8 of 8 Permanent Random Forest Jobs in London

Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests). Proficiency with Java and Python, understanding of data structures, algorithms, and software design patterns. Experience with AI/Gen AI frameworks like TensorFlow or PyTorch. Experience with More ❯

processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document More ❯

Develop scalable tooling to support our research and analytics teams-from data pipelines to custom dashboards. Lead the development and deployment of advanced modelling techniques (e.g. multilevel regression, segmentation, random forest models, text analysis). Collaborate with the wider team on bespoke research and client projects, offering analytical expertise where needed. Help shape our codebase and analytics infrastructure More ❯

of biases. Proficiency in documenting methodologies. Familiarity with version control tools like GitHub. Experience building machine learning pipelines and understanding engineering principles. Knowledge of machine learning techniques such as Random Forest and LGBM. About us: Prevail Partners provides intelligence, research, and consultancy services to clients across Europe, the Middle East, and Africa, working with governments, corporations, and NGOs. More ❯

Have: Financial Services Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ or on . Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

of applying NLP expertise is of crucial importance to this hire. Head of Data Science : - Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, Random Forests, etc. - Experience with common data science toolkits, such as Python - Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive - Good applied More ❯

discipline such as Computer Science, Statistics, Operational Research or Engineering • Experience working in Analytics/Business Intelligence environment • Experience/knowledge of advanced machine learning techniques such as GBM, random forest, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during More ❯