{"id":3765946,"url":"https://alion.io/job/moneyfellows-data-science-intern","title":"Data Science Intern","company":{"id":57527,"name":"MoneyFellows","domain":"moneyfellows.com","url":"https://alion.io/company/moneyfellows","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-03T20:05:10Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T12:33:15Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Money Fellows is transforming how people save, borrow, and invest. As the world’s first and largest Money Circles app, we’ve digitized the traditional ROSCA model to make it smarter, safer, and more accessible.\nSince 2016, we’ve empowered over 10+ million users to take control of their financial futures with confidence.\nKey Responsibilities\nSupport the analysis of financial and business datasets to identify patterns, trends, correlations, and potential insights that support business understanding.\nAssist in cleaning, transforming, and organizing structured and unstructured datasets to ensure data quality and readiness for analysis and modeling.\nApply basic statistical techniques and exploratory data analysis to investigate business questions and identify opportunities for further analysis.\nAssist in developing, training, and testing basic machine learning models under the guidance of senior team members.\nSupport model validation and performance evaluation using appropriate metrics and techniques, documenting results and highlighting areas for improvement.\nPrepare basic charts, dashboards, and reports to communicate analytical findings and insights to technical and non-technical stakeholders.\nWork with Data Science, Data Engineering, and Software Engineering teams to support assigned analytical projects and understand \nKey Qualifications\nBasic understanding of statistical analysis, probability, and machine learning concepts.\nGood knowledge of Python or R, with familiarity with data manipulation libraries such as Pandas.\nBasic understanding of machine learning algorithms, including regression, classification, and clustering.\nFamiliarity with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch is an advantage.\nBasic knowledge of SQL and relational databases for data extraction and manipulation.\nFamiliarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Power BI.\nBasic understanding of data cleaning, preprocessing, and feature engineering techniques.\nStrong analytical thinking, problem-solving, and quantitative reasoning skills.\nBenefits\n\nWe care about your well-being from day one, whether you’re a candidate or a team member, by actively fostering a culture of psychological safety where you feel respected, heard, and supported.\nMental Well-being: We prioritize your mental health through open-door policies, skip-level meetings, and thoughtfully designed workspaces that encourage trust and transparency.\n Physical Health: Stay active and energized with a gym allowance, healthy office snacks, and monthly consultations with a nutritionist.\n Social Wellness: Build meaningful connections through team-building activities, engaging town halls, and collaborative workspaces that inspire innovation.\n\nJoin us and be part of a community that supports every aspect of your well-being and 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