data analyst

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senior data scientist

business analytics analyst

senior data analyst

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 Job Description
 
 
 
 
 About the role
 
 
 
 Orange is seeking a talented and motivated Data Analyst to join our Digital AI Skills Centers in Egypt. The ideal candidate will be responsible for understanding data needs, collecting and formatting data, storing, processing, and analyzing it to extract actionable insights.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Perform advanced data analysis using cutting-edge methods to uncover hidden insights and demonstrate business value.
 </li>
 <li>
 Develop and apply complex statistical models and innovative data visualizations to reveal insights and business value.
 </li>
 <li>
 Present findings in a comprehensible manner and advise management on actionable steps.
 </li>
 <li>
 Create and deliver data-driven products (e.g., automated decision systems, AI-based anomaly detection) and monitor performance through to industrialization
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 About you
 
 
 
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.A minimum of 5 years of proven experience as a Data Analyst or in a similar role.Proficiency in data analysis tools and software.Strong analytical and problem-solving skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 NA
 
 
 
 Awards
 
</div>

Senior Data Analyst

Cilantro

<div>
 Lead the development of scalable analytics solutions and data products that unlock business value, empower data-informed decision-making, and drive strategic and operational excellence across the organization. This role combines advanced analytical thinking with cross-functional collaboration to translate complex data into actionable insights, enabling sustainable growth and continuous improvement.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insights
 </li>
 <li>
 Lead high-impact analytical projects that inform business strategy and improve performance across key functions.
 </li>
 <li>
 Conduct deep-dive analyses including customer segmentation, retention modeling, funnel diagnostics, and performance trends.
 </li>
 <li>
 Design and evaluate A/B and multivariate tests using statistically sound methodologies.
 </li>
 <li>
 Translate complex business objectives into structured data problems and actionable insights.
 </li>
 <li>
 Reporting &amp; Visualization
 </li>
 <li>
 Build advanced dashboards and self-serve analytics tools using BI platforms.
 </li>
 <li>
 Enable business users with easy access to reliable, real-time insights for decision-making.
 </li>
 <li>
 Define and maintain KPI frameworks in collaboration with functional leads.
 </li>
 <li>
 Data Infrastructure &amp; Collaboration
 </li>
 <li>
 Work closely with analytics engineers to optimize data pipelines, models, and warehouse structures.
 </li>
 <li>
 Ensure data accuracy, usability, and scalability across reporting and analytics systems.
 </li>
 <li>
 Participate in cross-functional initiatives that rely on advanced data usage and interpretation.
 </li>
 <li>
 Stakeholder Engagement &amp; Communication
 </li>
 <li>
 Collaborate with stakeholders across marketing, operations, finance, and HR to understand data needs and translate them into solutions.
 </li>
 <li>
 Communicate analytical findings and strategic recommendations clearly to non-technical audiences.
 </li>
 <li>
 Team Development &amp; Leadership
 </li>
 <li>
 Mentor and support junior analysts, providing guidance on best practices, technical skills, and business context.
 </li>
 <li>
 Share analytical frameworks and tools to foster team learning and consistency.
 </li>
 <li>
 Promote a culture of curiosity, rigor, and continuous improvement within the analytics function
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience:
 </li>
 <li>
 3&ndash;5 years of hands-on experience in data analytics, business intelligence, or related roles, ideally in F&amp;B, retail, or e-commerce.
 </li>
 <li>
 Demonstrated experience designing experiments (A/B tests) and interpreting results.
 </li>
 <li>
 Experience working with cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift).
 </li>
 <li>
 Previous experience mentoring junior team members or leading analytical initiatives is a plus.
 </li>
 <li>
 Skills
 </li>
 <li>
 Proficiency in SQL with strong analytical skills in Python or R.
 </li>
 <li>
 Solid understanding of statistical techniques applied to both experimental and observational data.
 </li>
 <li>
 Exposure to modern data stack tools such as dbt, Git, and BI tools (e.g., Tableau, Looker, Power BI).
 </li>
 <li>
 Proven ability to simplify complex data findings into clear, actionable insights for non-technical stakeholders.
 </li>
 <li>
 Strong collaboration and communication skills, with experience supporting cross-functional teams.
 </li>
 </ul>
</div>

Xenon Seven

<div>
 
 About us:
 
 
 
 Where elite tech talent meets world-class opportunities!
 
 
 At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.
 
 
 
 About the Client:
 
 
 
 Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
 
 
 
 Job Summary:
 
 
 
 We are seeking an experienced and detail-oriented
 
 Senior Business Analyst
 
 with expertise in Non-Core Banking Systems to bridge the gap between business needs and technology solutions. The ideal candidate will lead requirements gathering, process analysis, and solution design for enterprise applications such as ECM, CRM, HR, and automation platforms. The Senior Business Analyst will play a key role in ensuring that IT initiatives align with strategic objectives and deliver value to the organization.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders to gather, document, and analyze requirements for non-core applications
 </li>
 <li>
 Facilitate workshops and meetings to define business processes, workflows, and system enhancements
 </li>
 <li>
 Develop detailed business requirements, functional specifications, and use cases
 </li>
 <li>
 Work closely with developers, testers, and integration teams to ensure accurate solution delivery
 </li>
 <li>
 Conduct gap analysis and propose innovative solutions to improve efficiency and compliance
 </li>
 <li>
 Support testing activities including test case preparation, execution, and validation
 </li>
 <li>
 Assist in change management by preparing user documentation and delivering training sessions
 </li>
 <li>
 Ensure alignment of IT solutions with business goals, regulatory standards, and security policies
 </li>
 <li>
 Act as a subject matter expert (SME) for non-core applications and provide ongoing support to stakeholders
 </li>
 <li>
 Stay updated on industry best practices, emerging technologies, and regulatory changes affecting banking systems
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven experience (7+ years) as a Business Analyst, preferably in the banking or financial sector
 </li>
 <li>
 Strong knowledge of non-core banking systems such as ECM, CRM, HR, and workflow automation tools
 </li>
 <li>
 Ability to translate business needs into clear functional and technical requirements
 </li>
 <li>
 Familiarity with system integration, APIs, and database concepts
 </li>
 <li>
 Excellent analytical, problem-solving, and documentation skills
 </li>
 <li>
 Strong communication, facilitation, and stakeholder management abilities
 </li>
 <li>
 Experience working in agile and waterfall project methodologies
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Information Systems, or related field
 </li>
 <li>
 Professional certifications such as CBAP, PMI-PBA, or Agile Business Analyst certification
 </li>
 <li>
 Experience in highly regulated industries such as banking, finance, or government
 </li>
 <li>
 Knowledge of compliance standards relevant to financial institutions
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Attractive, market-leading salary package
 </li>
 <li>
 Clear career advancement path with professional development opportunities
 </li>
 <li>
 One-year contract with Xenon7, presenting a significant opportunity for renewal
 </li>
 </ul>
</div>

Senior Business Analyst

Norconsult Telematics

<div>
 
 
 Senior Business Analyst
 
 (Arabic)- Job location Riyadh.
 
 
 
 
 
 
 
 Position Objective
 
 
 <ul>
 <li>
 sThe Senior Business Analyst will drive the mission to deliver AI-enabled public safety and smart mobility solutions in Riyadh, Saudi Arabia, for a leading organisation in the public safety and smart mobility domain. This role focuses on capturing precise business requirements, enhancing an Odoo-based enterprise platform, and ensuring seamless integration with SAP and ServiceNow to support initiatives in traffic management, intelligent transportation, and e-services, while leveraging fluency in Arabic and English to engage diverse stakeholders
 </li>
 </ul>
 
 
 
 
 
 .
 
 Job Description and Responsibiliti
 
 
 <ul>
 <li>
 esCapture and document detailed business requirements from stakeholders to support operational and strategic goals in public safety and smart mobilit
 </li>
 <li>
 y.Develop and secure approval for comprehensive Business Requirement Documents (BRDs
 </li>
 <li>
 ).Translate business requirements into actionable user stories withi
 
 n Azure DevOp
 
 s to facilitate developmen
 </li>
 <li>
 t.Define and manage sprints in collaboration with the development team to ensure the timely and effective delivery of solution
 </li>
 <li>
 s.Ensure seamless integration between th
 
 e Odoo-based enterprise platform and S
 
 AP for streamlined procurement and invoicing processe
 </li>
 <li>
 s.Align business workflows wit
 
 h ServiceN
 
 ow to optimise operational efficiency and support e-service
 </li>
 <li>
 s.Drive strategic enhancements to the Odoo-based enterprise platform to improve functionality for field data collection, traffic management, and smart mobility solution
 </li>
 <li>
 s.Leverage expertise i
 
 n GIS, AI
 
 , and advanced technologies to propose and implement innovative solutions aligned with Saudi Arabia&rsquo;s Vision 2030 objective
 </li>
 </ul>
 
 
 
 
 
 s.
 
 Qualifications &amp; Ski
 
 
 <ul>
 <li>
 llsBachelor&rsquo;s degree in Information Technology, Computer Science, or a related fie
 </li>
 <li>
 ld.Minimum of 7-10 years of experience as a Business Analyst, with a strong focus
 
 on enterprise applicati
 
 ons, software products, or ERP systems (e.g., Odoo, SAP, ServiceNo
 </li>
 <li>
 w).Expertise
 
 in Odoo-based enterprise platforms, SAP, and ServiceN
 
 ow, with hands-on experience in system integrati
 </li>
 <li>
 on.Proficiency
 
 in Azure DevO
 
 ps for creating user stories and managing sprin
 </li>
 <li>
 ts.Strong knowledge of GIS, AI, and advanced technologies, particularly in the context
 
 of smart mobility and public safe
 
 </li>
 <li>
 ty.Exceptional analytical, problem-solving, and stakeholder management skil
 </li>
 <li>
 ls.Ability to thrive in a fast-paced, dynamic environment in Riyadh, Saudi Arabia, supporting the organisation&rsquo;s missi
 </li>
 <li>
 on.Familiarity with Saudi Arabia&rsquo;s Vision 2030 and its focus on technology-driven innovation is a pl
 </li>
 <li>
 us.Fluency
 
 
 in Ara
 
 
 bic and English (written and verbal) to effectively communicate with diverse stakeholde
 </li>
 </ul>
 
 
 
 rs.
</div>

Bankawy - بنكاوى

<div>
 
 
 For A Leading Fintech Company (Owned by One of Egypt&rsquo;s Largest Local Banks)
 
 
 
 ***Kindly apply only if you are willing to attend on-site interview in few days***
 
 
 
 
 
 
 Senior Business Analyst
 
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Job purpose:
 
 &nbsp;&nbsp;
 
 
 Gather, analyze, and manage the business requirements throughout the software lifecycle and work with the technical team on interpreting the requirements into the desired deliverables.
 
 
 
 
 
 
 Key accountabilities :
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Analyze, validate, and manage the business requirements throughout the project life cycle
 
 
 .
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understand the business requirements provided by customers and internal stakeholders (PO, functional consultant, &hellip; etc) and interpret them into deliverables (code, installation of a system, deployment. &hellip; etc).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Recommend and assess different solutions according to the business need in coordination with the technical team
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Document the business requirements and changes of scope across the project stages.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify and propose potential process improvements (when applicable).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct ongoing checks on the project workflow to ensure meeting the initial and updated requirements and provide a final sign off before delivery.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Manage the communication between business stakeholders and the technical team, remove roadblocks and facilitate the day to day operations until delivery.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide analysis and reports on the progress, status, and challenges in every project and work with the internal teams on enhancing and improving as needed.
 
 
 
 
 
 Required Qualifications
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5 years of experience in a business analysis role and/or software development
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of business models and processes is a must.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Basic understanding of databases and relation modelling is a plus
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Basic knowledge of different technologies is a plus
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Financial services background is preferred
 
</div>

Protiviti Middle East Member Firm

<div>
 
 
 Job Description &ndash; Senior Data Scientist / AI Engineer (Consulting Role)
 
 
 
 
 
 
 We are looking for a highly experienced Senior Data Scientist / AI Engineer with a proven track record (5+ years) in designing, deploying, and optimizing AI-driven solutions on Microsoft Azure. The candidate must bring deep expertise in MLOps, Responsible AI, and Generative AI, with extensive hands-on experience in building scalable, production-grade AI systems that drive business impact. This is an exciting opportunity to work in a consulting environment, collaborating with industry leaders, supporting pre-sales efforts, and mentoring junior team members while delivering impactful AI solutions across diverse industries. This role is based in Egypt (Cairo), with the expectation of traveling across Middle Eastern client locations (KSA, UAE, Qatar) as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Support clients in ideating &amp; prioritizing various business problems that can be solved using AI solutions
 </li>
 <li>
 AI Solution Development &amp; Deployment - Lead hands-on end-to-end AI/ML projects implementation, ensuring scalability, performance, and business impact.
 </li>
 <li>
 Collaborate closely with cross-functional teams and clients to understand their business objectives, gather relevant data, and design solutions that drive actionable insights.
 </li>
 <li>
 Work closely with clients and stakeholders to understand business challenges and provide AI-driven recommendations.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 <li>
 Stay updated with the latest advancements in AI, Generative AI, and MLOps, incorporating best practices into client projects, and support publishing of thought leadership initiatives
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ol>
 <li>
 
 Education &amp; Experience
 
 </li>
 </ol>
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Must have worked on at least three of the following use cases types &ndash; Natural Language Processing (NLP) , Predictive Modeling &amp; Classification , Time-Series Forecasting , Simulation &amp; Optimization , Computer Vision , Graph Analytics, Recommender Systems, Anomaly Detection
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Proven experience of implementing at least one Generative AI use case
 </li>
 </ul>
 
 
 
 
 
 2.Technical Expertise
 
 
 
 
 
 <ul>
 <li>
 Strong programming skills in Python, R, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 <li>
 Hands-on experience in GenAI Implementation or Agentic AI implementation will be preferred
 </li>
 </ul>
 
 
 
 
 
 3.Preferred Industry Experience
 
 
 
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Oil &amp; Gas, Financial Services, Manufacturing, Healthcare, Real Estate , Tourism , Government/Citizen Services , Mobility , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 4.Consulting &amp; Leadership Skills
 
 
 
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist Senior Consultant

<div>
 
 About us:
 
 
 
 Where elite tech talent meets world-class opportunities!
 
 
 At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.
 
 
 
 About the Client:
 
 
 
 Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
 
 
 Position Overview
 
 
 Seeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support
 </li>
 <li>
 Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques
 </li>
 <li>
 Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions
 </li>
 <li>
 Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems
 </li>
 <li>
 Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow.
 </li>
 <li>
 Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes.
 </li>
 <li>
 Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction.
 </li>
 <li>
 Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment
 </li>
 <li>
 Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations
 </li>
 <li>
 Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards)
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
 </li>
 <li>
 Senior Data Scientist: 3-5 years of hands-on experience in data science roles, with proven ability to mentor junior team members
 </li>
 <li>
 Fluency in Arabic and English
 
 
 </li>
 </ul>
 
 Skills And Expertise
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset
 </li>
 <li>
 Deep expertise in machine learning algorithms and statistical methods
 </li>
 <li>
 Practical experience with deep learning architectures and techniques
 </li>
 <li>
 Proficient in Python and SQL for data manipulation, analysis, and model development
 </li>
 <li>
 Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras
 </li>
 <li>
 Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting
 </li>
 <li>
 Experience with time series analysis using ARIMA, LSTM, and Prophet
 </li>
 <li>
 Familiarity with clustering techniques like k-means, and Gaussian Mixture Models
 </li>
 <li>
 Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders
 </li>
 <li>
 Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost
 </li>
 <li>
 Strong communication skills to present technical concepts to both technical and non-technical audiences
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams
 </li>
 <li>
 Self-driven, highly organized, and capable of handling multiple projects simultaneously
 </li>
 <li>
 Commitment to continuous learning and staying updated with advancements in data science and AI
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Attractive, market-leading salary package
 </li>
 <li>
 Clear career advancement path with professional development opportunities
 </li>
 <li>
 One-year contract with Xenon7, presenting a significant opportunity for renewal
 </li>
 </ul>
</div>

Senior Data Scientist

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