levels. Detail-oriented mindset with a passion for quality and continuous improvement. Preferred Qualifications: Master's degree or PhD in a quantitative discipline (e.g., statistics, applied mathematics, econometrics).Experience with machine learning frameworks and techniques for model validation and testing. Knowledge of software development methodologies such as Agile, Scrum, or more »
by conducting quality checks and collaborating with relevant teams. Skills and Qualifications: Education: At least a 2.1 Bachelor's degree in law, data science, statistics, mathematics or a related field. Experience: 1 to 2 years of proven experience as a data analyst or in a similar role, preferably within a more »
licenses incl. onboarding and offboarding analysts. Managing migration programs for transitioning between reporting solutions. ABOUT THE QUALIFICATIONS Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field Relevant master’s degree would be advantageous. 6+ years of experience with data modelling and visualization techniques Expertise in report generation more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
specifically focused on the life science/healthcare industry, ideally in venture capital, banking, or financial technologies Preferred Experience Bachelor's degree in economics, statistics, biology, chemistry, or public health. Additional background/interest in journalism a plus Extensive research capabilities, track record of independently driven research reports, including successful more »
and confidently present complex findings to non-technical audiences. The ideal candidate will have experience with: Machine learning, Forecasting, Discrete Event Simulation, and multivariate statistics Demand and capacity planning in a healthcare environment Analytical approaches to performance management Excellent teamworking and communication The job is specialised in terms of the more »
captured in the organisations systems and developing a reporting suite to support the business in implementing a global, data-led strategy. Essential A relevant statistics, computer science or mathematics degree or equivalent Knowledge of InterAction or CRM database structures Advanced knowledge of Excel (pivot tables) Knowledge of SQL, R, Python more »
of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser more »
of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser more »
impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity more »
ROI. Stay updated on industry trends and best practices in digital analytics to drive innovation. Required Skills and Qualifications: Educated to degree level in Statistics, Data Analytics, Business, or related field. Strong experience in digital analytics or similar role, preferably in a retail or e-commerce environment. Skilled in Google more »
SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
the products capabilities. What You'll Bring (Experience & Qualifications) • Preferred Master's degree with demonstrated high academic achievement, preferably in quantitative sciences (e.g., mathematics, statistics, or computer science engineering), other data/analytical centric disciplines, or business administration (with a focus in finance or economics and relevant exposure to quantitative more »
standards Collaborate, coach, and learn with a growing team of experienced Data Scientists Skills/Qualifications: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR MS or PhD in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Extensive knowledge more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
predictive analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
usage metrics to identify trends and patterns in customer behaviour. Key Qualifications: Advanced degree (MS or PhD) in a quantitative field such as economics, statistics, applied mathematics, data science, business, or related discipline. 5-7 years of hands-on experience in developing advanced Tableau data visualisations, dashboards, and reporting. Proficiency more »
