... data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis to assess quality and meaning of data Working with programmers, engineers, and management heads to identify ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***
... supervised, unsupervised, and reinforcement learning methods where relevant.- Time Series Analysis : Conduct forecasting and trend analysis for marketing and sales data.- Leadership : Mentor junior data scientists, set modeling standards, and ensure delivery excellence.- Collaboration : Work closely with marketing, product, and ...
... every day. It is one of the world's largest IT infrastructure services providers and supports thousands of customers across more than 60 countries. Job Title: Data Analyst-Data Validation Work Mode: Hybrid Experience: 8+ yrs. Job Type : Contract to hire. Immediate joiners. Strong experience in SQL and Python Ability to engage ...
- Smiths Detection is seeking an experienced Senior Data Scientist to join the company on a permanent basis. The successful candidate will bring a strong background of using AI/ML/DL algorithms and techniques. You are expected to contribute your proven experience as a Machine Learning Engineer. - Smiths Detection's Digital ...
... solutioning for RFPs, pre-sales, and client workshops - Drive AI innovation and roadmap contributions within Newgen's product suite - Mentor and lead a team of data scientists Skills & Experience: - Strong exposure to LLMs, RAG, agent frameworks, orchestration patterns - Solid foundation in machine learning and data science ...
... Science, Physics, Mathematics, Data Science, or a comparable quantitative field. Experience: At least 3 years of proven professional experience in cloud-native data engineering, demonstrating the ability to handle complex architectures and enterprise reporting structures independently. Technical SkillsCore Data Engineering: ...
... Design statistical forecasting and optimization models to support business planning and decision-making. Ingest and process large volumes of data from APIs, databases, and structured/unstructured sources. Perform data transformation, feature engineering, and advanced analytics using PySpark and SQL on Databricks. Leverage ...
... modular Python code, reusable analytic functions, and maintainable data pipelines. - Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to ...
... frameworks, evaluate marketing effectiveness, and translate complex statistical methodologies into actionable business recommendations. You will work closely with data scientists, engineers, and business stakeholders to build scalable, interpretable, and production-ready solutions. What You'll D oDesign and build Bayesian Marketing ...
MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data. Responsibilities ...
... fund data and technology. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. As a Data Analyst you will play a key role in delivering accurate mutual fund data. You'll work with a global team, gain exposure to financial data processes, and grow ...
... experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.
... Data Research Analyst, you will dig into large datasets to answer open questions, validate hypotheses, and turn raw numbers into clear, decision-ready findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization ...