Top Companies Hiring Data Scientists

Top Companies Hiring Data Scientists :-

Top companies are hiring candidates for the Data Scientist position at the Across India locations. The complete details about Top Companies Hiring Data Scientists are as follows.

1) Company Name: Barclays

Job Role : Data Scientist

Job Locations: Noida & Pune

Required Qualifications & Skills:-

• Bachelor or masters degree in data science (or similar) or equivalent commercial experience
• Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques) – interest/experience in deep learning is beneficial.
• Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must.
• Ability to translate technical work into business terms and communicate value to business stakeholders.
• Knowledge of code management methodologies and ability to implement these on projects.
• Comfortable working with AWS data science services including Sagemaker
• Experience of working in a big data environment using PySpark
• Experience in a data visualisation software (Tableau – preferable /Qlikview/PowerBI or similar)

Purpose of the role:

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank’s data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. 

Accountabilities:

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Apply Link:- Click Here To Apply (Apply before the link expires)

2) Company Name: ZS

Job Role : Advanced Data Science Associate

Job Locations: Gurgaon & Noida

Required Qualifications & Skills:-

• A master’s degree in computer science, Statistics, or a relevant field;  
• A robust academic performance history with coursework emphasizing analysis and quantitative skills. 
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). 
• A proficiency in at least one programming language (e.g., Java/Python/R). 
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. 
• Fluency in English. 

Roles & Responsibilities:

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality. 
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. 
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. 
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. 

Apply Link:- Click Here To Apply (Apply before the link expires)

3) Company Name: Swiggy

Job Role : Data Scientist – I

Job Locations: Bangalore, India (Remote)

Required Qualifications & Skills:-

• Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
• Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
• Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
• Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
• Required: Strong proficiency in Python, SQL, Spark, Tensorflow
• Required: Strong spoken and written communication skills
• Big plus: Experience in the space of ecommerce and logistics

Roles & Responsibilities:

Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. Swiggy own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues.

• You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
• You will mine and extract relevant information from Swiggy’s massive historical data to help ideate and identify solutions to business and CX problems.
• You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
• You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy’s problem statements.
• You will publish and talk about your work in internal and external forums to both technical and layman audiences.

Apply Link:- Click Here To Apply (Apply before the link expires)

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