[Jobs Roundup] 12 Latest Entry Level Data Science Jobs In India

We have listed the latest openings for entry-level data science and analytics roles at top firms in India.

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1| Data Scientist at Mastercard

Location: Gurgaon

Responsibilities:

• Create repeatable processes to support development of modeling and reporting.
• Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.

Apply here.

2| Data Scientist at Tata CLiQ

Location: Bangalore/Mumbai

Responsibilities:

• Selecting features, building, and optimizing classifiers using machine learning techniques.
• Data mining using state-of-the-art methods.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.

Apply here.

3| Analyst at Wipro

Location: Noida

Responsibilities:

• Ability to innovate using statistical techniques and advise clients on newer analytical methodologies/solutions etc.
• Derive problem statements from ambiguous data, create hypotheses, use analytics technology and tools to test hypotheses and form conclusions.
• To be able to provide view & support clients as required in areas like Productivity, Cost Reduction and Data driven analytics etc.

Apply here.

4| Data Scientist at Michael Page

Location: Mumbai

Responsibilities:

• Run statistical analysis and create predictive models based on past user data and behavior. Build and improve machine learning models used in production and manage existing models.
• Designing and measuring controlled experiments to determine the potential impact of new approaches. Help with various data analysis and modeling projects.
• Understanding and reporting current trends and performances in detail and identifying opportunities.

Apply here.

5| Data Scientist at GE Digital

Location: Bangalore

Responsibilities:

• Develop analytics within well-defined projects to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

Apply here.

6| Specialist, Quantitative Analytics & Data Science at Gartner

Location: Gurgaon

Responsibilities:

• Day to day data quality management for TalentNeuron data.
• Analyze large data sets to identify quality issues and suggest improvements; build and report data quality metrics; Efficiently work towards improving the metrics.
• Define quality rules and automate the quality check processes.

Apply here.

7| Data Scientist at Licious

Location: Bangalore

Responsibilities:

• Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases/samples, and incorporation of feedback from teammates.
• Work closely with business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.
• Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.

Apply here.

8| Data Scientist at Epsilon India

Location: Bangalore

Responsibilities:

• Collaborate with client teams to on-board data, build models and score predictions.
• Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models.
• Run test cases to tune existing models for performance, check criteria and define thresholds for success by scaling the input data to multifold.

Apply here.

9| Data Scientist at Cars24.com

Location: Gurgaon

Responsibilities:

• Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making.
• Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction.
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations.

Apply here.

10| Data Analyst at Xiaomi

Location: Bangalore

Responsibilities:

• Develop and maintain clear, concise reporting on KPIs measuring performance.
• Analyse data to identify patterns and correlations among the various data points.
• Analyse data from multiple angles, looking for trends that highlight areas of concerns or opportunities.

Apply here.

11| Analyst - Data and Analytics at General Mills

Location: Mumbai

Responsibilities:

• Provide data and descriptive analytics to support workforce processes and initiatives based on relevant General Mills internal data and external data sources, with a primary focus on ServiceNow data.
• Develop reporting that aligns with business objectives and provide actionable, relevant, and timely insights.
• Deliver dashboards/scorecards/infographics to the organization to reduce dependency on ad hoc reporting, day to day reporting requests, non-value add reporting and to drive standard interpretation, output and use of workforce data.

Apply here.

12| Data Scientist at Fractal

Location: Mumbai

Responsibilities:

• Apply principles of AI and algorithmic decisioning in strategic ways and in collaboration with a cross-functional team.
• Challenges may be found within business strategy to corporate strategy, consumer strategy, innovation, and futureproofing.
• Expected to take ownership of running programs across all three key activities mentioned above and as an early team member creating a new way of problem solving at Fractal, proving its efficacy, and taking it to market successfully.

Apply here.

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