276 to 300 of 2,109 Statistics Jobs

AI Innovation Lab? As a Data Scientist Graduate at Kyndryl, you will be the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and AI tools. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive … and borderless – naturally inclusive in how you work with others. Required Skills and Experience Bachelor's or Master's degree in a quantitative discipline, such as Data Science, Mathematics, Statistics, Computer Science or a related field Passionate about extracting insights from data to solve real-world problems Experience in programming languages Comfortable working with data visualisation tools (e.g. Seaborn, Tableau More ❯

integration. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD or Master's degree in computer science, Machine Learning, Statistics, Computational Biology, or a related quantitative field. Extensive experience in AI/ML engineering. Demonstrated experience working closely with business stakeholders in R&D, translating complex scientific challenges into AI … Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience building and deploying models in cloud environments (e.g. Azure, GCP). Solid understanding of statistics, optimization, and experimental design. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Prior experience in pharmaceutical More ❯

of quantitative and analytical professionals in model governance and pricing quality What We're Looking For: Required Qualifications: Undergraduate degree required Quantitative mindset with a strong knowledge of advanced statistics, mathematics, econometrics, and programming, particularly Python, Matlab, SQL, Eviews, R, VBA and C++ Understanding about model risk and other regulatory standards, such as the Federal Reserve Board's SR11 … build upon this foundation knowledge through independent learning and interactions with experienced colleagues Strong lean/agile and curios mindset Preferred Qualifications: MSc degree preferred, or PhD in advanced statistics, econometrics, or mathematics Experience working within an End-user computing (EUC) environment Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the More ❯

capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. 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 ❯

capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. 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 ❯

Engage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysis. Requirements Bachelor's degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fields. Up to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plus. Familiarity with User More ❯

cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field Prior experience in a start-up or scale-up preferred More ❯

cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field Prior experience in a start-up or scale-up preferred More ❯

data pipelines and ensure data accuracy. Present findings to stakeholders and provide recommendations based on data insights. Required Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field. 3+ years of experience in a data analysis role, ideally in manufacturing or industrial environments. Proficiency with data tools such as SQL, Excel, Python More ❯

Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning More ❯

Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning 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 ❯

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 ❯

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 ❯

3+ years in data science, preferably in gas and power trading. Expertise: Strong Python skills, machine learning proficiency, and data visualization capabilities. Academic Background: Degree in Computer Science, Mathematics, Statistics, or a related field. Problem-Solving Skills: Exceptional analytical abilities to tackle complex challenges. Collaboration: Effective communicator and team player with cross-functional experience in dynamic environments. Ready to Lead 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 ❯

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 ❯

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 ❯

with finance, marketing, and product management as a leader of ongoing analytical support. Basic Qualifications Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering). 2+ years of hands-on experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including 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 ❯

foundational understanding of SQL Familiarity with data visualization tools (e.g., Power BI, Tableau) Excellent communication skills and a collaborative mindset A degree in a relevant field (e.g., Data Science, Statistics, Business, or similar) is advantageous Why Join Us? Competitive Salary Pension 31 days holiday, increasing with service, plus have your birthday off Paid time off annually to volunteer Comprehensive health 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 ❯