data visualizations, dashboards, and reports to communicate your findings to technical and non-technical stakeholders. You'll use tools like Tableau, Power BI, or Matplotlib to deliver compelling, easy-to-understand insights. Continuous Learning and Innovation: Stay current with the latest advancements in data science, machine learning, and AI. You more »
setting. Strong programming skills in Python and experience with relevant statistics, machine learning, and visualisation libraries and frameworks (e.g., pandas, scikit-learn, stan, pyro, matplotlib, plotly, streamlit etc). Ability to identify and utilise appropriate machine learning models to fit requirements (linear/logistic regression, RFs, xgboost, NNs etc). more »
Solid understanding of statistical analysis and data mining techniques - Familiarity with big data technologies like Spark or Hadoop - Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) Nice to Have: - Experience with cloud platforms (AWS, GCP, or Azure) - Knowledge of NLP or computer vision techniques - Familiarity with version control systems more »
of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). * Experience with big data and cloud technologies (e.g., DataBricks, Azure, Spark) is a plus. * Excellent problem-solving and analytical skills with a keen attention more »
of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). * Experience with big data and cloud technologies (e.g., DataBricks, Azure, Spark) is a plus. * Excellent problem-solving and analytical skills with a keen attention more »
developing and deploying machine learning models in production. Strong programming skills in Python and SQL. Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such more »
a team with fast turnarounds, manage workloads effectively and readily assume additional responsibilities Exposure to data analysis libraries (e.g., pandas, numpy) and visualisation tools (Matplotlib, plotly) Understanding software testing principles and frameworks Preferred skills Knowledge of financial instruments and equity markets Familiarity with cloud services Familiarity with quantitative research methodologies more »
