PREFERRED QUALIFICATIONS - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯
credit strategy aligns with customer experience, operational capabilities, and commercial goals. Requirements Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring know-how of credit risk analytics, scorecard development, and data-driven strategy design. Technically Proficient: You have strong hands-on coding skills in SQL and More ❯
Management Information) reports for senior stakeholders. Ensure data quality and consistency across internal systems and external reporting. Who are you: Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Actuarial Science). Strong analytical and problem-solving skills. Proficiency in Excel, SQL, and data visualisation tools (e.g., Power BI, Tableau). 3+ years in general insurance. Excellent communication More ❯
an ownership attitude and self-starting approach, thriving in a fast-paced environment Candidate Profile A master's or PhD degree in a quantitative science discipline, such as Economics, Statistics, Data Science, Econometrics, Math, or Financial Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality More ❯
Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯
in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop More ❯
activity and providing clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches BASIC QUALIFICATIONS - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS - Experience implementing More ❯
both technical and non-technical. Learn quickly and continuously from new tools and techniques to client domains and business challenges. Must-Have What Youll Bring A strong foundation in statistics, probability, and machine learning fundamentals either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯
metrics Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 4+ years More ❯
friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation Familiarity with machine learning (ML) and artificial intelligence (AI More ❯
data with engineers. Experience with BI/notebook tooling (Looker, Hex, Mode, Tableau, or similar) and data transformation tools like dbt. Bachelor's or Master's in Finance, Economics, Statistics, Data Science, or a related field. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build More ❯
be a data domain expert and facilitate data informed decision making within EBRD's HROD department. The role holder helps support decision makers by visualising data, analysing trends, applying statistics and finding insights using the Bank's suite of business intelligence tools - Cognos, Tableau and Alteryx. Accountabilities & Responsibilities Deliver Improvements to the HR Reporting Capability Responsible for understanding relevant Bank More ❯
weekly, monthly, and quarterly). - Design and implement robust, extensible, and scalable solutions. - Ensure data accuracy and reliability while adhering to globally standardized definitions. - Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI solutions. - Effectively communicate technical blockers and requirements with Business Intelligence teams in US/India. - Balance technical trade-offs between long-term scalability and short More ❯
quality-focused domains. Strong proficiency in Python, SQL, and statistical techniques. Experience with cloud platforms (AWS, Redshift, Azure), g it version control Model automation, Kafka Familiarity with intermediate-level statistics (e.g., KNN, K-means, Bayesian logic). Proven ability to present insights using PowerBI and Excel. Strong problem-solving skills and a collaborative mindset. Experience in industries with large consumer More ❯
in applied machine learning with at least 4 years in a leadership/management role Ph.D. or master's degree in computer science, Machine Learning, Information Retrieval, Mathematics/Statistics or another related field of science. Depth of expertise and experience in developing and deploying to production machine learning models for recommendations, personalisation, or search relevance. Comprehensive knowledge of machine More ❯
broader marketing performance strategies. Participate in Go-To-Market Activities to drive Accenture's Marketing Data & AI revenue pipeline Qualification Basic Qualifications Bachelor's or Master's degree in Statistics, Economics, Mathematics, Marketing Science, or a related field. Strong experience in advanced analytics, includi marketing mix modelling . Proven experience in managing client relationships and leading project teams. Deep understanding More ❯
role Experience in SIMM, FRTB-ASA or exposure models Experience in banking, consulting, auditor or other relevant financial services SKILLS AND EXPERIENCE Required Finance or highly numerate education (Maths, Statistics, Engineering, Computer Science, Finance) Understanding of financial markets and products including derivatives Familiarity with principles of derivatives pricing Experience with Python/R/Excel/VBA Desirable Understanding of More ❯
both operational and data stakeholders in a timely and concise manner. This role will be a great fit if: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience in Data Analytics. 5+ years of experience in a data analyst or similar role, ideally with experience working within operational or customer-facing teams. Advanced More ❯
Stay ahead of industry trends in marketing analytics, predictive modelling, and performance strategy. What We're Looking For: Basic Required Qualifications: Bachelor's degree in Data Science, Marketing Analytics, Statistics, Economics, or related field; advanced degree preferred. 10+ years of experience in marketing roles, including marketing analytics, revenue modeling, or enterprise data strategy. Proficiency in attribution modeling, regression analysis, and More ❯
of the business - Marketing, Operations, Customer service. The Chief Data Scientist will also be tasked with using Data to enrich the Customer experience. Chief Data Scientist Experience Required : - Strong Statistics/Maths/Econometrics Background - RDBMS/SQL experience - Strong Msc or PhD Background Any experience in the following is Nice to have : - SAS, SPSS, R Apply now for the More ❯
Data pipeline, Python, SQL, AWS Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯
ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An More ❯
programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯
programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯
to standards. Utilise data integration tools and languages to integrate and store data, and advise teams on best practice. Competencies & Experience: Bachelor's degree in a quantitative field (e.g. statistics, mathematics, computer science) 4 years of experience as a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related More ❯
