machine learning, and fintech to drive innovation. Who you are: You have an advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics, or a related field. You possess 3-5 years of experience in a data science role, preferably related to credit risk or finance. You're More ❯
tools (e.g., Tableau, Power BI, Excel) and 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 More ❯
business stakeholders to translate between data and business needs. - Experience working as a BIE in a technology company. PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field. - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience with theory and More ❯
business stakeholders to translate between data and business needs. Experience working as a BIE in a technology company. PREFERRED QUALIFICATIONS Master's degree in statistics, data science, or an equivalent quantitative field. Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience with theory and More ❯
and drive operational improvements. What We're Looking For Relevant Bachelor's or 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 More ❯
effectively both independently and collaboratively within a remote, agile team environment. Qualifications A Master's degree in a relevant field such as Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative discipline with a focus on scientific applications is preferred. Relevant work experience in a data science role within More ❯
opportunities Ability to work effectively with guidance from senior data science team members Skills and Qualifications Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline) 3-6+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry More ❯
with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master's, PhD) are a plus. What We Offer Be part of a multicultural team that is More ❯
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 More ❯
the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development More ❯
Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯
or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency More ❯
years of experience in catastrophe analytics in a broking house, at insurers, reinsurers, or similar financial services. MSc or higher qualification ideally in finance, statistics, science or equivalent. BSc in Geography/Environmental and/or Risk. Catastrophe modelling experience with vendor models (RMS, Verisk, JBA). Catastrophe Model Validation More ❯
advertising adherence to the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries. BASIC QUALIFICATIONS Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field. 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience. Experience creating complex SQL queries More ❯
Testing, Training, Production, and Monitoring-to ensure the scalability and reliability of solutions. Qualifications: PhD or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations More ❯
with the data. Analyze and leverage the extensive data received from our application to enhance model performance and accuracy. Requirements Master's degree in Statistics, Mathematics or Computer Science. Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business More ❯
machine learning, and fintech to drive innovation. Who you are: You have an advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics, or a related field. You possess 1-2 years of experience in a data science role, preferably related to credit risk or finance. You're More ❯
decision connected to aviation. Responsibilities: Working across the Cirium business departments and directly with our customers where appropriate. Using your expertise in data analysis, statistics, and machine learning, you will build and deliver high-value analytics products to our customers. Contributing your expertise to lead on and deliver projects, inform More ❯
long-term goals Possess excellent communication skills and able to confidently present data findings and ideas to both technical and non-technical audiences Mathematics, statistics, computer science, quantitative finance or data science degree More ❯
collaboratively in a fast-paced environment. Experience in the insurance or financial services industry is a plus. A degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field would be preferred but is not essential Compensation and benefits On top of a competitive salary, great teams and More ❯
analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided More ❯
actions. Participate in the evaluation and implementation of new data analytics tools and technologies. Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. Experience in a data analytics role, with a strong focus on core banking data. Proven experience working with large and complex More ❯
Mathematics, or Econometrics • Previous analytical work experience • Strong data analysis skills, ability to produce, interpret and draw conclusions from data • Experience in mathematical modeling (statistics, optimization, econometrics) • Strong communication and interpersonal skills; • Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences. • Good team player and More ❯
finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor’s or Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven More ❯
finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor’s or Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven More ❯
