Senior Data Scientist

Posted 20 Days Ago
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Mumbai, Maharashtra
In-Office
Junior
Edtech • Information Technology
The Role
The Data Scientist will analyze structured and unstructured data, build predictive models, and explore generative AI applications to support decision-making and product enhancement.
Summary Generated by Built In

Position: Data Scientist

Location: Mumbai, India

About LRN:

LRN is the world’s leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world’s most respected and successful brands—we’re proud to be the long-term partner trusted to reduce organizational risk and drive principled performance.

Named one of Inc Magazine’s 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage.

About the role:

We’re looking for a curious, hands-on, and impact-oriented Data Scientist to join our team. You’ll work across a wide range of structured and unstructured data to support decision-making, build models, and explore how generative AI can enhance our products and workflows.

You don’t need decades of experience — we value initiative, strong fundamentals, and a desire to learn over perfect resumes. This is a great opportunity for someone early in their career who wants to shape meaningful applications in AI, analytics, and real-world business challenges.


Requirements

What you'll do:

  • Work with cross-functional teams to understand business problems and translate them into data science tasks.
  • Analyze structured and unstructured data (e.g., text, course interactions, HRIS data, survey responses, logs) to surface insights and patterns.
  • Build predictive and descriptive models using machine learning and statistical techniques.
  • Experiment with generative AI (LLMs, embeddings, prompt engineering, fine-tuning) to explore new capabilities.
  • Collaborate with data engineers, product managers, and designers to turn models into production-ready features.
  • Communicate findings through visualizations, dashboards, and clear storytelling

What we're looking for:

Core Skills

  • Ability to take initiative in identifying new opportunities where data science or AI can drive value — even in loosely defined or ambiguous problem spaces.
  • Solid grasp of data wrangling, EDA, and basic statistical modeling.
  • Comfort working with SQL and exploring data in relational databases.
  • Experience working with Python and common libraries (pandas, numpy, etc.).
  • Familiarity with a subset of standard modeling techniques such as:
  • Logistic regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM)
  • Clustering (K-Means, DBSCAN)
  • Text vectorization (TF-IDF, word embeddings, sentence transformers)
  • Dimensionality reduction (PCA, t-SNE, UMAP)

Generative AI & ML

  • Familiarity with large language models (e.g., OpenAI, Hugging Face, etc.).
  • Experience using embeddings, vector databases, or prompt-based pipelines.
  • Interest or experience in fine-tuning or evaluating generative models.

Mindset & Collaboration

  • Eagerness to learn and apply new tools, techniques, and frameworks.
  • Ability to work independently and push through ambiguity.
  • Strong communication skills and a collaborative spirit.
  • Comfortable receiving feedback, iterating fast, and delivering value.

Nice-to-Have Extras

  • Experience with data visualization tools (e.g., Plotly, Dash, Tableau, Streamlit).
  • Exposure to model monitoring, ML Ops, or data pipelines.
  • Interest in ethics, compliance, education, or B2B SaaS domains.
  • Familiarity with cloud platforms like AWS or GCP.

Benefits
  • Excellent medical benefits, including family plan
  • Paid Time Off (PTO) plus India public holidays 
  • Competitive salary
  • Combined Onsite and Remote Work

LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Top Skills

AWS
GCP
Generative Ai
Lightgbm
Machine Learning
Numpy
Pandas
Pca
Python
SQL
T-Sne
Tf-Idf
Umap
Word Embeddings
Xgboost
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The Company
New York, New York
780 Employees
Year Founded: 1994

What We Do

LRN is the world's largest dedicated ethics and compliance company, educating and helping more than 30 million people a year worldwide navigate complex legal and regulatory environments and foster ethical cultures. LRN's combination of practical tools, education, and strategic advisement helps companies translate their values into concrete practices and leadership behaviors that create sustainable, competitive advantage.

In partnership with LRN, companies need not choose between living principles and maximizing profits, or between enhancing reputation and growing revenue: both are a product of principled performance. Our offerings mitigate the risk of costly ethical lapses and compliance failures, while building trust and earning the company a reputation for lawful and ethical conduct.

LRN is the trusted long-term partnership to more than 3,000 organizations, including some of the most respected and successful businesses in the world. Together we acquire and disseminate proven strategic and tactical insights and develop solutions based on real-world experiences.

Headquartered in New York, LRN has offices in London, Tokyo, Singapore, Mumbai, Costa Rica and Dubai, with employees all over the world

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