Research Scientist

Location: Bengaluru, Karnataka, India | Experience: Mid Level (3-6 years)

About the Company

testing_2 is a Bengaluru-based company operating in the banking industry, with a focused team of 1–10 people and an annual revenue range under $1 million. The company works to build practical, technology-enabled outcomes for the financial services ecosystem. Its vision is expressed as “as das,” reflecting an organization still shaping and refining its long-term direction through execution. As part of this team, you will work in a compact environment where research can directly influence product thinking, operational decisions, and business priorities. The organization values ownership, close collaboration, and the ability to turn complex questions into clear, useful insights. This role offers the opportunity to contribute across the research lifecycle, partner with technical and business stakeholders, and help establish stronger evidence-based practices within a growing banking-focused company. You will join a workplace where the scale of the team supports meaningful visibility, faster feedback, and direct connection between scientific work and measurable business impact.

About the Role

As a Research Scientist, you will own the research lifecycle from defining important questions through designing studies, analyzing evidence, and translating findings into decisions. You will investigate complex problems relevant to banking, develop reliable methods, and communicate conclusions clearly to technical and business stakeholders. The role combines scientific thinking, experimentation, quantitative analysis, and practical judgment. Success means producing credible insights that improve product direction, operational performance, risk understanding, or customer outcomes. You will work in a hybrid Bengaluru environment within a compact team, taking meaningful ownership while collaborating closely across functions. This is an opportunity to establish repeatable research practices and connect rigorous investigation with measurable business value.

Key Responsibilities

• Own research problem definition and prioritization, converting ambiguous business questions into testable hypotheses, measurable outcomes, and clear study plans that guide better banking decisions.
• Design and execute experiments, analyses, or applied research projects using appropriate scientific methods, ensuring evidence is reliable, reproducible, and relevant to the decision being made.
• Build and maintain analytical workflows, datasets, models, or research prototypes that improve the speed, quality, and repeatability of insight generation across the organization.
• Interpret results critically, identify limitations and risks, and translate technical findings into concise recommendations that product, engineering, and business leaders can act on confidently.
• Partner with cross-functional stakeholders to connect research outputs to product improvements, operational effectiveness, customer outcomes, or stronger risk and compliance understanding.
• Establish research documentation, standards, and review practices that preserve institutional knowledge and make important findings transparent, reusable, and auditable over time.

Essential Skills & Technologies

• Strong foundations in scientific reasoning, experimental design, statistics, and quantitative analysis, with the judgment to select methods that match the question, data quality, and business context.
• Proficiency in Python, R, or comparable analytical programming languages, including the ability to create maintainable workflows for data preparation, modeling, validation, and interpretation.
• Experience working with structured or unstructured datasets, applying appropriate techniques to uncover patterns, test assumptions, measure uncertainty, and produce defensible conclusions.
• Ability to communicate complex research clearly through written reports, visualizations, presentations, and stakeholder discussions that connect evidence to business implications.
• Working knowledge of research documentation, version control, reproducibility practices, and collaborative technical workflows that support reliable delivery within a growing team.

Additional Plus

• Experience applying research, machine learning, or advanced analytics to banking, financial services, fraud, credit, risk, customer behavior, or related high-stakes domains.
• Familiarity with cloud data platforms, experiment tracking, model monitoring, or production-oriented research workflows that help move validated ideas toward operational use.
• Publications, patents, open-source contributions, or evidence of independently delivered research projects that demonstrate depth, curiosity, and disciplined scientific communication.

What You'll Bring

• A Master's or PhD-level foundation in science, engineering, data science, computer science, or a related discipline, combined with practical experience delivering research from question framing through evidence-based recommendations.
• Demonstrated ownership of research or analytical projects, including selecting methods, working through imperfect data, validating conclusions, documenting assumptions, and communicating trade-offs to varied stakeholders.
• Strong analytical curiosity and disciplined problem-solving, with the ability to distinguish signal from noise, challenge unsupported assumptions, and maintain scientific quality under changing priorities.
• Clear, concise communication and collaborative judgment, enabling you to influence product, engineering, and business decisions without overcomplicating findings or losing sight of measurable outcomes.

Why Join Us

You will join a small, focused team where your research work can have visible influence across the organization. Rather than operating in a narrow handoff-based environment, you will help shape the questions worth answering, the methods used to answer them, and the way evidence informs decisions. The banking context creates meaningful problems involving customer behavior, operational performance, risk, and responsible use of data. Your work can therefore contribute to outcomes that matter beyond a single analysis or experiment. This role also offers the chance to build stronger research systems in an evolving company, including documentation, repeatable workflows, and shared standards for evaluating evidence. You will collaborate closely with technical and business stakeholders in a hybrid Bengaluru setting, with direct access to feedback and practical context. For a scientist who values ownership, learning, and applied impact, this is an opportunity to connect rigorous investigation with real organizational progress while helping define how research creates value.

What We Offer

• Meaningful ownership in a compact banking-focused organization, with direct visibility into how research findings influence product, operational, customer, and risk-related decisions.
• A collaborative hybrid working environment in Bengaluru, supporting focused individual work alongside close interaction with technical and business stakeholders.
• The opportunity to shape research practices, analytical workflows, and evidence-based decision-making as the organization continues to develop its products and operating model.