The role will combine a wide range of technical skills with business knowledge to turn vast quantities of data into value.
Selected intern's day-to-day responsibilities include:
1. Understanding and working on the Django framework
2. Use Python programming and visualization to work on machine learning
3. Use analytics and data ingestion to work on model preparation and validation
4. Use problem-solving skills to work on automation
5. Work on timely delivery of projects
6. Work on advanced data science and complex analytics
7. Perform ETL processes (extract, transform & load)
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 15th Jun'22 and 20th Jul'22
3. are available for duration of 6 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
1. Python programming skills
2. Knowledge of Django Framework & statistical knowledge
3. A thirst for solving real-world problems using advanced data science techniques
4. Business knowledge
Tidyquant is looking for ML Engineer/Data Scientist Intern to join our Data Team. The desired candidate should be enthusiastic, passionate, and looking to develop a career in Data Science. The individual will be part of a team whose mission is to establish the core capability to transform Tidyquant into a data-driven & data-first company.
Perks and Benefits
- Company Laptop
- Accessories (Headphones, laptop stand, keyboard n mouse)
- 25 Annual Holidays
- 100% remote work
We are a team of data scientists, ML engineers, and business analysts who are committed to solving real-world business challenges. We are committed to solving real-world business challenges and work across the end-to-end product development cycle starting from inception to implementation of data solutions. We consult and help businesses to grow their ROIs. In doing so, we gather business requirements, ingest the data locked away in silos, turn them into scalable coding engines, perform data analysis, and produce world-class reports unearthing valuable business insights. We use best-in-class cloud-based services like AWS, Azure, and GCP in order to transform and process a massive amount of structured & unstructured data into production-level data pipelines and meaningful business insights for our clients.