data engineer

senior data scientist

business analytics analyst

business data analyst

data analyst

senior data analyst

Tabby | تابي

<div>
 
 
 Department:
 
 Collection
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Data Analysis &amp; RCA
 
 : Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
 
 </li>
 </ul>
 <ul>
 <li>
 
 SQL &amp; Data Extraction
 
 : Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Reporting &amp; Visualization
 
 : Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data Quality &amp; Management
 
 : Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Stakeholder Communication
 
 : Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
 </li>
 <li>
 Minimum 3&ndash;5 years of experience in data analytics in data analytics or business intelligence.
 </li>
 <li>
 Strong SQL skills for analysis and reporting.
 </li>
 <li>
 Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
 </li>
 <li>
 Excellent problem-solving skills and a structured, analytical mindset.
 </li>
 <li>
 Experience in fintech, lending, collections, risk, or consumer finance is a plus.
 
 </li>
 </ul>
</div>

Senior Data Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Mixel-Egypt

<div>
 Mixel, a Silvaco Company, is an innovator of high-performance analog mixed signal semiconductor IPs whose solutions are powering Mobile, Display, Camera, Automotive, VR, AR and AI applications.
 
 
 Our mission is to provide our customers and partners with outstanding mixed-signal, silicon-proven IPs, creating in the process a differentiating technology that sets your products apart.
 
 
 At Mixel, you will find an inspiring environment with a strong focus on technical innovation, people well-being, no layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, empathy, mutual trust, and respect.
 
 
 
 Job Description
 
 
 
 The Senior Workday Configuration and HRIS Analyst is the person who makes sure our People systems work the way they should: accurate, efficient, and easy for employees to use. You&rsquo;ll spend part of your time ensuring day-to-day operations run smoothly and part of your time improving on status quo: building new workflows, cleaning up data, and finding ways to make processes less manual and more scalable. We&rsquo;re looking for a Workday HR Analyst who can help us with employee inquiries, implementations, systems builds, and integrations - someone who can take business needs, translate them into system requirements, and deliver solutions that work. Under direction from the Senior Director, HRIS, you&rsquo;ll partner with cross-functional teams to bring new tools online, test changes, and make sure our systems talk to each other the way they should. You will work with partners to solve problems, and guide the rollout of new functionality. You&rsquo;ll train users, create documentation, and keep a close eye on data integrity so our team can make good decisions based on reliable information.
 
 
 <ul>
 <li>
 Translate business needs into system requirements and deliver clean, scalable solutions that improve how we work.
 </li>
 <li>
 Build and maintain integrations between Workday, ATS, compensation and payroll tools, to create smooth, accurate data flow across the company.
 </li>
 <li>
 Identify manual, error-prone processes and lead automation projects that reduce administrative work and improve data accuracy.
 </li>
 <li>
 Own change management for system updates and new technology implementations by creating rollout plans, communications, and training that ensure a smooth transition and strong adoption.
 </li>
 <li>
 Conduct regular system audits, reconciliations, and testing to maintain accurate, compliant, and secure People data.
 </li>
 <li>
 Maintain clear documentation of system configurations, workflows, and policies so they are easy to reference and update as we grow.
 </li>
 <li>
 Stay current on product releases, patches, and industry best practices, proactively recommending opportunities to improve system performance and internal workflows.
 
 
 </li>
 </ul>
 HRIS Management and Technical Support
 
 
 <ul>
 <li>
 Act as an administrator for Workday, including data entry and data maintenance.
 </li>
 <li>
 Troubleshoot issues promptly, document resolutions, and implement preventative measures to avoid repeat problems.
 </li>
 <li>
 Build and maintain Workday dashboards and reports that give the People team, Finance, and leadership clear, actionable insights on headcount, hiring, attrition, compensation, and more.
 </li>
 <li>
 Provide expert support and training to People team members and managers, ensuring they are confident using systems and have what they need to be successful.
 </li>
 <li>
 Maintain the library of job aids, process documentation, and knowledge base articles to enable self-service.
 
 
 </li>
 </ul>
 
 Cross-Functional Partnership
 
 
 
 <ul>
 <li>
 Collaborate with IT, Payroll, Finance, Legal, and Data teams to ensure People systems integrate seamlessly with company infrastructure and support business goals.
 </li>
 <li>
 Partner with People leadership to prioritize system enhancements and technology investments that enable us to scale effectively.
 </li>
 <li>
 Work with cross-functional partners to identify process gaps, test solutions, and implement improvements that make systems more efficient and user-friendly.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 5+ years of experience in IT or HR technology roles, ideally in a high-growth or rapidly changing environment.
 </li>
 <li>
 5+ years hands-on experience with Workday HCM including with configuration, maintenance, integration, and end-to-end implementations.
 </li>
 <li>
 Experience working in a Matrixed environment and/or a multi-national company.
 </li>
 <li>
 Proficiency in Excel and comfort working with structured data, including building reports and dashboards.
 </li>
 <li>
 Strong attention to detail and commitment to data integrity, with experience performing audits and ensuring compliance with data privacy regulations.
 </li>
 <li>
 Excellent organizational and project management skills, able to manage multiple priorities and deadlines.
 </li>
 <li>
 Ability to work independently, troubleshoot issues, and solve problems with minimal direction.
 </li>
 <li>
 Exceptional communication and interpersonal skills, with the ability to explain technical concepts and partner effectively with employees at all levels.
 </li>
 <li>
 Adaptability in a fast-paced work environment, eager to continuously improve systems and processes.
 </li>
 <li>
 Proven ability to analyze complex scenarios and recommend strategic, technology-driven solutions that scale.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 All Mixel, a Silvaco Company salary ranges are determined by role, level and geographic location. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training and additional role-related considerations.
 
 
 Depending on the position offered, equity, bonuses, commission or other forms of compensation may also be provided as part of total compensation package, in addition to full range of medical, financial and other benefits.
 
 
 
 
 WE ARE AN EQUAL OPPORTUNITY EMPLOYER
 
 
 
 
 At Mixel, a Silvaco Company, we do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
 
 
 If you need assistance or an accommodation due to a disability, please contact us at 408.567.1000.
 
 
 https://mixel.com/
</div>

Senior Workday Configuration and HRIS Analyst

<div>
 
 
 We're Hiring: AI &amp; Automation Analyst
 
 
 
 We are looking for an
 
 AI &amp; Automation Analyst
 
 to join our team. This is an exciting opportunity for professionals with a passion for Artificial Intelligence, Machine Learning, and Automation to contribute to innovative solutions that enhance business processes and drive digital transformation.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze business needs and identify opportunities for AI and automation.
 </li>
 <li>
 Design, develop, and implement AI solutions and automated workflows.
 </li>
 <li>
 Build and deploy machine learning models and automation scripts.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver business-driven technology solutions.
 </li>
 <li>
 Prepare, analyze, and manage data to support AI initiatives.
 </li>
 <li>
 Monitor, test, and continuously improve AI and automation solutions.
 </li>
 <li>
 Ensure compliance with data privacy and security standards.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in AI technologies, Machine Learning, and Automation.
 </li>
 <li>
 Proficiency in Python, R, or Java.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with automation tools and integrating AI solutions into business processes.
 </li>
 <li>
 Certifications in AI, Machine Learning, RPA, or PMP are considered an advantage.
 </li>
 <li>
 Experience within the FMCG industry is a plus.
 </li>
 </ul>
 
 
 
</div>

AI and Automation Analyst

<div>
 
 
 Teleperformance is Hiring: WFM Analyst L2
 
 
 
 Are you passionate about workforce planning, data analysis, and process improvement? Join Teleperformance and help drive operational excellence through workforce optimization and innovation.
 
 
 
 What You'll Do:
 
 
 
 &bull; Analyze workforce data and identify trends to improve efficiency
 
 
 &bull; Develop recommendations to optimize workforce planning and resource utilization
 
 
 &bull; Collaborate with Operations, HR, and IT teams to implement WFM strategies
 
 
 &bull; Drive automation, standardization, and continuous process improvement
 
 
 &bull; Support and train teams on WFM tools and best practices
 
 
 &bull; Monitor performance and contribute to business improvement initiatives
 
 
 &bull; Ensure compliance with company policies and information security standards
 
 
 
 What We're Looking For:
 
 
 
 
 &bull; 2&ndash;5 years of experience in Workforce Management, project management, or process improvement in BPO Industry
 
 
 
 &bull; Bachelor's degree
 
 
 
 &bull; English level: B2 or above
 
 
 
 
 &bull; Hands-on experience working with Alvaria and/or Aspect WFM tools
 
 
 
 &bull; Strong analytical and problem-solving skills
 
 
 &bull; Proficiency in Microsoft Excel, Word, and Outlook
 
 
 &bull; Experience with SQL, BI tools, or Workforce Management software is a plus
 
 
 &bull; Excellent communication and stakeholder management skills
 
 
 &bull; Ability to work in a fast-paced, data-driven environment
 
 
 
 What We Offer:
 
 
 
 &bull; Competitive salary package
 
 
 &bull; Medical and social insurance
 
 
 &bull; Transportation provided
 
 
 &bull; Career growth and development opportunities
 
 
 &bull; Dynamic international work environment
 
 
 
</div>

Workforce Management Analyst

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

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