Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Data Scientist – Finance and RES

If you are an experienced data scientist with a passion to show business impact and value to the business with your data science skills, this could be a right opportunity for you to apply.

What’s the role?

 As the data scientist you’re going to be responsible for:

• End to end delivery of specific analytics projects in Finance and Renewables domain
• Develop advanced Data science solutions for problem statements in Finance
• Generating business insights from data analytics at the request from the business, generate and enable value to the business.
• Identifying new value pockets and bring key business stakeholders on board and enable value through project delivery
• Setting up and demonstrating world class standard and best practices in project execution and quality of delivery
• Articulating clearly, the data science work, its approach and its value to all stakeholders

What we need from you?

We need a strong individual contributor with excellent delivery skills, stakeholder engagement skills. Experience of presenting customer centricity solutions and understanding of the business will also be a key skill for this role.

Furthermore, you will have:

• Strong experience in data science/Analytics, particularly Machine Learning
• Should have completed 1 to 2 projects in finance or Renewables domain using analytics
• Understanding of the financial accounting is an additional advantage
• Experience in SQL, SAP, Power BI/Alteryx, Python/R and Alteryx would be essential
• Expertise in Statistics / Mathematics
• Expertise in Advanced Timeseries forecasting techniques, Advanced Machine learning techniques