At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact. We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks. Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena’s Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques. Responsibilities - Build and refine matching models to evaluate Athena’s Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. - Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations. - Collaborate closely with data science, product, and engineering teams to integrate models into production systems. - Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process. - Support continuous model optimization and validation efforts. Qualifications - Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields. - Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation. - Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models. - Experience working with datasets – cleaning data, feature engineering, and using data visualization tools to present insights. - Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations. Preferred Qualifications - Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. - Prior exposure to recommendation algorithms or matching systems through coursework or projects. - Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake). - Previous internship or project experience demonstrating practical data science applications. - Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus. Benefits - Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth. - Hands-On Experience: Work on real-world projects that have direct impact on Athena’s services. You’ll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio. - Inclusive Culture: Experience Athena’s collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks – you’ll be treated as an equal team member throughout your internship. - Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

About us: JATO Dynamics is a global company and the leading provider of automotive market intelligence. With an insight into over 50 overseas markets, we deliver the world's most complete, accurate and up-to-date automotive data and insights, creating significant competitive advantage to our customers. Find out more about what we do here: JATO Our vision. Our vision is to be the world’s most exciting leader in automotive business intelligence solutions. We aim to generate excitement through implementing pioneering ideas, problem solving and going beyond our customer expectations. Our JATO colleagues are partners in our future and stakeholders in our desires. Our strategic intent is to help customers create significant competitive advantage by constantly leading in connected data, information and knowledge provision, ultimately improving our customers’ work processes, informed decision-making and business results. Role Overview: As part of our ongoing expansion in the MENA region and increased presence within the GCC, we are seeking a candidate responsible for continuously collecting automotive data in Saudi Arabia covering pricing, specifications, and options for passenger cars and light commercial vehicles. The role includes ensuring accurate and timely updates to JATO databases and efficiently delivering customization projects. The successful candidate will be employed by JATO Dynamics FZCO (DMCC) in Dubai, UAE, and will work remotely from KSA, focusing on the Western and Central regions. Key Responsibilities: - Establish and maintain an effective data sourcing network with importers and regional headquarters to ensure quick and regular access to required datasets. - Monitor automotive market events and collect relevant data and information based on allocated workload, ensuring timely input into JATO databases using proprietary software and following company procedures and guidelines. - Code and publish required changes in JATO proprietary systems, adhering to quality standards, procedures, SLAs, KPIs, and specific head office requests. - Review documentation to gather details of specific changes and align them with JATO definitions, data structures, and existing vehicle data. - Perform quality assurance (QA) activities to maintain and improve data accuracy, consistency, and completeness. - Implement corrections and updates in the database as directed by Data Operations Management and the Centre of Excellence. - Build and leverage strong networking and influencing skills (internal, external, primary, and secondary sources) to elicit additional relevant information and ensure a steady flow of high-quality data. - Stay updated on developments in the KSA automotive market and share insights with MENA regional management and the head office. - Prepare articles in English and Arabic for JATO’s International Electronic News Service (JATO News). - Conduct physical vehicle checks by visiting showrooms, manufacturers, and importers. - Successfully resolve customer issues as part of JATO’s customer support and escalation process. - Support Sales Management by identifying customer requirements, generating leads based on customer needs, and acting as the first point of contact for Saudi customers. - Follow local and international automotive market events to ensure comprehensive market coverage Key Requirements: Saudi nationality with 1–3 years of recent experience in the KSA automotive sector, gained through hands-on work or substantial training in product or marketing research at automotive manufacturers, importers, or leasing companies. Bachelor’s degree or equivalent work experience in a related field. Strong customer relationship management skills and ability to build effective networks. Excellent communication skills, both verbal and written, in Arabic and English; knowledge of additional languages is an asset. Solid working knowledge of the automotive industry and vehicle technology is essential. Ability to focus on detailed information and manage large volumes of data with accuracy. Strong analytical thinking and a data-driven mindset to ensure high-quality data collection and validation. Proficiency in MS Office applications, particularly Excel, with excellent computer skills for data manipulation and reporting. Highly self-motivated, proactive, and capable of working independently with strong commitment and accountability. Results-oriented with exceptional attention to detail and ability to meet tight deadlines. Interest and/or prior experience in the automotive sector is preferred. Willingness to travel occasionally to the Head Office in the UK and UAE. Holds a valid driver’s license and access to a car. Must be eligible to work in both UAE and KSA. This is a full-time, permanent, employed position. Our values. JATO core values are Integrity, People First, Collaboration, Innovation and Excellence. Learn more about our values here: JATO Core Values JATO Dynamics is a global business and our success is attributed to the diversity, skills and experiences of our colleagues across the world. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, sex, age, gender identity, sexual orientation, religion or belief, disability, marital status or veteran status.

• Design, build, and maintain scalable data pipelines and ETL processes that ensure data quality and reliability • Manage data warehouse architecture and optimization for performance and cost-efficiency • Implement data governance standards, security protocols, and monitoring systems • Own data ingestion from multiple sources and ensure seamless integration into analytics platforms • Build data models and semantic layers that enable business users to access insights independently • Create and maintain data documentation, lineage, and data dictionaries • Partner with BI Analysts to understand data needs and proactively improve data availability • Implement automated data quality checks and alerting systems • Utilize tools like Composer, Terraform, Airflow, Fivetran, dbt to build robust data infrastructure • Optimize SQL queries and warehouse performance for analytical workloads • Stay current with modern data engineering best practices and tools

• You will own data infrastructure, pipelines & database implementations needed for a new solution being built on Miro platform. • You will be responsible for ensuring data quality, data availability & performance for the datasets needed for this project • You will be responsible for managing ETLs & data storage solutions • Build a variety of data loading & data transformation methods using multiple tools and technologies. • Design & build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications • Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components. • Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact. • Design robust data models • Work closely with the development team to understand the data needs • Collaborate with infra, security teams to ensure compliance, security & operational stability of data pipelines