Data Science Intern

2 weeks ago

Bengaluru, Karnataka, India mPower Software Services Full time

THE COMPANY


MPOWER's borderless loans enable students from around the world to realize their full academic & career potential by attending top universities in the U.S and Canada.


As a mission oriented FinTech / EdTech company, we move extremely fast and leverage the latest technologies, global best practices, and heavy analytics to tackle one of the biggest challenges in financial inclusion.

We're backed by over $150 million in equity capital from top global investors, which enables our fast-growth and provides our company with financial stability and a clear path to an IPO over the coming years.


Our global team is composed of ex-management consultants, financial services and technology professionals, and other experts in their respective fields.

We work hard, have fun, and believe greatly in our cause. For us, MPOWER's mission of making this mission is personal.


As a member of our team, you'll be challenged to think quickly, act autonomously, and constantly grow, creatively in an environment where fast change and exponential growth is the norm.

Ideation and implementation happens very quickly.

We value feedback and emphasize personal and professional development by providing the resources you need to further your skills and grow with the company.

MPOWER is committed to cultivating your strengths and curiosity and helping you make an immediate impact.


MPOWER has been named one of the best FinTech's to work for by American Banker for the past 5 years in a row.

We are honored to be nominated by multiple agencies and publications for our leadership in Tech, diversity and social impact.

We pride ourselves on being a "growth company for grown-ups," where there are no pool tables but rather great health, education, and maternity/paternity benefits instead.

Our team diversity has been recognized as well; we're one of the most diverse workforces in the world in terms of nationality, gender, religion, age, sexual orientation, and educational background.


THE INTERNSHIP - Data Science Intern (Bangalore, India)


The internship will require coordination of in-house engineering and data & analytics projects that will include planning, strategizing and tracking the progress of the project using various methodologies such as Agile and Scrum.

You will get an exposure to a hyper growth company environment and will receive mentorship from our Engineering and Data team leaders.

You will be responsible for leading an individual project which will be presented to the Executive team at the end of the internship.


We are looking for interns who can think creatively and analytically, embrace ambiguity, and thrive in an entrepreneurial environment and have a solution-focused mindset driven by making an impact.


THE ROLE

  • Figure out optimized ways of annotating and augmenting data
  • Explore different libraries/frameworks/tools to solve problems
  • Good knowledge about Python and Machine learning.
  • Familiarity with transformer based and generative models like GPT3, T5 and Pegasus will be preferred

THE QUALIFICATIONS

  • Degree in Computer Science Engineering, or related fields.
  • Good technical understanding of scripting languages.
  • Excellent communication, interpersonal and presentation skills.
  • Strong critical thinking, analytical, and problemsolving skills.
  • Ability to manage multiple projects simultaneously
  • Proficient in Microsoft Office (Excel, Word, PowerPoint).
  • Proficiency in project management software and tools will be a plus
  • Ability to work independently and as part of a team.
Proficient in Microsoft Excel.

  • Knowledge of project management methodologies such as Agile and Scrum will be an advantage.
  • Wellorganized, detailoriented, and ability to work well both independently and in a team environment.
A passion for financial inclusion and access to higher education is a must, as well as comfort working with a global team across multiple-time zones and sites


In addition, you should be comfortable working in a fast growth environment, meaning a small agile team, fast-evolving roles and responsibilities, variable workload and tight deadlines, a high degree of autonomy, and 80-20 everything.

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