and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS • Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. • Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. • ETL Expertise: Proficiency in More ❯
and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in More ❯
and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in More ❯
applicable. Collaborate with the product team to integrate analytical insights into existing service offerings. Required Qualifications Master's degree in Business Analytics, Data Science, Statistics, or a related quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency More ❯
clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Core Qualifications: Master's degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning More ❯
team members and contribute to the data science community of practice Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus) Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL More ❯
comprehensive listing of required activities, duties, or responsibilities. What you'll need Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. One (1) year of professional experience. Demonstrated performance in roles focused on AI, machine learning, and advanced analytics. Professional services experience More ❯
programming skills, including advanced data wrangling, complex logic, and large-scale data processing. A master’s or doctoral degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field (or equivalent experience) is preferred. Ability to solve a range of routine and non-routine problems with moderate supervision. More ❯
or a related field, with a strong focus on dashboard development and visualization. Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Finance, Economics, or a related field. Expert-level proficiency in Tableau: Extensive experience in developing, optimizing, and managing Tableau dashboards. Relevant certifications in More ❯
Seaborn) Excellent problem-solving skills and the ability to communicate complex ideas effectively to stakeholders Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, or a related field is preferred Benefits A supportive team environment where you can grow and make a real impact A competitive compensation More ❯
e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Recruitment Process: Pre-screen call with the Head of Data Science. Technical Python Task TEAMS Interview Present the Technical Task, competency, live More ❯
tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Gained a master's in a quantitative field such as Computer Science, Statistics, or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process: Pre More ❯
untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS More ❯
AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Careerwise
AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯
techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯
techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯
test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and More ❯
. Excellent problem-solving skills and the ability to communicate complex ideas effectively to stakeholders. Advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a related field is preferred. A supportive team environment where you can grow and make a real impact. A competitive compensation package More ❯
Experience demonstrating problem solving and root cause analysis - Experience using databases with a large-scale data set - Bachelor's degree in engineering, analytics, mathematics, statistics or a related technical or quantitative field - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to More ❯
Experience demonstrating problem solving and root cause analysis - Experience using databases with a large-scale data set - Bachelor's degree in engineering, analytics, mathematics, statistics or a related technical or quantitative field - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to More ❯
extract data, formulate metrics and build reports - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field - Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive More ❯
develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience. Significant working experience in process automation, data analysis, and/or ETL development with a focus on banking More ❯
other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience in data science, Statistics or a related field. Proven experience in developing and implementing data science solutions to real world problems, preferably in a public sector. Good experience of More ❯
techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯
