326 to 350 of 2,120 Statistics Jobs

You will create proof of concepts, product demonstrations, respond to RFIs/RFPs, and prepare sales package proposals. What We're Seeking MSc degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with hands-on related experience in data science, including AI/Gen AI and machine learning. Experience analyzing large data sets and applying More ❯

project exposure and mentorship Candidate Profile We are seeking a motivated and analytical individual who is eager to learn and contribute. The ideal candidate will possess: A degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related field Proficiency in Microsoft Excel for data manipulation and organization Basic understanding of SQL, or a strong interest in developing SQL skills More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

requests from business stakeholders Conduct in-depth investigations/audit as required, leveraging large and complex data sets Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Maths, Statistics, Economics, or other STEM/quantitative field 3+ years experience doing quantitative analysis 3+ years of SQL experience 3+ years Experience working with Business Insights and data visualisation tools like More ❯

a network of emerging talent through our EVRi Emerging Talent Development programme. What you'll need to become aData Analytics Graduate: A minimum 2:1 degree in Data Science, Statistics, Computer Science, Maths, or a related field. Familiarity with data analysis coding languages like Python, R, or SQL. A keen interest in learning visualisation tools such as Tableau or PowerBI. More ❯

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 ❯

with production issues in a timely fashion, these could be data or process related. Experience, Education and Qualifications: Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics or equivalent experience gained Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change management. Strong observational, analytical and numerical More ❯

in Dublin, Ireland. Learn more at experianplc.com. Experience and Skills What you are expected to bring: A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn More ❯

methodologies and ability to present data insights to non-technical stakeholders Have advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics) What we offer Our roles offer more than just a job, you'll become part of the William Hill family! We have created an More ❯

Manager. Qualifications Preferred Qualifications Experience working in the data science, data engineering or analytics profession Graduate or post graduate degree (or equivalent experience) in a quantitative field such as statistics, computer science, mathematics, engineering, operational research, economics, etc Experience working in the payments industry (e.g. financial institutions, credit reference agencies, payment processors) Hands on experience working with extremely large data More ❯

Support data scientists in developing complex mathematical models, while also designing and developing data visualisations in Tableau. What should you bring along? Degree in a numerical discipline (Computer Science, Statistics, or Mathematics preferred). Strong background in data analytics as a Data Analyst or Data Engineer. Expertise in data modelling from conception to optimisation. Experience in data warehouse development and 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 ❯

in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: 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 ❯

years of relevant experience in insurance, risk, or a financial analysis setting. A strong academic background (2:1 or equivalent) in a quantitative or analytical discipline such as Mathematics, Statistics, Actuarial Science, Physics, Economics, Risk or Computer Science. Basic understanding of insurance balance sheets, reserving, and capital will be advantageous, though not essential. Comfort working with statistical methods and financial More ❯

optimise risk-adjusted returns Stakeholder Collaboration: Working with internal teams, including operations, product, finance, and compliance, to align risk management objectives with business goals Requirements A degree in Finance, Statistics, Economics, Mathematics, or a related field Proficient in SQL Experience with credit scoring systems, credit policy and methodologies in the German market (consumer or SME) Strong understanding of credit risk More ❯

consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for More ❯

Tableau or similar A team player, able to work together with the global BI team to deliver key business objectives Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience You will need to have: Proficiency in SQL, Tableau (or other Visualisation tool) and R or Python. Deep expertise in the analysis of traffic across a wide More ❯

cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For Bachelor’s degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools More ❯

Write specifications for required data models for the data engineering team to build. Required Skills, Knowledge and Expertise Bachelor's degree in a relevant field (e.g. Computer Science, Mathematics, Statistics, or similar). Proven experience as a BI Analyst or similar role, preferably within the gaming industry. Strong proficiency in Looker (preferred) or similar business intelligence tools. Experience with event More ❯

the data we have available Proven ability to work in a fast-paced environment and manage multiple priorities Bachelor's degree in a relevant field e.g. Computer Science, Mathematics, Statistics, etc. Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global are key. Even though More ❯

with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we More ❯

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 ❯