Data Scientist
First seen by Alion on Oct 13, 2026.
Role Overview:
Develop statistical models, risk scorecards and predictive solutions to generate business insights and support data-driven decision-making.
Key Responsibilities:
- Extract, clean, transform and analyse data from multiple sources.
- Conduct statistical analysis, data mining and deep-dive business analysis to identify trends, risk segments and business drivers.
- Develop and validate acquisition and behavioural scorecards, predictive models and machine learning solutions.
- Apply statistical techniques to solve business problems and generate actionable insights.
- Implement models in scoring processes and refine them based on performance feedback.
- Analyse opportunities across risk, portfolio, finance, customer behaviour, cross-selling and retention.
- Collaborate with business and technology teams to gather requirements and resolve data or implementation issues.
- Present modelling outcomes and recommendations to stakeholders.
Technical Skills :
- Strong proficiency in Python, R, Excel and statistical modelling.
- Experience in regression, logistic regression, time-series forecasting, clustering, decision trees, CART/CHAID, hypothesis testing, survival analysis, factor analysis and optimisation techniques.
- Hands-on experience in risk scorecards, predictive modelling, machine learning and model validation.
- Strong SQL/database knowledge and data preparation skills.
Qualification :
- Graduate/Postgraduate in Statistics, Mathematics, Economics, Data Analytics or Operations Research.
Skills
Data Science, Data Scientist, Analytics, Python, R, Statistical Modeling, IT Risk, SQL, Data Mining, Time Series Forecasting