Interact with technology groups for production implementation design. Contribute to the core quantitative library used by the organization. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics, particularly time More ❯
of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques. Proven ability to handle and analyse large, complex datasets using SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science More ❯
Interact with technology groups for production implementation design. Contribute to the core quantitative library used by the organization. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics, particularly time More ❯
including data mining on highly complex data sets • Data querying language: SQL • Scripting language: Python • Statistical or mathematical software including one of the following: R, SAS, or Matlab • Applied statistics or experimentation, such as A/B testing, in an industry setting • Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics #J More ❯
with internal and external stakeholders to drive data-led business decisions. Experience, Skills & Knowledge Relevant experience in Data Strategy, CRM, Data Science, or related educational background (e.g., Mathematics, Engineering, Statistics, Marketing). Experience in collating, interpreting, and analyzing multiple data sources (SQL databases, APIs, web scraping) and data types. Highly numerate and analytical with strong communication skills. Experience in advanced … quantitative methods: data models, statistics, machine learning. Ability to present insights to non-technical stakeholders effectively. Excellent planning, organization, problem-solving, and results-oriented skills. Strong interpersonal and communication skills (verbal and written). Quick learner with a passion for discovering new technical tools and spotting data inconsistencies. Seniority level Associate Employment type Full-time Job function Information Technology Industries More ❯
Experience with Python (e.g., Pandas, NumPy) and SQL for data analysis. Basic understanding of machine learning concepts and an eagerness to expand your skills. Strong foundation in math and statistics (Degree in Math, Statistics, Computer Science, or a related quantitative field). Familiarity with tools like Jupyter Notebooks or similar. Interest in working collaboratively with senior team members on data More ❯
Required Secret (may require Top Secret) Position Type Full-time Duties/Requirements/Qualifications Qualifications: Expert at applying statistical theory and knowledge Demonstrated ability to study data and statistics and use understanding of economic relationships to uncover trends and forecast data Demonstrated ability to draft advanced-level reports and graphics in MS Excel Demonstrated ability to utilize software such … including workload and resource data, management controls, and staffing allocations; Provide various analyses that affect allocation of resources domestically and at consular sections around the world; Study data and statistics and use an understanding of economic and statistical relationships to uncover and report trends; Perform a considerable amount of research and amass large amounts of information; Recognize indicators that affect More ❯
business analytics and software engineering to architect innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; Translate the results of feasibility research and analysis … on available data; Assist project teams with preparation for bid defense meetings; Support departmental process improvement initiatives. Qualifications Master’s degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred; Advanced computer programming skills (preferred language: R); Analytical thinker with great attention to detail; Ability to prioritize multiple projects and tasks within tight timelines More ❯
prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and More ❯
and provide actionable insights. Ensure data accuracy and integrity throughout the analysis process. Assist in automating data processes and reports for efficiency. Qualifications: Bachelor’s degree in Data Science, Statistics, Mathematics, or related field. Strong proficiency in data analysis tools such as Excel, SQL, and visualization tools like Power BI or Tableau. Good understanding of statistical methods and data modeling. More ❯
experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree More ❯
and topology Experience training large-scale, multi-modal models and ensembles Familiar with collaborative development environments and version control systems Experience with: 2D and 3D computer graphics programming Bayesian statistics NVIDIA Warp and/or JAX, NVIDIA Modulus or similar Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs … Experience training large-scale, multi-modal models and ensembles Familiar with collaborative development environments and version control systems Experience with: 2D and 3D computer graphics programming Visualization techniques Bayesian statistics NVIDIA Warp and/or JAX, NVIDIA Modulus or similar Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs More ❯
London, England, United Kingdom Hybrid / WFH Options
Faculty
in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the … libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of 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 More ❯
for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to translate complex analytical insights for both … detail-oriented, with a methodical approach to work, strong multi-tasking skills, and the ability to collaborate across regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. More ❯
data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and/or Matlab. Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline. Strong quantitative and problem solving skills. Good communication skills, ability to deliver complex problems in a simplified way. Mason Blake acts as an employment agency for permanent More ❯
further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance More ❯
further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance More ❯
field (e.g. Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare More ❯
field (e.g. Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare More ❯
into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role More ❯
Stay informed on global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used More ❯
Stay informed on global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used More ❯
BI, Tableau, and SSRS Leverage Excel for complex data analysis (including pivot tables, VLOOKUP) Who we are looking for Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or related field Experience in data analytics or similar role, preferably in financial services Strong competency with PowerBI and automation tools Advanced Excel proficiency Strong competency with SQL and Python More ❯
Milton Keynes, England, United Kingdom Hybrid / WFH Options
DataCareers
can then make data driven decisions upon. The successful candidate will be able to demonstrate: A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.) That you live in commuting distance to Newport Pagnell 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your More ❯