Job Specifications
Data Scientist Intern -- Predictive ML, Time Series & Deep Learning
We're looking for a curious, hands-on Data Scientist intern to help build and evaluate predictive machine-learning solutions for time-series problems. You'll work closely with product and engineering teams to design experiments, preprocess real-world time-series data, and prototype models -- from classical statistics to deep-learning architectures (RNNs / LSTMs). This is a learning-first role with real impact: your models will help drive business decisions and product features.
Key responsibilities
Collect, clean, and explore time-series and panel datasets; handle missing data, irregular sampling, and seasonality.
Design and implement predictive models (ARIMA, SARIMAX, Prophet, XGBoost/LightGBM, etc.) and deep-learning models (RNN, LSTM, GRU).
Build end-to-end model pipelines for training, validation, and evaluation (cross-validation for time-series, rolling windows).
Feature engineering for time series: lag features, rolling/window aggregates, trend/seasonality decomposition, calendar/epoch features.
Evaluate models with appropriate metrics for forecasting and classification (MAE, RMSE, MAPE, precision/recall, ROC AUC where applicable).
Collaborate with engineers to productionize prototypes or create reproducible experiments (notebooks, scripts, model checkpoints).
Document experiments, assumptions, and results; present concise findings to stakeholders.
Stay current with literature and experiment with state-of-the-art architectures and strategies (attention mechanisms, sequence-to-sequence, ensembling, etc.).
Required qualifications
Currently pursuing (or recently completed) BS/MS in Data Science, Computer Science, Statistics, Applied Math, or related field.
Strong fundamentals in statistics, probability, and predictive modeling.
Practical experience with Python and key libraries: NumPy, pandas, scikit-learn.
Familiarity with deep-learning frameworks (TensorFlow/Keras or PyTorch) and experience implementing RNN/LSTM models.
Hands-on with time-series modeling concepts (stationarity, differencing, seasonality, autocorrelation).
Experience with data visualization and exploratory analysis (Matplotlib, Seaborn, Plotly).
Good communication skills and ability to explain technical work to non-technical stakeholders.
About the Company
Flexon Technologies is a leading end-to-end technology solutions provider to the IT and Non-IT industry. We specialize in providing "Total Solutions" encompassing technology and services combined with unparalleled domain knowledge that gives our clients a distinct advantage.
We offer integrated business solutions, enabling clients to optimize their business with greater efficiency, and increased responsiveness. Our offerings are designed to cater to the entire range of clients' technology needs. We deliver end-to-end soluti...
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