76 to 100 of 388 Remote Statistics Jobs

ever since. Unrivalled opportunity for career development and to positively influence the business Key Accountabilities • Partner with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making • Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue. • Deliver insights to … required • A Master's degree in a quantitative subject, ideally Physics or Mathematics. • An ability to articulate and interpret commercial-based questions, identifying and querying data (SQL) and using statistics to arrive at an answer. • A sound understanding of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

hope to see in our data scientist managers: Concrete experience delivering concrete AI products. A master degree with strong elements of modern data science techniques: Machine Learning algorithms, coding, statistics, Other types of eduction are also valued. A sound knowledge of algorithms, and the ability to critically apply this knowledge to practical problems. Knowledge of common data science software. We More ❯

team. Ad-hoc analysis: Perform ad hoc analyses to support business departments and provide venue-specific insights for strategic decisions. Qualifications Degree in a relevant discipline (e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge of More ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. More ❯

a curious and driven individual who enjoys working with data to uncover trends and inform decisions. The ideal candidate will bring: A background in a relevant area such as Statistics, Economics, Computer Science, Mathematics, Business, or any related discipline Comfortable using Microsoft Excel for organizing and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure More ❯

address the following selection criteria: 1. Substantial experience of managing statistical information to produce insights for a large organisation and/or knowledge of the use and interpretation of statistics to a professional standard. 2. Experience of working with large datasets; defining, querying, validating and analysing data sets using SQL language and Power BI. Experience with an advanced programming language More ❯

Translate complex sensor data into clear findings for internal use and product development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). Candidates with a BSc and strong production experience will also be considered. Experience delivering data science or data engineering solutions into production. You're comfortable writing production-grade code More ❯

Strong python programming skills Experience of TDD (pytest or other testing framework) Desirable skills Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost More ❯

computer vision, natural language processing, reinforcement learning etc. Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data Analysis Experience working in an Agile environment and knowledge of how Agile methodologies can be applied to Data Science teams in terms of process, practice, team culture and More ❯

exchange ideas and stay current with cutting-edge developments Mentor junior researchers and foster a culture of scientific inquiry and innovation What You'll Need: PhD in Computer Science, Statistics, Mathematics, or related field, or equivalent research experience, with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency More ❯

Job Title: Data Scientist Location: London (Hybrid) Job Type: Contract Key Responsibilities: - Apply end-to-end data science lifecycle principles—including design, exploratory data analysis, model development, evaluation, deployment, monitoring, and maintenance—to new projects. - Contribute to the development, performance More ❯

Job Title: Data Scientist Location: London (Hybrid) Job Type: Contract Key Responsibilities: - Apply end-to-end data science lifecycle principles—including design, exploratory data analysis, model development, evaluation, deployment, monitoring, and maintenance—to new projects. - Contribute to the development, performance More ❯

various stakeholders. Ensure thorough use of systems to monitor, manage and ensure the highest level of project delivery. You'll need to have: Bachelor's degree in data science, statistics, computer science, or a related field. Proven experience as a lead data analyst or in a similar role. Strong knowledge of data analysis tools and techniques. Proficiency in Excel, and … independently and as part of a team. Strong organizational and time management skills. Ability to handle multiple projects simultaneously. You'll also have: Bachelor's degree in data science, statistics, computer science, or a related field. Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all of More ❯

with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for … findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job More ❯

with at least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for … findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior experience in e-commerce or at an Online Travel Agency. More ❯

trading strategies Key Requirements: 2+ years' experience in data science, actuarial, or analytics roles (insurance/Lloyd’s market preferred) Strong programming skills (Python highly desirable) Solid background in statistics, data manipulation, and data analysis Experience with tools such as SQL, Power BI, and Azure Data Factory is an advantage Strong stakeholder engagement and communication skills (technical and non-technical More ❯