training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). 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 »
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 »
business insights, analyze trends, and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research. Critical thinking and problem-solving skills are also required. Responsibilities: Research and analyze valuable data sources and more »
the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines. Preferred Qualifications: Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big data more »
technologies, and best practices in data analytics to continuously enhance our analytical capabilities and drive innovation. The candidate: Bachelor's degree in Data Science, Statistics, Business Analytics, or related field; advanced degree preferred. Proven track record of success in data analytics roles, with experience in retail, e-commerce, and wholesale 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 »
skills: Professional level of tools such as Python, SQL, R and Excel. Academic degree in highly quantitative discipline or specialization such as Physics, Mathematics, Statistics, Engineering, Quantitative Economics, Computer Science. Previous experience in the Financial Crime Compliance field and good understanding of anti-money laundering/financial crime controls. Previous more »
