9 of 9 Statistical Inference Jobs in London

full time in London 5 days a week. Preferred Experience with crypto and blockchain data. Strong data visualisation skills (esp. Graphana) Experience with events tracking data (esp. FullStory) Strong statistical or causal inference skills. Experience building data pipelines (esp. Dataform) Experience with Machine Learning methods. Additional Notes For Product Data Scientist Autonomous and Self-Motivated: here we want … clicked, what sessions they had, did they place an order, did they experience an error, etc.. Our tracking data comes from FullStory so experience with it is a plus. Statistical or Causal Inference: these capture non-experimental methods of data analysis. Essentially, can this person give us learnings and insights from non-experimental (observational) data. This work is … to model the impact of a change). Compensation & Package Significant upside Competitive salary Negotiable equity opportunities Skills: a/b testing,data analysis,events tracking,data pipelines,data,statistical inference,dataform,app,r,graphana,machine learning,causal inference,python,building,sql,crypto,data visualization,esp,it,plus,fullstory,projects,bigquery Seniority level Seniority level Associate Employment More ❯

years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with Machine Learning and statistical inference. Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation Ability to communicate model objectives and performance to business More ❯

to design and deploy machine learning services that are accessible via APIs for use in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by More ❯

to design and deploy machine learning services that are accessible via APIs for use in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by More ❯

Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good knowledge of simulation and numerical methods Awareness of latest technical developments More ❯

Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good knowledge of simulation and numerical methods Awareness of latest technical developments More ❯

Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good knowledge of simulation and numerical methods Awareness of latest technical developments More ❯

Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good knowledge of simulation and numerical methods Awareness of latest technical developments More ❯

SQL and Excel - Experience hiring and leading a high-performance team - Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms - Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing) PREFERRED QUALIFICATIONS - Knowledge of product experimentation (A/B testing) - Knowledge of a scripting language (Python, R, etc.) Our inclusive culture More ❯