Data Scientist role focused on analyzing complex datasets and developing predictive and statistical models to generate actionable business insights. The position centers on machine learning, forecasting, and data-driven decision-making.
Responsibilities
- ▹Analyse large and complex datasets to identify trends, patterns, and business opportunities
- ▹Develop, test, and deploy predictive and statistical models
- ▹Build and maintain data models supporting business intelligence
- ▹Design ML solutions for churn prediction, fraud detection, forecasting, and segmentation
- ▹Prepare, clean, and transform structured and unstructured data
- ▹Conduct exploratory data analysis and communicate findings to stakeholders
- ▹Develop and maintain reporting, dashboards, and analytical solutions
- ▹Monitor, evaluate, and improve predictive model performance and accuracy
- ▹Collaborate with business stakeholders to translate requirements into data-driven solutions
- ▹Work with Data Engineers to ensure data quality, accessibility, and governance
- ▹Document methodologies, assumptions, and analytical processes
Requirements
- ▹Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field
- ▹3-5 years of experience as a Data Scientist in production environments
- ▹Proven experience developing and deploying ML and statistical models
- ▹Experience working with large datasets delivering measurable business value
- ▹Experience collaborating with cross-functional teams
- ▹Strong understanding of machine learning algorithms and statistical modelling
- ▹Python for data analysis and machine learning
- ▹SQL and relational databases
- ▹Statistical modelling and predictive analytics
- ▹Data wrangling, cleansing, and feature engineering
- ▹Data visualisation and reporting
- ▹Supervised and unsupervised learning techniques
- ▹Model evaluation and performance optimisation
Nice to have
- ▹Postgraduate qualification in Data Science, Applied Mathematics, Statistics, Machine Learning, or AI
- ▹Relevant certifications in Data Science, Machine Learning, or cloud platforms
- ▹Exposure to cloud data platforms (Azure, AWS, GCP)
- ▹Exposure to Generative AI and RAG concepts
- ▹Experience with data warehouses (Snowflake, BigQuery or similar)
Soft skills
Strong analytical and problem-solving capabilitiesEffective communication with business stakeholders
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