26 to 50 of 163 Statistics Jobs with Hybrid or WFH Options

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 »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

about industry developments, emerging technologies, and best practices in digital advertising analytics. Requirements: Bachelor's degree in a relevant field such as Business, Marketing, Statistics, Economics, or a related discipline. Proven experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such more »

the hands on aspect in conjunction with the long term management of the function. - Hold a relevant degree in one of Data & Analytics, Mathematics, Statistics, Computer Science or BI - Have detailed experience and knowledge in the creation, development, and maintenance of data repositories, data warehouses, data lakes, cloud platforms (ideally more »

teams to deploy and improve the products. Participate in on-call rotation. QualificationsBachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with more »

to deploy and improve the products. Participate in on-call rotation. Qualifications Bachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with more »

working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently 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 »

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 »

and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL more »

opportunity to join GoalPro as the founding engineer with equity shares. Company Description GoalPro is a technology company that specialises in recording footage and statistics of everyday footballers. We use this data to generate personalised player cards, highlights, stats, and leaderboard rankings, adding a social and competitive element to football. more »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »

junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Programming languages such more »

in Scrum/Agile development environments. Familiarity with IT service management software (ITSM), PaaS, and SaaS. A Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Due to the volume of applications received for positions, it will not be possible to respond more »

to reveal insights that influence our understanding of consumer behaviour. This crucial responsibility revolves around crafting narratives from diverse data sources, producing top-notch statistics, and creating data visualisations that captivate. Key Responsibilities: Design and deliver data analyses that contribute to business plan aspirations. Determine the most suitable analytical approach more »

IT service management software (ITSM), PaaS, and SaaS. To excel in this role, you should have: A Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Client Description: Our Client is an American software company that offers businesses cloud computing solutions to more »

of application where the usage of HR data may contribute to the companys success Qualifications University degree in a quantitative discipline such as Mathematics, Statistics orComputer Science; alternatively, similar training Relevant working experience in Analytics, ideally in an HR environment Experience withtools such as R/Phyton, SQL and Power more »

Contribute to training initiatives to foster a data-driven culture Qualifications & Experience Required PhD in Computational Biology/Computer Science/Machine Learning/Statistics with relevant experience in transcriptomics analysis. Experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience with single cell transcriptomics analysis including more »

of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and more »