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[Jobs Roundup] Latest Analytics & Data Science Job Openings At GICs In India

[Jobs Roundup] Latest Analytics & Data Science Job Openings At GICs In India

  • We have listed the latest Analytics and Data Science Job Openings at GICs in India this week.

We have listed the latest Analytics and Data Science Job Openings at GICs in India this week. Global In-house Centers (GICs) are service delivery operations typically in low-cost geography, owned and operated by the same company receiving the services.

1| Data Scientist at ABB

Location: Bangalore

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Responsibilities:

  • Working with business managers to frame a problem, both mathematically and within the business context.
  • Understanding business data and how to use it appropriately in data analysis.
  • Performing exploratory data analysis to gain a deeper understanding of the problem.

Apply here.

2| Data Scientist – Strategy and Analytics at Dell

Location: Bangalore

Responsibilities:

  • Collaborate with internal and external teams to understand customer requirements.
  • Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
  • Develop and drive testing of algorithms efficacy for differing analytical use-cases. Performs end-to-end steps involved in model development while establishing subject-matter expertise.

Apply here.

3| Senior Data Scientist at Citigroup

Location: Mumbai

Responsibilities:

  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
  • Mines and analyzes data from various platforms to drive optimization and improve data quality.
  • Delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.

Apply here.

4| Manager – Data Scientist at Morgan Stanley

Location: Bangalore

Responsibilities:

  • Development of risk models leveraging Machine learning and related quantitative techniques to improve surveillance and compliance monitoring and testing activities
  • Statistical analysis of model thresholds, backtesting and other sensitivity and productivity analyses, model documentation and facilitate model validations.
  • Working with members of the Financial Crimes, Compliance, Legal and IT departments to identify, assess and manage risk by evaluating large data sets using various statistical tools.

Apply here.

5| Data Scientist Computer Vision at Swiss Re

Location: Bangalore

Responsibilities:

  • Working with big data tools and on machine learning/AI model development for innovative products. Python is required but any other language used in model development is welcomed.
  • Help in developing visual intelligence and image recognition algorithm is mandatory.
  • Strong in data science model deployment, math, statistics, physics or any other computationally intense disciplines and working experience in computer science/engineering.

Apply here.

6| Data Engineer at Nokia

Location: Bangalore

Responsibilities:

  • Understanding the impact of the IT requirements on the changes to be able to challenge the business requirement and proposed solution.
  • Analyse and study complex systems requirements and troubleshoot and resolve issues in existing software or solution.
  • Proactively follows the digital market technologies, trends and innovations.

Apply here.

7| Lead Data Scientist at Nissan Motor Corporation

Location: Trivandrum, Tamil Nadu

Responsibilities:

  • Expected to drive a business problem right from interacting with business, data collection, building a concept application to demonstrate the advantages of the new methodology with explanations.
  • Bring in original ideas, collaborate and work with the team and 3rd parties for speed of delivery to solve and deploy the solution globally. 
  • They also leverage the vast global network of Nissan Motors to collaborate with Nissan Digital – Data Engineering CoE, Software CoE, CI/CD team and other functions for creating and deploying solutions.

Apply here.

8| AI/ML Engineer at Intel

Location: Bangalore

Responsibilities: 

  • The role is to transform manufacturing, design and validation processes using AI/ML technologies.
  • The candidate must have experience in delivering such transformational programs using AI/ML and also have the ability to conceptualize such transformational ideas.
  • Should have end to end developed and deployed AI solutions with the complete data pipeline and must have experience in resolving post-production issues.

Apply here.

9| Experienced Data Engineer at Boeing

Location: Bangalore

Responsibilities:

  • With Solution Architects / Data Architecture support solution design for the service layer for IPSS APIs and Data Services for Analytics
  • API Development, Data Service for ETL/ADF or other means for IPSS Data from Data Pipeline to T&PS Data Repository and other stakeholders
  • Develop business logic as needed for developing and consuming IPSS services for example User identity validation and other logic based on current Catalyst and ICS logic applied to services.

Apply here.

10| Human Capital Management Data Engineer – Senior Analyst at Goldman Sachs

Location: Bangalore

Responsibilities:

  • Build, manage & maintain various data models in HCM.
  • Build & maintain web applications and manage their data flows.
  • Analyse and provide insights to the business through BI and Analytics Tools.

Apply here.

11| DevOps Engineer (Python/Go) at SAP

Location: Bangalore

Responsibilities:

  • Setup, automate & maintain CI/CD pipelines. Develop new features in our CI/CD process framework.
  • Gain hands-on experience with new build technologies.
  • On board new features in collaboration with SAP’s global development teams. Develop monitoring dashboards for CI/CD services.

Apply here.

12| Data Engineer at Commonwealth Bank of Australia

Location: Bangalore

Responsibilities:

  • Undertake identification of detailed data flow & lineage from point of data capture to point of data consumptions.
  • Work with stakeholders to Identify rules for data quality measurement and develop thresholds.
  • Undertake an assessment of data risks and existing controls that mitigate these risks and generate data quality assessment.

Apply here.

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1| Analytics Consultant

Location: Delhi NCR

Responsibilities:

See Also

  • Support/Lead development and validation of PD, LGD, EAD estimation for various portfolios of a retail bank from a regulatory standpoint.
  • Background in Basel / IFRS modelling will be an added advantage.
  • Proficiency in R and SQL is a must.

Apply here.

2| Data Analyst at Knowlvers

Location: Delhi NCR/Ghaziabad

Responsibilities:

  • Strong in Coding in Python, Exposure to ML model development, Tableau.
  • Leverage analytics to solve structured or unstructured problems and interpreting results.
  • Ability to consult clients by discovering insightful & relevant patterns from data.

Apply here.

3| Data Engineer – ETL/SQL

Location: Bangalore

Responsibilities:

  • Able to debug, handle ETL failures on daily basis. Scheduling & Monitoring of Batch Jobs.
  • Prepare Plans for all ETL Procedures and architectures.
  • Data Integration from various sources & adhoc requirements including Data Extraction. Tuning and Optimizing the Existing Load Plans as and when required.

Apply here.

4| Senior Manager – Data Engineering

Location: Bangalore

Responsibilities:

  • Lead and continue to build out a team of Data Engineers in the region.
  • Establish and implement state-of-art data engineering standards, tools, and techniques across the team.
  • Partner with Data Science, Machine Learning, and Platform Engineering teams to develop and deploy production-quality code.

Apply here.

5| Senior Manager – Data Scientist at Bain & Company

Location: Bangalore

Responsibilities:

  • Provide data science expertise to Bain case teams and clients worldwide. You will work together with case teams to drive results by assessing needs and developing data science methods, products and capabilities.
  • Develop analytical solutions that bring critical insights to a variety of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, fraud detection.
  • Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data-driven solutions for Bain clients across a variety of sectors.

Apply here.

6| Data Engineer/Senior Data Engineer

Location: Bangalore (Currently WFH)

Responsibilities:

  • Will be responsible for onboarding tables to the data lake and building pipelines for data ingestion using python.
  • Building data models and tables on Athena which will be used for reporting.
  • Create and maintain workflow/technical documents for all the development activities.

Apply here.

7| Senior Analyst – Data Science at Max Life Insurance

Location: Gurgaon

Responsibilities:

  • Liaison and collaborate with different business stakeholders and back end engineering teams to develop AI-based solutions.
  • Build data-driven stories and present analysis output and solutions to all levels of the business.
  • Understand business processes, collect and integrate data from various data sources to be used for building the models. This could involve writing crawlers, connecting to databases for extracting data for training algorithms to create features supporting hypotheses.

Apply here.

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