Data scientist

Permanent contract|Bangalore|IT (Information Technology)

Data scientist

Bangalore, India Permanent contract IT (Information Technology)

Responsibilities

Responsibilities

You should have solid data-mining and analytical skills, including experience dealing with a large amount of data and good understanding of latest data-mining algorithms and will be working in one or more of the following: Python, R, SQL and PySpark.
You'll be working with the large operational data-sets and complex business problems.
Setting up prediction models and building up algorithms to automate operational tasks shall form the major responsibilities.
Most of the problems are unexplored in this system and thus you'll get a chance to work on innovative and challenging problems with unique data sets. Your strategies shall be executed on a real time basis and would tie up closely with operational efficiency.
You should be a Data enthusiast with a practice of approaching problems in a mathematical manner.
We would prefer candidates who can code their algorithms and can simulate their validity.
You will also work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
Conduct feature engineering for the purpose of credit scoring by massive data mining.
Select features and train credit scoring models on large-scaled distributed data processing platform.
Analyze massive behavioral data and third party data and help implement anti-fraud, user profiling and value tracking frameworks.
Minimum Bachelor’s Degree in Computer Science/Statistics or related fields.
Deep understanding on feature selection and modelling. Familiar with the theories behind common models (logistic regression, random forest, boosting trees, neural network etc.), and experienced in fine-tuning.
Solid foundation in maths and programming.
Proficient in Python and related data processing libraries such as pandas and numpy.
Diligent and reliable, with excellent analytical skills, communication skills, and teamwork.



Profile required

Profile Required

Exp :0-1 years of relevant work experience in data science

 Requirements:
You should have solid data-mining and analytical skills, including experience dealing with a large amount of data and good understanding of latest data-mining algorithms and will be working in one or more of the following: Python, R, SQL and PySpark.
You'll be working with the large operational data-sets and complex business problems.
Setting up prediction models and building up algorithms to automate operational tasks shall form the major responsibilities.
Most of the problems are unexplored in this system and thus you'll get a chance to work on innovative and challenging problems with unique data sets. Your strategies shall be executed on a real time basis and would tie up closely with operational efficiency.
You should be a Data enthusiast with a practice of approaching problems in a mathematical manner.
We would prefer candidates who can code their algorithms and can simulate their validity.
You will also work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
Conduct feature engineering for the purpose of credit scoring by massive data mining.
Select features and train credit scoring models on large-scaled distributed data processing platform.
Analyze massive behavioral data and third party data and help implement anti-fraud, user profiling and value tracking frameworks.
Minimum Bachelor’s Degree in Computer Science/Statistics or related fields.
Deep understanding on feature selection and modelling. Familiar with the theories behind common models (logistic regression, random forest, boosting trees, neural network etc.), and experienced in fine-tuning.
Solid foundation in maths and programming.
Proficient in Python and related data processing libraries such as pandas and numpy.
Diligent and reliable, with excellent analytical skills, communication skills, and teamwork.

Other skills:
• Should have Strong ML model experience in complex data and positive mindset to achieve business objectives in smarter way.
• You should have a strong background in mathematics/statistics.
• Technical developer should have design/architect and development skills.
• Preferred having agile scrum methodologies or worked on Agile projects.
• Should have good experience in documenting business processes, workflows and requirements.
• Close collaboration with various domains within organization
• Collaborative Conceptualization
• Strong clear communication skills.
• Familiar with Apache Spark.
• Won award in machine learning related competitions/academic research experience on machine learning.

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 an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Reference: 22000I3B
Entity: SG Global Solution Centre
Starting date: 2022/08/01
Publication date: 2022/06/08
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