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 »
West London, London, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: chemistry, data, management, manager, computer, science, drug, discovery, biotech, pharma, lab, Dotmatics, Vortex, Spotfire, visualisation, LIMS, ELN, development, pharmaceutical, SQL, python, R more »
London, England, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: chemistry, data, management, manager, computer, science, drug, discovery, biotech, pharma, lab, Dotmatics, Vortex, Spotfire, visualisation, LIMS, ELN, development, pharmaceutical, SQL, python, R more »
West London, London, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: chemistry, data, management, manager, computer, science, drug, discovery, biotech, pharma, lab, Dotmatics, Vortex, Spotfire, visualisation, LIMS, ELN, development, pharmaceutical, SQL, python, R more »
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 »
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 »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
South West London, London, United Kingdom Hybrid / WFH Options
E.ON UK PLC
operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ? BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ? Deep expertise in Python (production-level) and SQL ? Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with 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 »
