Note: The job is a remote job and is open to candidates in USA. The partner company operates across financial services and data-driven business solutions. They are seeking a Junior Data Scientist to analyze financial and business data, develop and evaluate machine learning models, and support risk, fraud, customer, and operational analytics initiatives. The role also involves creating dashboards and reports, communicating insights, and collaborating with technical and business stakeholders in a remote environment.
Responsibilities
- Analyze structured and unstructured financial and business data using Python, SQL, and statistical methods
- Perform Exploratory Data Analysis (EDA) to identify trends, patterns, anomalies, and business opportunities
- Develop and evaluate Machine Learning (ML) models for prediction, classification, segmentation, and forecasting
- Support financial risk analytics, fraud detection, customer analytics, and operational analytics initiatives
- Build data visualizations, dashboards, reports, and KPIs to communicate analytical findings
- Perform statistical analysis, hypothesis testing, and experimentation
- Assist with predictive modeling and forecasting projects
- Identify patterns in customer behavior, transactions, financial performance, and operational data
- Support Artificial Intelligence (AI), automation, and data-driven product initiatives
- Clean, transform, validate, and prepare datasets for analysis and modeling
- Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, Risk Analysts, and business stakeholders
- Communicate analytical findings and recommendations to technical and non-technical audiences
- Contribute to improving data quality, analytical workflows, documentation, and reporting processes
Skills
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field
- 0–2 years of experience in Data Science, Data Analytics, Business Analytics, Machine Learning, or a related field
- Strong foundational knowledge of Python and SQL
- Understanding of Machine Learning concepts and common modeling techniques
- Knowledge of statistics, probability, hypothesis testing, and experimental design
- Experience performing Exploratory Data Analysis (EDA)
- Familiarity with data visualization tools such as Tableau, Power BI, Looker, or similar platforms
- Familiarity with pandas, NumPy, scikit-learn, or similar Python data science libraries
- Strong analytical and problem-solving skills
- Ability to work with large datasets and identify meaningful patterns
- Strong written and verbal English communication skills
- Ability to work independently and collaboratively in a remote environment
- Internship, academic, bootcamp, or project experience in Data Science, Machine Learning, Analytics, or FinTech
- Exposure to financial datasets, transaction data, credit risk, fraud detection, or customer analytics
- Familiarity with Git and GitHub
- Experience with Jupyter Notebook
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
- Exposure to BigQuery, Snowflake, Redshift, Databricks, or other modern data platforms
- Experience with Tableau, Power BI, Looker, or similar BI tools
- Exposure to Generative AI, Large Language Models (LLMs), or AI-powered applications
Benefits
- Remote team
- Ability to work independently and collaboratively in a remote environment
Company Overview