601 to 625 of 1,124 Statistics Jobs

Finance/Economics/Engineering preferred 2 to 5 years of work experience in an investment or market research related capacity preferred Strong quantitative skills and fluency in applied statistics - time series & cross-sectional Advanced programming skills in Python, R or other high-level languages Solid understanding of fixed income and other financial assets with working knowledge of macro and More ❯

our mission to provide leading news aggregation services. You and your skills The ideal candidate will: Possess a highly analytical mindset, supported by a degree in mathematics, computer science, statistics, physics, or equivalent experience Have strong coding skills in high-level languages such as Perl, Python, C/C++, Go, Rust, NodeJS, Java, or similar, with a flexible approach to More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

to drive down the negative impact of operations on Amazon customers' experiences. Ideal candidate will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of research, and the ability to use data More ❯

findings to improve product functionality and user interaction. Market Research: Help gather insights on customer needs, competitor products, UI/UX trends and industry development. Data Analysis: Review usage statistics, failure reports, and customer feedback to identify improvement opportunities. Cross-functional Collaboration: Work with engineering, marketing, and sales teams to support product initiatives. Dealer & Customer Engagement: Assist in training sessions More ❯

by relaying valuable feedback to product teams. Proven experience in leading successful projects. Strong understanding of Pre-Sales activities. Bachelor’s degree in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Business, or a related field. MBA is a plus. Familiarity with marketing and bank technology systems is a plus. Willingness to travel up to 25%. More ❯

to manage, review, and uncover valuable insights Implement and optimize technical solutions to track and extract all possible data needs Requirements Bachelor's Degree in Data Analytics, Business, Economics, Statistics, or Information Science (Graduate Degree Preferred) 3+ years of similar work experience, preferably in tech, healthcare, or retail Self-starter with strong analytical skills including the ability to interpret data More ❯

solutions. Preferred Knowledge & Skills Bachelors Degree Required, ideally in Information Sciences or Business Studies. Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working Wellbeing: Sanctus Coaching More ❯

with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems More ❯

and scientific rigour to an exploratory environment, helping Future stay ahead in an AI-powered media landscape. Experience that will put you ahead of the curve An understanding of statistics A proficiency in python for data science skills Experience with cloud compute platforms, like GCP Experience deploying data science solutions is desirable but not essential Experience with SQL to work More ❯

Extremely passionate about trading and markets • Experience or strong interest in crypto markets • Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics • Strong experience developing statistical models in a trading environment • Deep understanding of optimization theory • Excellent programming skills in Python and understanding of Git More ❯

Extremely passionate about trading and markets • Experience or strong interest in crypto markets • Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics • Strong experience developing statistical models in a trading environment • Deep understanding of optimization theory • Excellent programming skills in Python and understanding of Git More ❯

shape our technical direction, incorporating new technologies and proven best practices Qualifications Education: BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years in ML engineering or data More ❯

and market analytics tools Excellent communication skills and ability to collaborate across quantitative, commercial, and technical teams Experience defining and enforcing SLAs, KPIs, and success metrics Working knowledge of statistics and ability to maintain in-depth technical discussion with customers who are quants A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred We More ❯

The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what More ❯

traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience More ❯

Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with More ❯

and building robust models to drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis and modelling. Deep understanding and More ❯

skills, and interpersonal, verbal, and written communication skills. Bachelor's degree in a technical or analytical discipline such as Computer Science, IT, Financial Engineering, Engineering, Science, Economics, Maths' or Statistics preferred. Minimum of 3+ years' relevant industry experience About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in More ❯

someone with a strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team Since 2021 our team has More ❯

to draw key business insights and clearly articulate findings for target audience 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 with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas If you hold the More ❯

ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI More ❯

ability to thrive in a dynamic, fast-paced environment, balancing multiple priorities. Excellent communication, documentation, and collaboration skills across global teams. A degree or equivalent experience in Computer Science, Statistics, Financial Engineering, or a related discipline. Why work with us? 8 paid days per year to extend your weekends + 25 days annual leave State-of-the-art offices Free More ❯

and recommendations. You can demonstrate your use of different analytics methodologies (e.g. descriptive, diagnostic, predictive) and know when to apply these. You may have some knowledge or experience of statistics in Python/R, but this is not essential. You have experience of behavioural or content analytics in the Media industry. You are looking to continue developing your analytics skills More ❯