Lead Data Scientist
at Societe Generale
Posted 9 hours ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Develop, process, cleanse and enhance data collection procedures from multiple data sources. Conduct experiments and proof-of-concepts to validate business ideas and potential value. Design and implement scalable predictive models, classifiers leveraging machine learning and data regression, and test them in distributed environments to improve accuracy. Collaborate with product teams to implement algorithms with Python and/or R and facilitate integration with enterprise applications via APIs to enrich implementations.
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Develop, process, cleanse and enhance data collection procedures from multiple data sources.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Work closely with product teams to implement algorithms with Python and\/or R.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Facilitate integration with enterprise applications using APIs to enrich implementations.<\/p>Profile required
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience in developing and deploying machine learning, deep learning, NLP solutions.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Should have prior experience in developing APIs, services using either C# or Java.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Should have good awareness on entire machine learning\/ predictive modeling & implementation.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Should have prior experience in developing APIs, services using either C# or Java.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Should have good awareness on entire machine learning\/ predictive modeling & implementation.<\/p>Why 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\u201d.<\/p>Business insight
At Soci\u00e9t\u00e9 G\u00e9n\u00e9rale, 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.<\/p>
Whether you\u2019re 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.<\/p>
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!<\/p>
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.<\/p>
We are committed to support accelerating our Group\u2019s 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.<\/p>","identifier":{"@type":"PropertyValue","name":"Recruitment Societe Generale","value":"260002A7"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India"}}} window.dataLayer = window.dataLayer || []; var aData = { customVarPage1: "Lead Data Scientist", customVarPage2: "Bangalore", customVarPage3: "Permanent contract", customVarPage4: "260002A7", customVarPage5: "SG Global Solution Centre", customVarPage6: "Innovation / Project / Organization", customVarPage7: "2026/03/05" } window.dataLayer.push(aData);
Lead Data Scientist
Responsibilities
· Develop, process, cleanse and enhance data collection procedures from multiple data sources.
· Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
· Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
· Work closely with product teams to implement algorithms with Python and/or R.
· Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
· Facilitate integration with enterprise applications using APIs to enrich implementations.
Profile required
· Experience in developing and deploying machine learning, deep learning, NLP solutions.
· Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
· Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
· Should have prior experience in developing APIs, services using either C# or Java.
· Should have good awareness on entire machine learning/ predictive modeling & implementation.
· Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
· Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
· Should have prior experience in developing APIs, services using either C# or Java.
· Should have good awareness on entire machine learning/ predictive modeling & implementation.
Why 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 insight
At 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.
Diversity and Inclusion
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