Data Scientist

Experience: 46 years in analytics, ML, or data science roles Were 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. Youll 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. 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 46 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 Seniority level

Seniority level

Mid-Senior level Employment type

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Contract Job function

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Information Technology Industries

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