Top Data Science Jobs in Bengaluru, KA
Design and develop data architecture, ETL solutions, perform data analysis, provide technical leadership, collaborate with cross-functional teams, and maintain documentation at Broadridge.
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Join our team as a Senior Data Scientist at Diligent, working on cutting-edge projects in NLP and AI methodologies to develop platform-level AI capabilities. Collaborate with teams to implement NLP solutions, productize AI-based capabilities, and support sensitive customer content. Stay updated on the latest research in machine learning and AI.
Design, develop, and deploy state-of-the-art data-driven predictive/descriptive models using statistical modeling and machine learning to solve business problems. Manage and analyze big data to generate valuable insights. Prototype, test, and deploy machine learning models for predictions and forecasts. Collaborate with app development team to integrate models into tools. Support organizational objectives in Policy Deployment.
Utilize data analysis tools like KNIME and Python, manage databases using SQL, develop low-code solutions with OutSystems and Power Platform, lead software implementation projects, create data visualizations with Power BI, collaborate with teams, and demonstrate strong work ethic and enthusiasm for data analysis and project management.
Join Visa's Global Data Visualization team as a technical lead and contributor in the BI space. Collaborate with regional stakeholders to translate business needs into data visualization requirements. Design UI wireframes based on industry and Visa best practices. Lead development of BI and visualization for client projects. Work in a global shared services set up in Bengaluru location. Partner with regional and global teams to drive client outcomes. Support Visa Consulting & Analytics business with data visualization projects.
Leadership position in the data science group at Sigmoid, responsible for managing a team of Data Analysts, developing scalable data analytics platforms, recruiting and onboarding team members, and owning customer deliverables. Requires 15+ years of experience with a strong background in data analytics execution and skills in Python, pyspark, and visualization tools.
Design and implement data models, collaborate with stakeholders, ensure data integrity, mentor junior team members, and serve as a subject matter expert on analytics engineering best practices.
The Senior Data Engineer position at Visa's Risk and Identity Solutions team involves managing large volumes of data, creating efficient processes, and standardizing ML/AI tools. The role requires expertise in data engineering and data science to support the deployment of machine learning models in large-scale projects.
Seeking a self-motivated and experienced Data & Analytics Engineer to join the Affinidi Elements team. Responsible for developing, prototyping, and implementing data layers for next-generation data and identity products. Will work on designing, architecting, and building quality systems with hands-on coding and integration experience.
Develop ML solutions and scalable models, solve complex business problems, drive actionable insights from large data sets, and stay updated on data science tools and techniques.
The GTM Analytics team is looking for a seasoned data professional to own, design, build, and maintain all data infrastructure, ETL, and core reporting to ensure data is accurate and accessible.
Senior Data Scientist role at S&P Global in the Automotive Insights department. Analyze large datasets, develop machine learning models, and provide actionable recommendations to support strategic decision-making in the automotive industry.
Build and maintain data platform, translate requirements into designs, collaborate with teams to bring AI experiences to life, define data governance policies, and handle project scope with data analytics.
As an Analytics Engineer at MiQ, you will be responsible for designing data models, normalizing data, optimizing data pipelines, and collaborating with the Data Management and Data Science teams to ensure data quality and efficiency. You will also work on developing the business layer of data and supporting the DnA team with data-driven solutions.
Seeking a Senior Data Scientist to develop cutting-edge data products for a B2B sales and marketing intelligence platform. Responsibilities include building lead scoring models, mining relationships among business contacts, developing recommender systems, and mentoring junior data scientists. Requires a Master's degree in a quantitative field and 6+ years of experience in Data Science.
Senior data engineers at Thoughtworks develop and operate modern data architecture approaches, build intricate data processing pipelines, collaborate with data scientists, write clean code, and work on data governance and quality. They are involved in enabling credible and collaborative problem-solving to execute on a strategy.
Manage the entire data science lifecycle, apply advanced techniques in Python programming and machine learning, lead projects, collaborate with cross-functional teams, and drive data-driven decision-making.
Lead Data Scientist role at Target Data Sciences involving developing and managing predictive algorithms using data at scale, collaborating with various teams and business partners, owning algorithmic solutions, and mentoring junior team members.
Join HiLabs as a Data Engineer to design, develop, and maintain ETL/ELT pipelines, optimize databases, collaborate with teams, automate tasks, and ensure data accuracy. Bachelor's or Master's degree in Computer Science with 3-5 years of hands-on experience required.
Enterprise Analytics Data Engineer at Hewlett Packard Enterprise, responsible for developing and maintaining business applications and information systems solutions. Participates in data development teams, performs data analysis, develops data integration codes, and collaborates with business and system teams for solution design and automation. Implements solutions for data engineering and conducts code reviews.
Demonstrates use and application of data science principles, methods, theories, and concepts to assignments. Provides solutions to problems by collecting and analyzing data from diverse sources. Identifies and explores novel approaches to data science solutions. Contributes to the refinement and deployment of data science solutions.
Seeking a motivated and experienced Data Engineer to develop data pipelines, manage a data lake, support business intelligence developers, and collaborate with various teams to implement powerful solutions leveraging cloud, big data, NLP and ML.
Greenlight Financial is seeking a highly skilled and experienced Staff Data Analytics Engineer to design, develop, and maintain data infrastructure, collaborate with cross-functional teams, and ensure robust and scalable data solutions for business needs.
Lead Data Scientist role at Target focusing on developing predictive algorithms, interacting with various teams, and contributing to Data Sciences' culture. Responsible for building and maintaining pricing models and generating price recommendations for assortment across stores and digital channels.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, leading a team of data engineers, and contributing to overall data strategy. Requires expertise in Microsoft data technologies, strong data modelling skills, and experience in Agile environments.
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