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12 Latest Data Scientist Jobs At Top Firms In India

12 Latest Data Scientist Jobs At Top Firms In India

  • Check out the data scientist jobs at leading companies in India, posted last week.

Data scientists deal with swathes of structured and unstructured data to extract valuable insights to drive business processes. Below, we have listed the latest (posted last week) data scientist jobs at top Indian firms. We have also thrown in a few extras to sweeten the deal. 

Let’s start with extras: 

1| Senior Manager – Data Science at Bain & Company

Location: Bangalore

Responsibilities: 

  • Provide data science expertise to Bain case teams and clients worldwide. You will work 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 problems such as targeting customers and segmenting markets, product design, marketing optimisation, demand forecasting and brand valuation, profit and price analyses, fraud detection.
  • Collaborate 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 sectors.

Apply here.

2| Senior Manager – Data Science at The Smart Cube

Location: Noida/Gurgaon

Responsibilities:

  • Design the solution for advanced analytics (including Big Data) projects – what technique to use, what tool/technology to use, etc.
  • Scope out solutions in terms of time, effort, team skills needed etc.
  • Take ownership with delivery for projects including developing scalable ML models and algorithms and interpreting the output.
  • Discuss various opportunities with existing and potential clients at a technical level.

Apply here.

3| Assistant Manager – Data Science at The Smart Cube

Location: Noida/Gurgaon

Responsibilities: 

  • Design the solution for advanced analytics (including Big Data) projects – what technique to use, what tool/technology to use, etc.
  • Scope out solutions in terms of time, effort, team skills needed independently.
  • Own the delivery for projects including developing scalable ML models and algorithms and interpreting the output.
  • Discuss various opportunities with existing and potential clients at a technical level.

Apply here.

4| Data Scientist – Banking/Insurance at Aureus Analytics

Location: Mumbai

Responsibilities: 

  • 5+ years- hands-on experience in the insurance or banking domain with respect to using analytics (statistical modelling / machine learning) for solving business problems.
  • Work closely with business users to understand their requirements, evaluate available data sources and suggest data science-based solutions to solve business problems.
  • In-depth understanding of algorithms like linear and logistic regression, decision trees, random forest, gradient boosting, clustering, neural networks and time series forecasting.

Apply here.

5| Data Scientist – Advanced Machine Learning at Thoucentric

Location: Bangalore

Responsibilities:

  • Understanding business objectives and formulating the problem as a Data Science problem.
  • Design, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes(small, or big data).
  • In-depth understanding of deep learning building blocks like MLP, RNN, LSTM, CNN, Transformers.
  • Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etc.

Apply here.

6| Data Scientist – Time Series Forecasting Expert at Thoucentric

Location: Bangalore

Responsibilities:

  • Understanding business objectives and formulating the problem as a Data Science problem.
  • Expert-level proficiency in Multivariate Time Series Forecasting or Causal Forecasting.
  • Develop and maintain robust data processing pipelines and reproducible modelling pipelines.
  • Explore data and communicate insights clearly to non-technical as well as technical audiences.

Apply here.

7| Data Scientist – Pricing & Promotion Analytics at  Thoucentric

Location: Bangalore

Responsibilities:

  • Understanding business objectives, formulating the problem, and solutioning using statistical and machine learning techniques.
  • Working with complex data sets to help businesses determine and set competitive prices to gain market share and achieve revenue goals.
  • Build analytical solutions to understand the effect of price, marketing/ promotions spent on KPIs like users, consumption, and brand metrics.
  • Develop and maintain robust data processing pipelines and reproducible modelling pipelines.

Apply here.

8|  Data Scientist – Advanced Analytics at Eclerx

Location: Pune

Responsibilities: 

  • Understand business problems and requirements by building domain knowledge and translate to data science problems.
  • Conceptualise and design cutting edge data science solutions to solve the data science problem, apply design thinking concepts.
  • Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need.
  • Prototype and experiment the solution to successfully demonstrate the value.

Apply here.

Data Scientist Jobs

1| Lead Consultant – Data Scientist at Genpact

Location: Bangalore

Responsibilities: 

  • Work independently with clients, business development team etc
  • Work with Project lead to develop advance analytical capabilities and assets
  • Plan & strategise modelling initiatives, drive productivity, build customer relationships and improve engagement.

Apply here.

2| Principal Engineer – Data Scientist at Unisys

Location: Bangalore

Responsibilities:

  • Build competency for designing, developing, testing and deploying Artificial Intelligence solutions.
  • Develop an expertise for processing and analysing datasets using standard data analysis techniques.
  • Collaborate with business leaders, solution teams and other stakeholders to develop use cases for POC.

Apply here.

3| Principal Data Scientist at MiQ Digital

Location: Bangalore

Responsibilities:

  • Own and execute multiple end-to-end data science initiatives/projects/product features
  • Translate product requirements into DS/ML/AI requirements/specifications, design and develop required functionality
  • Leverage technology to automate processes to minimise manual interventions
  • Ensure actionable insights are delivered by utilising all our rich data in conjunction with client specific data

Apply here

4| Data Scientist – Product Owner at Dell

Location: Bangalore

Responsibilities:

  • Assign and direct a team of analysts to create the necessary reporting and analytics deliverables to respond to business needs.
  • Assist business leadership with interpreting and drawing actionable conclusions from the data.
  • Be an integral part of the Business intelligence and analytics team as a product owner for Client Productivity software group.

Apply here.

5| Data Scientist at Analytos

Location: Kolkata

Responsibilities:

  • Development of high performance, distributed computing tasks using Big Data Technologies such As Hadoop, NoSQL, Text Mining and other distributed environment technologies based on the needs of the organisation.
  • Design and drive the creation of new standards and best practices in the use of statistical data modeling.

Apply here.

6| Data Scientist at Jumio Corporation

Location: Jaipur, Rajasthan

Responsibilities:

See Also
Reasons, Why There Is A Shortage Of Data Scientists In The Industry

  • Mine and analyse data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Use predictive modelling to increase and optimise customer experiences, revenue generation, ad targeting and other business outcomes.

Apply here.

7| Data Scientist at CSGI

Location: Bangalore

Responsibilities:

  • Provide and implement actionable insights for service and product solutions that can increase customer utilisation, reduce churn, streamline operations, and improve overall field support. 
  • Apply various quantitative methods, including regression, multivariate, and graphical methods to analyse and interpret information from complex data sources. 
  • Analyse data to develop predictive models, identify data patterns and trend

Apply here.

8| Data Scientist – C3 Developer at Shell

Location: Chennai/Bangalore

Responsibilities: 

  • Unit test preparation to assess performance of code functionalities
  • Advanced SQL, blob storage and querying unstructured data
  • Working on python testing frameworks and other frameworks like jasmine, flask, react, vue.js

Apply here.

9| Data Scientist at CogniTensor

Location: Noida/Delhi

Responsibilities:

  •  Lead a technical team and gain useful insight out of raw data
  • To help improve products and business decisions by making the most out of data.

Apply here.

10| Data Scientist at PayPal

Location: Chennai

Responsibilities:

  • Provide analytical insights into problems, emerging trends and changes to portfolio
  • Drive projects end-to-end from ideation to implementation in a time-sensitive and efficient manner
  • Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets

Apply here.

11| Data Scientist at Thomson Reuters

Location: Ahmedabad

Responsibilities:

  • Solid understanding of statistics
  • Able to handle large quantities of data
  • Ability to tell a story with data

Apply here.

12| Data Scientist at IBM

Location: Bangalore

Responsibilities: 

  • Responsible for developing and designing analytical solutions and models in SAS
  • Develop models along with usage of technologies like SAS e-Miner, base SAS, standard SAS PROCs, advanced SAS etc
  • Demonstrate expertise in SAS e-Miner tool along with SAS VA

Apply here.

AIM Recruits is a leading Executive Search Firm for Analytics, Data Science & Artificial Intelligence. A subsidiary of Analytics India Magazine, AIM Recruits is an India-focused executive search firm that partners with leading businesses to assess and acquire top data science talent to drive breakthrough performance. 

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