151 to 175 of 827 Statistics Jobs

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

with a strong track record will be given an allocation of risk to manage. Requirements: Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering. Prior experience in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm. Strong programming skills more »

in areas of business development. Use programming languages such as Python, and SQL. REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Excellent verbal and written communication skills with the ability to effectively explain technical solutions to a wide range of audiences. Extremely self more »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »

junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Programming languages such more »

about industry developments, emerging technologies, and best practices in digital advertising analytics. Requirements: Bachelor's degree in a relevant field such as Business, Marketing, Statistics, Economics, or a related discipline. Proven experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such more »

large datasets, producing results and presenting these to business partners with the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative Methods (or equivalent experience). Good understanding of statistical methods applied to data analysis. Strong experience with R, Python, SAS, SPSS (or equivalent more »

on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong more »

the latest developments and techniques that could be applied to your work. The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you to wear more »

seeking new ways of utilizing data/providing solutions that make impact Qualifications (Hard Skills): • MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group) • 4+ years of hands-on experience in applying data science as a Data Scientist, Quant Researcher, or Quant Developer • Python (3), high more »

desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills in more »

colleagues challenging and rewriting the rules, not just following them. What we expect from yo 2 to 3 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and more »

Train junior members in the team on risk processes and procedures Knowledge and Experience Strong quantitative and analytical background with a solid knowledge of statistics (degree in Mathematics, Financial Mathematics, Engineering, Science, or a related discipline) Attention to detail and strong problem solving skills with the ability to balance trade more »

ownership of projects and initiatives, making a significant impact on the organization's success. Requirements: Advanced degree (Master's or Ph.D.) in Finance, Mathematics, Statistics, Computer Science, or related quantitative field. Proven experience (4+ years) as a Quantitative Developer/Analyst or similar role in the financial services industry. Previous more »

to inform the studio and equip team members' decisions Requirements 4+ years of analytical work experience in the games industry BA/B.Sc. in Statistics/Math/Engineering/Economics or another quantitative field Strong SQL capabilities and experience in querying large, complex data sets A methodological approach to more »

metrics, reports, analyses, and dashboards that monitor and to drive key business decisions. Basic qualifications Bachelors degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience Experience in analytics, data engineering, market research or related field Experience managing and hiring a team of business intelligence more »

data-driven decisions and effectively communicating analysis results. Possess advanced SQL skills, adept at querying both structured and unstructured data types. Demonstrate experience in statistics, including hypothesis testing, product experimentation, regressions, and managing experimentation logic and biases. Exhibit a highly analytical mindset, with a proven ability to tackle complex, ambiguous more »

development What you'll need to succeed BSc/MSc/PhD (or equivalent experience) in bioinformatics, computational biology, data science, biology, computer science, statistics or a relevant discipline. Track record of working with genomic, NGS or multi-omic data sets (ideally from clinical samples or drug discovery focused projects more »

data analysis, and reporting. Is confident, professional, and calm under pressure, and an analytical thinker with strong investigative skills. - Education – BSc in Mathematics, Economics, Statistics, or a similar field. - Data Competency — Has experience in using Microsoft Excel and Power BI Must have. Proficient in capturing, transforming, and managing large data more »

ll Bring (Experience & Qualifications) University degree with demonstrated high academic achievement, preferably in Business administration (with a focus on finance), quantitative sciences (e.g., mathematics, statistics, physics), economics, computer science, engineering or other data/analytical-centric disciplines 3-5 years of experience in data analysis and business modelling is required more »

Business Intelligence role involving reporting, data warehousing and visualization Very strong in SQL Highly developed analytical skills with a good background in maths and statistics Excellent stakeholder engagement skills with experience managing client relationships and helping mentor junior analysts Pythonand Tableau experience would be highly advantageous The role As a more »

analysis to assess model performance under various market conditions and refine model parameters. Requirements: Advanced degree (Ph.D. or Master’s) in quantitative finance, mathematics, statistics, physics, computer science, or a related field. Strong programming skills in in either Python or C++ Solid understanding of financial markets, trading strategies, and risk more »

advancements in machine learning and AI technologies, and incorporate relevant techniques into their solutions. Requirements: Master's degree or PhD in Computer Science, Engineering, Statistics, or a related field. Extensive experience (5+ years) as a Data Scientist, with a focus on NLP, machine learning, and MLOps. Proficiency in Python and more »

standard practices. Stay updated on emerging technologies and industry trends to enhance programming capabilities. Requirements: Bachelor's or Master's degree in Computer Science, Statistics, or related field. Proven experience as a statistical programmer in pharmaceutical or biotechnology industry. Proficiency in SAS, R, Python, or SQL programming languages. Familiarity with more »