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43 Pine Labs Jobs

Pine Labs - Data Scientist (3-5 yrs)

3-5 years

Pine Labs - Data Scientist (3-5 yrs)

Pine Labs

posted 14d ago

Job Description

Importance of the role:


- At Setu, we believe that every company can become a fintech company. Any tech-enabled business which wants to offer or build financial products will consume Setu APIs.


- Our Data Science team is solving how to understand 1.4 billion people of India that span across a broad spectrum of fintech sectors-be it personal lending, collections, PFM and BBPS. We're not just a team; we're the architects of the future of fintech. As a Data Scientist you will get to explore, experiment and build out critical, scalable and high value use cases.


- This role is special since it will give you a deep look into the business objectives and technical architecture of multiple companies in leading a customer obsessed business that delights our customers and aids in their innovation. The learning potential is immense!


What will you do at Setu?


- We're not just keeping up with innovation; we're setting the pace. Our team is constantly pushing the boundaries, introducing groundbreaking methods that amplify business growth, enhance customer experiences, and streamline operational processes.


- Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, and even- Generative AI- ,ex- Sesame- model we built, understands bank transactions with SOTA and ground breaking accuracy. Each day brings a new challenge and a new opportunity for breakthroughs.


When you join us, you're not just taking a job; you're becoming a part of a movement. A movement that's making a tangible difference in the fintech landscape, one innovative solution at a time.


Responsibilities:


- Passionate about Setu's mission and vision. Demonstrates dedication, perseverance, and high ownership.


- Consistently creates value for the customers and stakeholders through high-quality outcomes.


- Ensuring excellence in all aspects of work.


- Efficiently manages time, prioritizes tasks, and achieves higher standards.


- Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility.


Who is the right fit for this role?


To excel in this role you will need:


- 2+ years of Data Science/Machine Learning experience.


- Strong knowledge in statistics, tree-based techniques (e. g., Random Forests, XGBoost), machine learning (e. g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations.


- Strong Python programming skills and experience in building Data Pipelines in Python/PySpark, along with feature engineering.


- Proficiency in pandas, sci-kit-learn, SQL, and familiarity with TensorFlow/PyTorch.


Bonus:


- Experience with deep learning techniques like LORA finetuning and understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Sagemaker or

Kubernetes).


Why Setu?


- We will spare no efforts to ensure that Setu empowers you to do the most important and impactful work of your career


- Opportunity to work closely with the founding team who built and scaled public infrastructure such as UPI, GST, Aadhaar, etc.


- We care deeply about your growth. So we work hard to provide you with-


- A fully stocked library and unlimited book budget.


- Tickets to conferences and industry events.


- Learning sessions where we invite both team members and external experts to teach you something new.


- Learning and development allowance that gives access to subscriptions, courses, certifications, music classes, and much more. Grow, learn, and improve with Setu!


- Kick-ass benefits including comprehensive health insurance for you and your family, personal accident and term life insurance, access to mental health counsellors, extraordinary coffee, and a beautiful office with lots of solid wood and natural light.


- We work hard to make sure our team is diverse and varied. We interview and hire purely on merit, skill, and competence-everything else is irrelevant.


Our core DNA:


- Our culture code-How We Move, defines the behaviours we expect from our people. When you display any of the six culture code elements, you demonstrate 'Every Day is Game Day'. The six elements of our culture code


Take the shot: You decide fast and deliver right.


Sign your work like an artist: You master what you do and take pride in it.


Be the sherpa: You lead your crew on every expedition.


Be the CEO of what you do: You own it and make things happen.


Care with tough love: You empower others with trust, respect, and openness.


Own tomorrow: You innovate for the customer and beyond.


Join us if you want to be part of a company that's building infrastructure that will directly impact financial inclusion and improve millions of lives. No cashbacks, no growth-hacks, no gimmicks. Just an audacious mission, and an obsession with craftsmanship in code.


For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.


Functional Areas: Other

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7%
4%
3%
1%
22% candidates got the interview through other sources.
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What people at Pine Labs are saying

Data Scientist salary at Pine Labs

reported by 7 employees with 3-13 years exp.
₹17 L/yr - ₹32 L/yr
82% more than the average Data Scientist Salary in India
View more details

What Pine Labs employees are saying about work life

based on 1.2k employees
64%
53%
47%
96%
Flexible timing
Monday to Friday
Within city
Day Shift
View more insights

Pine Labs Benefits

Submitted by Company
Flexible schedule
Competitive compensation
Insurance benefits
Submitted by Employees
Health Insurance
Job Training
Work From Home
Team Outings
Cafeteria
Soft Skill Training +6 more
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Pine Labs Noida Office Location

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Noida, Uttar Pradesh Office
Headquarter
Candor Techspace, 2nd & 3rd Floor, Building 2, Plot No. B2, Sector 62, Noida, 201301, IN Noida, Uttar Pradesh
201301

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