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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

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

<div>Company Description 
Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.
Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
In the Middle East, Sia provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
Why join the Sia Village?
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. 
Job Description 
At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.
We are looking for individuals with the following experience:
Lead delivery projects with our clients on a wide range of topics:<ul><li>
Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li><li>
Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li><li>
Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li><li>
Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li><li>
Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li><li>
Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li><li>
Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li><li>
Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li><li>
Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li><li>
Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.</li><li>
Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li></ul>
In addition, we are seeking technical experience across all or some of the below:<ul><li>
Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li><li>
Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li><li>
Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li><li>
Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li><li>
Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li><li>
Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li><li>
Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li><li>
Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li><li>
Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li><li>
Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li><li>
Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li><li>
Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li><li>
Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li><li>
Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li></ul> 

Qualifications 
To excel in this role, you should possess:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li><li>
Master&rsquo;s degree in a relevant discipline.</li><li>
4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li><li>
Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li><li>
Experience working with enterprise and government stakeholders in KSA or the GCC.</li><li>
Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li><li>
Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li><li>
Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li><li>
Fluency in English and Arabic is required.</li><li>
Experience in local networks and aiding in business development, proposal, and RFPs</li><li>
It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li><li>
Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li><li>
Exceptional analytical, communication, and interpersonal skills</li><li>
An entrepreneurial mindset with a passion for innovation and problem-solving</li></ul> 

Additional Information 
Joining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
What a career at Sia offer you?<ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul>
Our Commitment to Diversity
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
To learn more about our mission, values, and business sectors, please visit our website.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

[KSA] Data & AI – Senior Consultant / Associate Manager

TAWANTECH

<div>JOB PURPOSE &amp; SUMMARY
The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
strategies. The successful candidate will design robust predictive frameworks and build self-service
visualization assets to guide corporate decision-making.
KEY RESPONSIBILITIES<ul><li>Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product</li></ul>
affinity.<ul><li>Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey</li></ul>
friction points, and engagement lifecycle stages.<ul><li>Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly</li></ul>
measure marketing ROI and portfolio performance.<ul><li>Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,</li></ul>
real-time metrics for executive leadership.<ul><li>Extract, clean, and manipulate heavy transactional and profile records from central enterprise data</li></ul>
warehouses.<ul><li>Act as an analytical business partner, converting data findings into commercial recommendations for</li></ul>
product development and marketing departments. 
Requirements 
JOB REQUIREMENTS &amp; QUALIFICATIONS<ul><li>Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.</li><li>Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive</li></ul>
statistical teams, or sophisticated commercial analysis environments.<ul><li>Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/</li></ul>
data manipulation and Python for statistical modeling.<ul><li>Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual</li></ul>
dashboards in Power BI or Tableau.<ul><li>Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity</li></ul>
modelling) and executing behavioral analytics tracks.</div>

Data Analytics / Customer Intelligence Specialist

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