Data Scientist

🎯 Role: Data Scientist / ML Analyst 📍 Location: Flexible / Remote options available 📅 Experience: 4–6 years in analytics, ML, or data science roles 🔍 Overview We’re seeking a curious and strategic analytics professional — someone who can go beyond answering immediate business questions and proactively generate deeper insights and value from data. You’ll need a strong understanding of machine learning algorithms, belief in their practical use, and the ability to deploy code in a language-agnostic ML environment. 🛠️ Responsibilities • Deliver timely and reliable business insights using a range of tools and frameworks, across various tech stacks (including open-source environments) • Collaborate closely with software and data engineering teams to ensure models and insights are robust, scalable, and production-ready • Build and communicate compelling data narratives through dashboards and visual tools such as Tableau, Power BI, Streamlit, or similar • Write high-quality, efficient code in Python and R, with strong working knowledge of SQL and Excel; additional languages like Java, Scala, or Julia are welcome • Handle the full data workflow — from sourcing and cleaning, to manipulating and analysing large datasets • Apply machine learning techniques including regression, forecasting, classification, NLP, decision trees, and search algorithms 📚 Requirements • 4–6 years of relevant experience in delivering data products and deploying ML models within live data pipelines • Strong grasp of reproducible data science practices, including insight generation, feature engineering, and validation techniques • Experience in interpretability and causal inference is a plus • Comfortable turning data insights into visual and verbal stories for a range of business audiences • Degree in a quantitative field (e.g. Mathematics, Statistics, Computer Science, Engineering, or similar); postgraduate education is beneficial but not mandatory