Data Scientist

About Enqurious

Enqurious (formerly Mentorskool) is a fast-growing EdTech company based in Bengaluru that specializes in upskilling industry-ready Data + AI teams. We combine skill-driven precision learning with data-driven skill intelligence to help organizations deploy talent to projects 70% faster. Our mission is to bridge the skills gap in the data + AI space through problem-first, action-oriented, and mentorship-driven learning experiences.

Our clientele includes large Enterprise Data and AI consulting firms like Fractal Analytics, Tredence, Tiger Analytics and MathCo.

We help our customers achieve upskilling in many different flavors including - Graduate Data Engineer Upskilling, Continuous Learning, Certifications, Hackathons and Project Accelerators.

Enqurious is our home-grown Learning Engagement Platform where we put well researched learning experiences integrated with labs to help learners experience real-world problems and challenges leading to upskilling that delivers business outcomes.

https://www.enqurious.com/

Position Overview

Location: Bengaluru, Karnataka (Hybrid)

Experience: 2+ years

Employment Type: Full-time

Department: AI & ML

We are seeking a passionate Data Scientist with 2+ years of experience to join our core team. This role offers a unique opportunity to work on cutting-edge data science projects and contribute to shaping the next generation of data professionals through developing domain first use cases and delivered via mentoring

Must-Have Requirements

Technical Skills

• SQL Mastery: Advanced proficiency in SQL with experience in complex query optimization, performance tuning, and working with large datasets and relational data modelling
• Statistical & ML Foundations: Strong grasp of probability, statistics, hypothesis testing, and ML algorithms (supervised, unsupervised, and time-series).
• Python Programming: Proficiency with pandas, NumPy, scikit-learn, TensorFlow/PyTorch, and data-validation/automation scripting.
• Data Visualisation: Ability to craft compelling stories with Matplotlib, Seaborn, Plotly
• Cloud Fundamentals: Solid understanding of cloud computing principles, Familiarity with ML services on AWS (SageMaker, Athena), or Azure (ML Studio, Databricks).

Experience & Mindset - Must have

• Minimum 2 years of hands-on data science experience with a proven track record of building models and MLOps pipelines
• Model Development & Deployment: Experience building robust, scalable MLops on cloud platforms, preferably AWS (S3, Sagemaker) or Azure(Adls, Databricks, MLflow, Azure ML Studio)
• Continuous Learning: Demonstrated ability to quickly adapt to new technologies, frameworks, and methodologies in the rapidly evolving data landscape
• Teaching/Mentoring Aptitude : Genuine interest and willingness to occasionally conduct corporate training sessions, workshops
• Ability to work in uncertain and ambiguous environments. We expect you to be a self-starter, and you will be required to demonstrate this skill in the interview

Good to Have

• Startup Mindset: Openness to work closely with core and founding team members in creating RFPs, proposals, and strategic technical documents
• Client Interaction: Experience interfacing with clients to understand requirements and translate business needs into technical solutions

Key Responsibilities

• Design, build, and maintain reproducible ML pipelines (feature engineering, training, evaluation, and CI/CD deployment).
• Develop predictive, prescriptive, and generative models that are performant, explainable, and cost-efficient.
• Implement data-quality checks, bias/variance monitoring, and automated drift detection.
• Conduct mentoring sessions on data science best practices, tools, and technologies
• Develop hands-on labs and real-world scenarios for upskilling programs
• Contribute to Enqurious's knowledge base and learning content library

Strategic Contributions

• Participate in technical discussions with the founding team and contribute to content roadmap decisions
• Assist in creating technical proposals, RFPs, and solution architectures for enterprise clients for their upskilling needs
• Stay updated with industry trends and emerging technologies to enhance our training offerings
• Represent Enqurious at technical conferences, meetups, and community events

What We Offer

Professional Growth

• Accelerated Learning Environment: Work alongside industry experts and gain exposure to diverse data science challenges across multiple domains (Retail, CPG, E-Commerce, FinTech, Insurance)
• Mentoring Opportunities: Develop your communication and leadership skills through corporate training and mentoring
• Industry Recognition: Opportunity to build your brand in the data science community
• Certification Support: Access to premium training resources and certification programs (Databricks, AWS, Azure)

Work Environment

• Flexible Work Arrangements: Hybrid working model with collaborative office environment in Bengaluru
• Innovation Culture: Be part of a team that's disrupting traditional corporate learning methodologies
• Direct Impact: Your work will directly influence how thousands of data scientists are trained globally
• Startup Agility: Fast-paced environment with opportunities to wear multiple hats and drive initiatives

Compensation & Benefits

• Competitive salary commensurate with experience and skills
• Performance-based bonuses and equity opportunities
• Health insurance and wellness programs
• Professional development budget for conferences, courses, and certifications

Ideal Candidate Profile

You're the perfect fit if you:

• Love building impactful models and sharing knowledge
• Thrive in ambiguous, fast-paced environments where you can make a significant impact
• Enjoy collaborating with diverse teams, including educators, business stakeholders, and technical experts
• We are excited about the intersection of technology and education
• Have a growth mindset and are energized by continuous learning and teaching
• Can balance hands-on technical work with strategic thinking and planning

Application Process

1-2 Interview rounds. Please note that we are only willing to accept anyone who has a notice period of 30 days or less

How to Apply?

If you're excited about the opportunity to build cutting-edge data solutions while shaping the future of Data Science + AI education, we'd love to hear from you. Apply with your resume, a brief cover letter explaining your interest in this unique role, and any relevant project portfolios or certifications.

Send your updated resume to learn@enqurious.com with the subject line "Application for Data Scientist - <Full Name>."

Enqurious is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.