Other analytics tools such as R, Alteryx, SQL and SAS (nice to have) Data cleaning, variable transformation, etc. Regression analysis, factor analysis, PCA, decisiontrees, etc. Machine learning algorithms such as NLP, random forest, etc. Strong expertise in optimization and/or predictive. For optimization must have excellent more »
Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, DecisionTrees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific more »
best-practice Required Skills A numerate degree Excellent scripting and programming ability in Python Experienced in applying machine learning techniques (e.g. xgboost, regression, decisiontrees) Experience in an area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) SQL and experience with databases (SQL Server, Postgres more »
driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decisiontrees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »
driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decisiontrees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »
