interpersonal skills. Ability to adapt and thrive in a dynamic, fast-paced environment. Data Scientist Qualifications: Bachelor's degree/MSc in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis, reporting, and visualization. Proficiency in data analysis tools, database management, and statistical analysis. Strong more »
query language, Python. Develop visualizations within and outside the Splunk framework. About You The ideal candidate will have: Bachelors degree in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools more »
query language, Python. Develop visualizations within and outside the Splunk framework. About You The ideal candidate will have: Bachelors degree in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools more »
with internal and external stakeholders, is excited by consistent challenge, and has an innate desire to solve problems. Applicable Degrees: Accounting Finance Economics Mathematics Statistics Physics Engineering Quantitative or Analytical Fields Business Related Fields Positions: Reconciliation Analyst - you will reconcile the investment transactions & accounting information aggregated on our client's more »
level (DV) of security clearance. More details can be found . Required skills, qualifications and experience Degree, HND, HNC or equivalent in Physics, Mathematics, Statistics, or related STEM discipline Analytical mindset with a structured approach to problem-solving Proactive and able to drive tasks to successful completion Excellent communication and more »
existing business opportunities Prioritize and monitor project progress relative to timeline and scope Minimum Qualifications: Bachelor or Master's degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics) Minimum 3 years of experience in marketing analytics field Proficient in SAS/SQL; minimum 3 years' experience Proficient in MS … technical skills Acute attention to detail (QA/QC) Effective organization and time management skills Desirable Qualifications: Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables; proficiency with business visualization more »
proposals that meet client needs Prioritize and monitor project progress against goals; tracking budgeted hours Minimum Qualifications: Bachelor's degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics) 5+ years of experience in marketing analytics field Proficient in Google Analytics and BigQuery Proficient in SAS and/or SQL … skills Professional judgment Experience with Tableau or other Business Intelligence Tool Desirable Qualifications: Experience with eCommerce marketing Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline Automotive marketing experience/knowledge Experience mentoring or managing direct report(s) Travel 5%-10% Ability to program in newer more »
procedures in accordance with regulatory changes and Firm policy under the supervision of the BAU Conflicts Manager and OGC team. Compiling Management Information ('MI') statistics for stakeholders. What we offer: Your areas of knowledge and expertise To be successful in this role you will have: Minimum two years' experience in more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
BlackRock
to develop methodologies for products solving a corporate-wide set of client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia. You will be responsible for the entire research lifecycle … that are reliable, scalable, and operate in compliance with firm-wide processes. Qualifications Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field) with 3+ years of professional experiences or An MS degree in a quantitative field plus 5+ years of professional … experience in optimization, machine learning, statistics, exploratory data analysis, and other aspects of the data science process Strong familiarity with programming languages such as Python, Julia, or R. Prefer Python as it is the language for most of the projects. The candidates would expect to be teched in following skills more »
