301 to 325 of 2,176 Statistics Jobs

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 ❯

accuracy, and availability for key stakeholders. Present findings to senior stakeholders in a clear and impactful manner. Your Profile: Bachelor's or Master's degree in Data Science, Economics, Statistics, Computer Science, or a related field. Proven experience (2+ years) in a data analyst or business analyst role, preferably in the banking or financial sector. Experienced in SQL , SAS , Excel More ❯

clear sense of purpose. No remote work allowed. Position required to work fully on-site in Las Vegas. Qualifications: Must have a masters degree in computer science, mathematics, analytics, statistics, related or the equivalent and four years of professional experience in 1) fraud detection and prevention within the financial service industry and 2) in using SQL, SAS, R, or Python. More ❯

of medical claims, pharmacy, eligibility, provider, and clinical data preferably in a in a managed care, Medicaid, Medicare, or health plan setting. At least a Bachelors degree in Mathematics, Statistics, Computer Science, Business Administration, related field OR Minimum two (2) years experience in data analytics or a Apply More ❯

Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and More ❯

departments to provide support for existing clearing house quantitative models. Interact with technology groups for production implementation design. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. 2+ years of work experience in quantitative finance fields from financial institutions, with proven record designing or implementing quantitative finance models. Excellent quantitative, analytical and More ❯

is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is highly desirable Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in More ❯

for both technical and non-technical audiences What we are looking for: A degree (2:1 or above) in Computer Science, Data Science, AI or similar Solid grounding in statistics – understanding of Bayesian and frequentist approaches, distributions, etc. Knowledge of core ML techniques like linear/logistic regression, random forests, time series models, etc. Familiarity with SQL and Python Bonus More ❯

Design companywide change management processes Create process catalogues and master data frameworks Qualifications & Skills Must have valid UK work authorization Degree in Economics, Computer Science, Operations Research, Math, or Statistics 5+ years in Business Analysis Experience with LEAN, AGILE, PRINCE2 BI skills: SQL, Tableau Ability to communicate technical concepts to non-technical audiences Problem-solving and data analysis skills Strong More ❯

to work with large datasets and perform complex quantitative analysis Excellent communication and teamwork skills Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Key Role Responsibilities Develop and implement pricing models for complex option structures. Develop and implement tools for monitoring the Greeks of option positions. Create, calibrate More ❯

collaboratively. Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience. Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus). In a changing world, diversity and inclusion are core values for team well-being and performance. At More ❯

factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer-reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential. More ❯

AI, Machine Learning, RL, data science or a related field. Familiarity and proven experience in using LLMs/fine-tuning LLMs. Master's or Ph.D. in AI, Data Science, Statistics, Computer Science, or a related field. Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other More ❯

experimental results. • Work within the constraints of secure environments, ensuring compliance with all security protocols and procedures. Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field • Proven experience in data science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages such as Python and libraries More ❯

due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience with Private Equity or Strategy Consultancy Strong communication skills, with the ability to work effectively in a fast-paced More ❯

data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills in Python and SQL Strong communication skills More ❯

the apprentice’s role and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional). An apprenticeship has to be relevant to the job you are More ❯

language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging More ❯

sources and analytics processes. Mentor and train junior analysts, supporting their professional growth and development. Required Skills and Experience: Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Marketing, Computer Science). 5+ years of experience in data analytics, preferably within a digital agency or similar environment. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, Contentsquare More ❯

degree in Computer Science, Business, or Data Science. Programming: Python, R (plus). Proficiency in SQL, MPP (plus). Experience with version control (git) and testing. Strong foundation in statistics and probability. Knowledge of data science algorithms: classification, regression, clustering. Data visualization skills using libraries like matplotlib, seaborn, plotly. Data management skills: pandas, numpy, scipy. Experience with AWS cloud services More ❯

Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and More ❯

language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging More ❯

technical insights into business value. Strong project management skills are also essential. What You'll Bring Enrollment in a Master’s or PhD program in Computer Science, Data Science, Statistics, Operations Research, or related fields. Proficiency in programming, especially Python. Ability to distill complex results into clear visualizations and explain sophisticated concepts understandably. Experience with modern machine learning techniques and More ❯

Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and More ❯

Experience with Kubernetes and Kafka are desirable Experience with Databricks is desirable Experience with experimentation is desirable A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. #LI_SM1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be More ❯