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.</li></ul>
Academic qualifications
The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science</li><li>
Data Science</li><li>
Statistics, Mathematics</li><li>
Engineering</li><li>
or a related quantitative discipline (or equivalent relevant experience).</li></ul>
Personal Attributes<ul><li>
Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.</li><li>
Proactive and solution driven, with a strong sense of ownership for deadlines and deliverables.</li><li>
Collaborative team player, comfortable working with multidisciplinary and multicultural teams.</li><li>
Able to work under pressure, manage multiple priorities, and adapt to evolving project needs</li></ul> 
What we offer you<ul><li>
Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.</li><li>
Hybrid working arrangements</li><li>
Attractive salary and benefits package</li><li>
A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you</li><li>
Entitlement to two memberships to professional bodies or subscriptions</li><li>
An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.</li></ul> 
At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy. 
A place for everyone
Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance. We welcome applications from those who are seeking flexibility in their careers. 
Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive. 
We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application. 
#LI-LH</div>

Senior Consultant - AI & Data Science

MISPay

<div>
 
 
 Role Overview
 
 
 
 We are seeking a Data Scientist &ndash; Credit Risk to support and enhance credit decisioning strategies within our Buy Now Pay Later (BNPL) business. The role will focus on developing, validating, and optimizing credit risk models to manage portfolio performance, and support sustainable growth in compliance with SAMA regulations.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain credit risk models (application scorecards, behavioral models, fraud models).
 </li>
 <li>
 Build predictive models for default probability, loss forecasting, and customer segmentation.
 </li>
 <li>
 Analyze large structured and unstructured datasets to generate risk insights and actionable recommendations.
 </li>
 <li>
 Monitor portfolio performance, delinquency trends, roll rates, and vintage analysis.
 </li>
 <li>
 Collaborate with related teams to enhance credit decisioning engines.
 </li>
 <li>
 Implement A/B testing and champion/challenger strategies.
 </li>
 <li>
 Ensure compliance with SAMA regulatory requirements and internal governance standards.
 </li>
 <li>
 Automate reporting dashboards and performance tracking using BI tools.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
 </li>
 <li>
 3&ndash;6+ years of experience in credit risk modeling (preferably in fintech, BNPL, or banking in KSA).
 </li>
 <li>
 Strong understanding of credit lifecycle, underwriting, and collections analytics.
 </li>
 <li>
 Experience working under SAMA regulatory framework is preferred.
 </li>
 <li>
 Proficiency in Python, SQL, and data visualization tools (Power BI/Tableau).
 </li>
 <li>
 Hands-on experience with machine learning techniques
 </li>
 <li>
 Knowledge of local credit bureau systems (SIMAH)
 </li>
 <li>
 Experience with big data tools
 </li>
 <li>
 Arabic language proficiency
 </li>
 </ul>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Statistical modeling &amp; hypothesis testing
 </li>
 <li>
 Feature engineering &amp; model validation
 </li>
 <li>
 Model performance monitoring
 </li>
 <li>
 Data wrangling &amp; ETL processes
 </li>
 <li>
 Version control &amp; documentation best practices
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to communicate complex insights to non-technical stakeholders
 </li>
 <li>
 Attention to detail and high ownership mindset
 </li>
 <li>
 Ability to work in fast-paced fintech environment
 </li>
 </ul>
 
 
</div>

Data Scientist - Credit Risk

Explore 1463+ Senior data scientist in Saudi Arabia this March. Find roles across top companies and apply now to boost your career.

1463 senior data scientist jobs In Saudi Arabia

Senior Data Scientist

Senior Data Scientist

Data Scientist - Kaggle Grandmaster

Data Scientist Intern - QuantumBlack, AI by McKinsey

Senior Presales Consultant – AI & Data Analytics

Senior Consultant - AI & Data Science

Data Scientist - Credit Risk