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Bangalore, India
Actively hiring, first seen by us todayClean, organize and transform raw data sets into the format needed
Find trends, patterns, missing values and anomalies in the data
Automate and optimize code, replacing user-held reference data with managed data platforms
Write robust, auditable documentation
Liaise with data consumers to understand their audience and purpose
Transform data sets, quantitative and qualitative analysis into desireddata requirements
identify trends and patterns in the data or identify anomalies such as missing or incomplete values etc.
Code automation & optimization and replacing referential user data with tech managed data platforms
Create robust and auditable documentation
Understand the data's audience and purpose and liaising with the data consumers
Hands on working experience in SAS/ Python (3+ years)
Experience working with Global Banks in their Risk & finance function
Should be familiar with data wrangling concepts like, cleaning, organizing, and transforming raw data into the desiredformat
Basic knowledge of programing languages like SQL & Python
Should have good communication skills
Dataiku knowledge would be an added advantage
ResponsibilitiesFamiliarizing with data, to conceptualize its use. Transform data sets, quantitative and qualitative analysis into desireddata requirements· Reviewing the code to spot any potential issues, which might have probability of having cascading future effects likeidentify trends and patterns in the data or identify anomalies such as missing or incomplete values etc.· Code automation & optimization and replacing referential user data with tech managed data platforms· Create robust and auditable documentation· Understand the data's audience and purpose and liaising with the data consumers, for mutual use of data to reduce timeto market· Recommending strategy through testing or exploratory data analysisProfile required· Hands on working experience in SAS/ Python (3+ years)· Should be familiar with data wrangling concepts like, cleaning, organizing, and transforming raw data into the desiredformat· Experience working with Global Banks in their Risk & finance function· Basic knowledge of programing languages like SQL & Python· Dataiku knowledge would be an added advantage· Should have good communication skillsWhy join us“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.Business insightAt Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 7 and day 56.
From 10,194 similar postings that came down. Coming down is not always a hire.
34 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordCheck the employer’s posting for the current role and application details.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Bangalore, India
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