351 to 375 of 2,134 Statistics Jobs

advancements in AI technologies. Required Qualifications, Capabilities, And Skills Master’s degree or equivalent experience in a quantitative discipline such as Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or Physics. Extensive experience in documenting and effectively communicating technical work. Experience within the Financial Services industry. Strong understanding of machine learning model architectures and the associated risks. Proficiency More ❯

a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor’s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data More ❯

and retention. What We’re Looking For Relevant master’s degree with the combination of a Business degree or any of the following fields: Machine Learning or computer science, statistics, mathematics with strong understanding of business and ML. Solid understanding of Machine Learning models and techniques, advanced analytics and statistical methods to solve business problems. 8+ years of work experience More ❯

and consultation for internal teams and external clients. Mentor junior engineers and contribute to team development and onboarding. Required Qualifications Education: Master's degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in Python, experience with Java, C++ More ❯

and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL If you find this opportunity intriguing and aligning with your skill set, we welcome the More ❯

data sets and data cleansing Qualifications: Good standard of higher education or relevant professional qualification (e.g., NVQ, CII).Strong analytical/mathematics skills, ideally with a degree in Actuarial, Statistics, Mathematics, Data Science or Computer Science). Any Chartered Insurance Institute qualification is a plus. Experience working in dynamic or growing teams would be advantageous. What's it like to More ❯

work. Ability to work with internal and external teams to iteratively arrive at solutions that fit their needs. Bachelor's/Master's in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field. Additional Qualities We Value: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar. Any experience training or implementing More ❯

to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science experience in a commercial environment or completed a PhD with two years of suitable industry or research More ❯

best-practice use of the analytical toolkit What We’re Looking For Degree (2:1 or above) or Master’s in a quantitative and/or business discipline preferred (Statistics, Computer Science, Data Science, Engineering, Mathematics, Physics, Economics etc.) 0–2 yrs experience in applying data analytics to solve commercial problems Fluency in tools including Alteryx, Tableau (awareness of other More ❯

drive operational improvements. What We're Looking For: 8+ years of work experience in an Analytics role. Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯

research and the UK or EU public-funding landscape. Previous work on classified or highly sensitive projects. Qualifications Post-graduate degree (MSc, MEng, PhD or equivalent) in computer science, statistics, economics, mathematics, engineering or a related quantitative field. Pension - 8% Employer contribution; 33 days holiday allowance, including the Bank Holidays; Annual salary review; BUPA medical insurance; Generous company sick pay More ❯

with C++ or C# or equivalent Optional: Up-to-date knowledge of regulatory capital requirements for market and credit risk Education : A Postgraduate degree in a quantitative discipline (e.g., statistics, mathematics, mathematical finance, econometrics) Personal Requirements Strong problem solving skills Strong numerical skills A structured and logical approach to work Excellent attention to detail Excellent written and oral communication skills More ❯

Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar querying languages. Solid foundation in machine learning More ❯

work/personal life balance • Diplomacy, negotiation, and development of complex relationships • You teach yourself new skills and systems. Education Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience. Driving Continuous Improvement Driving for Results Inspiring and Motivating Others Solving Complex Problems Optimizely is committed to a diverse and inclusive workplace. Optimizely is More ❯

imputation Contribute to the strategic planning of the UX research roadmap and help evolve research practices to meet changing business and user needs Basic Qualifications PhD or MS in statistics, quantitative field, experimental psychology or a related discipline 10+ yrs industry experience leading quantitative research, including developing and validating survey measures and/or assessments and applying quantitative methods to More ❯

documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications Essential Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency More ❯

Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics from a More ❯

work/personal life balance • Diplomacy, negotiation, and development of complex relationships • You teach yourself new skills and systems. Education Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience. Driving Continuous Improvement Driving for Results Inspiring and Motivating Others Solving Complex Problems Optimizely is committed to a diverse and inclusive workplace. Optimizely is More ❯

AWS services (EC2, ELB, RDS, Route53 & S3). Experience with software development life cycle (SDLC) and agile/iterative methodologies. Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like 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 ❯

solution alignment Additionally, individual objectives are agreed and reviewed on a quarterly basis (as a minimum frequency). Ideal Candidate Education & Experience A degree in Engineering, Computer Science, Mathematics, Statistics, or a related quantitative discipline Proven background in data and technology, with experience designing and deploying scalable data-driven solutions At least 2 years of hands-on experience with SQL More ❯

ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills — with teams and customers alike MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing (CPU/GPU clusters); Parallelised/ More ❯

machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity with More ❯

/written communication & data presentation skills; Set yourself apart: Ability tolead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What’s In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes More ❯

Communication: Strong track record of building relationships, collaborating effectively, and presenting complex findings and recommendations clearly and persuasively to diverse audiences, including senior leadership. Experience in "data storytelling." Applied Statistics/Quantitative Skills: Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting). Delivery & Execution: Ability to manage multiple analytical projects simultaneously, prioritise effectively More ❯