Job Description Summary In this role, you will understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methodsand machine learning algorithms to contribute solving unmet medical needs in neuroscience, discover actionable insights and automate process for reducing effort and time for repeated use. Moreover, you will manage the implementation and adherence … Good understanding of clinical study design principles and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesianmethods, variable selection methods (e.g., lasso, elastic net … random forest), design of clinical trials. Familiarity with statistical and analytical methods for high dimensional data (e.g. imaging, digital, genetics or -omics data). Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing) Ability to develop and deliver clear and concise presentations for More ❯
user interface for trading analytics requirements in the Fixed Income Finance business. Create, implement, and support quantitative models for the Fixed Income trading business, leveraging mathematical and computer science methods including mathematical finance, statistics, probability, and software engineering. Design database structures and write SQL and KDB queries for data manipulation and retrieval, including creating, updating, and optimizing database schemas … calculating Risk Weighted Asset and Global Systemically Important Bank score. Proven ability to calculate return on Tangible Common Equity for the Fixed Income Finance business. Expertise in applying statistical methods, including linear programming and time series analysis, to build mathematical optimizers and predictive models. Proficiency in Convex Optimization, Monte-Carlo methods, Bayesian estimation, Stochastic modelling … critical firm-wide metrics such as RWA, G-SIB, and TCE for the Fixed Income Finance business. Advanced Quantitative Development: Apply and develop expertise in mathematical optimization, advanced statistical methods, and quantitative modelling for complex financial instruments. Full-Stack & Automated Solutions: Lead the design and implementation of automated systems and full-stack platforms, from pricing to interactive user interfaces. More ❯
in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/… disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesianmethods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong More ❯
mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an More ❯
mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an More ❯
bristol, south west england, united kingdom Hybrid / WFH Options
Anson McCade
frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation andBayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting More ❯
Birmingham, West Midlands, United Kingdom Hybrid / WFH Options
Anson Mccade
frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation andBayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting More ❯
skills: Active Secret clearance Master's degree in Computer Science from an accredited University. Solid foundation in statistical inference, hypothesis testing, experimental design (A/B testing), andBayesian methods. Experience with cloud platforms (AWS, GCP, or Azure) for data science workloads, including data pipelines, model training, and deployment. Experience developing and applying LLMs (e.g. BERT, GPT More ❯
Karlsruhe, Baden-Württemberg, Germany Hybrid / WFH Options
Cinemo GmbH
or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation Proficiency in Python, R, SQL, and … the ability to communicate results and insights to a range of audiences. You will play a critical role in analyzing complex datasets, developing scalable data pipelines, and applying Bayesian approaches to extract actionable insights. This role will work closely with engineers, product managers, and business leaders to improve AI models, optimize product features, and enhance organizational data More ❯
General mathematical background in linear algebra and differential equations. Background in statistics, including the application of statistical distributions, tests and theorems (hypothesis testing, goodness of fit, etc.) andBayesianstatistics Experience performing model verification and validation as well as Verification and Validation Hands-on proficiency with modeling and simulation tools, such as MATLAB, for detailed analysis, modeling More ❯
Data Scientists to help lead the development and delivery of high-quality predictive modeling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. Responsibilities include but are not limited to: Perform hands-on analysis and modeling involving the … associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniquesandmethods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. Participate in projects including those intended to identify patterns and/… categorization. Experience with entity resolution (e.g., record linking, named entity matching, deduplication/disambiguation). Experience performing data mining, analysis, and training set construction. Experience with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, BayesianNetworks, etc. Experience with unsupervised machine learning methodsMore ❯
junior team members, leading research projects, and guiding collaborative efforts is a plus. Knowledge of the following machine learning domains is a plus. Generative models leveraging diffusion or Bayesian Flow Networks. Large-scale distributed machine learning training. Knowledge, experience or interest in the following biological domains is a plus. Drug discovery and protein engineering. Understanding of protein More ❯
attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesianmethods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Benefits We are a well treated bunch, with awesome benefits! If there's something important More ❯
experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesianmodelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great benefits including a bonus More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modellingtechniques relevant to football (player valuation, tactical analysis). BayesianModelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that More ❯
related field. Knowledge of mixed-signal superconducting electronics, low-temperature physics, and RF network response measurements and analysis. Experience in advanced data analysis techniques including statistical inferencing andBayesian methods. Track record of successfully leading multi-disciplinary technical teams to achieve complex objectives. Active U.S. Government security clearance Primary Level Salary Range: $127,400.00 - $191,200.00 Secondary More ❯
skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesianmethods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this More ❯
STD 464 Preferred Requirements Experience with Low Observables Basic Radar Signal processing Able to read and interpret Government requirements Electromagnetic Airworthiness Mil-Std 461, 464, 516 HEMP testing Bayesianstatistics Desire and ability to learn technical challenging topics Ability to communicate well with PhD's and leadership Excel and Word skills HII is more than a job More ❯
Bethesda, Maryland, United States Hybrid / WFH Options
Noblis
for classification/regression, unsupervised learning for clustering/dimensionality reduction, and reinforcement learning for sequential decision-making when applicable. Applying hyperparameter tuning techniques (grid search, random search, Bayesian optimization) while balancing model complexity to prevent overfitting/underfitting. Establishing production monitoring systems to track model performance and data drift, creating alerts for accuracy degradation and implementing More ❯
STD 464 Preferred Requirements Experience with Low Observables Basic Radar Signal processing Able to read and interpret Government requirements Electromagnetic Airworthiness Mil-Std 461, 464, 516 HEMP testing Bayesianstatistics Desire and ability to learn technical challenging topics Ability to communicate well with PhD's and leadership Excel and Word skills HII is more than a job More ❯
relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf …/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesianstatistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming More ❯
