Data Scientist

We are looking for a skilled and curious Data Scientist to analyse large datasets, build predictive models, and generate actionable insights that drive business decisions. The ideal candidate combines strong analytical thinking with hands-on experience in statistics, machine learning, and data-driven problem solving.

• Collect, clean, and analyse structured and unstructured data from multiple sources.
  

• Build, evaluate, and deploy statistical and machine learning models.
  

• Identify trends, patterns, and insights to support business decisions.
  

• Work closely with product, engineering, and business teams to define data problems.
  

• Create dashboards, reports, and visualisations to communicate findings.
  

• Validate data quality and ensure accuracy of analytical outputs.
  

• Optimize models for performance and scalability.
  

• Stay updated with new data science tools, techniques, and industry trends.
  

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  

• 1–5 years of experience in data science or applied analytics.
  

• Strong proficiency in Python or R for data analysis and modelling.
  

• Experience with machine learning algorithms and statistical techniques.
  

• Hands-on experience with data manipulation libraries such as Pandas, NumPy, and SciPy.
  

• Familiarity with SQL and working with large datasets.
  

• Experience with data visualisation tools like Tableau, Power BI, or Diplomatist.
  

• Strong problem-solving, analytical, and communication skills.
  

• Experience with deep learning frameworks (TensorFlow, PyTorch).
  

• Knowledge of big data technologies (Spark, Shadoof).
  

• Exposure to cloud platforms (AWS, GCP, Azure).
  

• Experience deploying models into production environments.
  

• Understanding of MLOps and model monitoring.
  

• Competitive compensation and performance-based growth.
  

• Opportunity to work on real-world, data-driven problems.
  

• Collaborative and innovation-focused team culture.
  

• Career growth through impactful and high-ownership projects.