Data Scientist

This is a fully remote position, open to applicants in India.

📋 Description

• Assist in client engagements that involve data science, analytics, and decision-making applications.

• Collaborate with internal teams and clients to identify business challenges, data availability, analytical needs, and anticipated outcomes.

• Develop, assess, and elucidate predictive models, scorecards, decision rules, segmentation analyses, simulations, and business insights.

• Utilize Python and popular data science libraries to cleanse, explore, transform, and analyze data.

• Create analytical outputs, client-ready insights, model performance summaries, and business recommendations.

• Provide data science expertise for discovery sessions, workshops, demonstrations, and delivery tasks.

• Clarify the application of machine learning, rules, explainability, monitoring, and decision-making within the Provenir platform.

• Convey technical concepts effectively to both technical and non-technical audiences.

• Document analysis, assumptions, code, and recommendations in a clear and reproducible manner.

• Adhere to and contribute to best practices regarding code quality, documentation, version control, testing, and reusable delivery assets.

• Work collaboratively with global Data Science colleagues to share insights and ensure consistent regional delivery.

⛳️ Requirements

• Bachelor’s degree in a STEM discipline with at least 3 years of experience in data science, analytics, decision science, applied machine learning, or a related area; or a master’s degree or equivalent experience in a relevant STEM field.

• Proven experience in building, validating, or interpreting machine learning models using Python.

• Excellent data manipulation abilities, including merging, cleansing, sampling, profiling, and preparing data for analysis.

• Hands-on experience with AI tools such as Copilot, Codex, Claude Code, or OpenCode.

• Capability to balance model performance, explainability, complexity, and business usability.

• Familiarity with model evaluation metrics including AUC, precision, recall, lift, stability, and model monitoring.

• Skill in translating analytical outputs into clear insights and actionable recommendations.

• Experience in direct communication with clients and internal stakeholders.

• Inquisitive, proactive, and eager to learn about new business domains, analytical techniques, and platform capabilities.

• Organized and focused on delivery, with the ability to manage multiple priorities effectively.

• Desirable experience in financial services, fintech, banking, lending, payments, insurance, telecommunications, or other data-centric industries.

• Preferable exposure to client-facing roles, workshops, product demonstrations, or cross-functional business discussions.

• Experience with MLOps, model deployment, APIs, MLflow, CI/CD, or production model governance is advantageous.

• Familiarity with use cases in credit risk, fraud, collections, or customer management is a plus.

• Experience in preparing presentations, technical documentation, or business summaries for data science projects is desirable.

🏝️ Benefits

• Comprehensive health and wellness plans.

• Paid time off and company holidays.

• Flexible and remote-friendly options.

• Maternity/paternity leave.

• Equal employment opportunity and an inclusive workplace.

• Opportunities to collaborate with enterprise customers and tackle meaningful challenges.

• Exposure to global teams, client engagements, and commercial data science projects.