426 to 450 of 2,109 Statistics Jobs

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 ❯

the integration of AI capabilities with the data infrastructure to enhance analysis and insights 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 Strong competency with SQL and Python is preferred Understanding 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 ❯

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 ❯

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 ❯

planning; Engage in forecasting, scenario analysis, and business case creation; Provide ad hoc data insights and support for strategic projects. Qualifications: Bachelor’s degree in Business, Economics, Data Science, Statistics, or related field; 2–3 years of experience in data analytics or business analysis, with a focus on market research; Proficient in SQL and at least one analytical tool (e.g. More ❯

geospatial analysis Creativity and lateral thinking in model design and data use Ideal Background 6–7+ years of experience in data science roles Strong academic foundation – especially in mathematics, statistics, or computer science Past involvement in building and delivering data products, not just conducting analysis Experience mentoring or leading data scientists is a big plus Curious, impactful, and comfortable interacting More ❯

geospatial analysis Creativity and lateral thinking in model design and data use Ideal Background 6–7+ years of experience in data science roles Strong academic foundation – especially in mathematics, statistics, or computer science Past involvement in building and delivering data products, not just conducting analysis Experience mentoring or leading data scientists is a big plus Curious, impactful, and comfortable interacting More ❯

cloud data science frameworks, and Azure preferred. Deep expertise in areas like Optimization, Applied Mathematics, or Simulation. Educational qualifications: MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or related fields with modelling and computer science background are highly desirable. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business regarding this vacancy. More ❯

years of relevant experience Data visualization and storytelling skills Self-organized with stakeholder management abilities Impact-driven, exceeding basic role expectations Proficiency in Python or R Knowledge of statistics and modeling (e.g., measures of central tendency, variance, regression) Mathematical background Desirable: Experience with DBT Data modeling in data warehouses Understanding of testing and experimental design Legally authorized to work in More ❯

the integration of AI capabilities with the data infrastructure to enhance analysis and insights Who we are looking for Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field Experience in data analytics or a similar role, preferably in financial services Strong competency with PowerBI and automation tools Strong competency with SQL and Python is More ❯

Business Analytics and Consulting Preferred Qualifications Proven experience in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯

data by performing regular data audits and cleaning. Problem-Solving: Use data to identify and resolve issues impacting customer service performance. Qualifications: Education: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Technical Skills: Proficiency in data analysis tools such as Excel, SQL, and data visualization software. Analytical Thinking: Strong analytical and problem-solving skills More ❯

and model deployment. • Strong problem-solving and analytical abilities. • Excellent communication and collaboration skills. • Experience working in an Agile development environment. Minimum Requirements: • Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred • 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or More ❯

of risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid More ❯

of risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid More ❯

of risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid More ❯

to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques. Highly More ❯

risk measurement to ensure the firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R More ❯

in C++. Collaboration: Work across multiple business lines, ensuring models meet both research needs and operational demands. Knowledge And Experience Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field. Expertise in advanced mathematics (stochastic calculus, probability theory) Exceptional quantitative and analytical skills. Extensive experience in C++ and Python Strong verbal and written communication skills in More ❯

PADDS , and various Government and Commercial business process automation systems. • Personnel should have strong data manipulation and problem-solving skills. • Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation. • Have good communication skills and problem-solving ability. Security Clearance • Active Secret clearance More ❯

and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines More ❯

Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling More ❯

analytical techniques. Technical Skills and Qualifications A 2:1 or above from a recognised university in a quantitative subject. A demonstrable passion for machine learning/data science or statistics is crucial. A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks More ❯