About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Position Overview

Confidential Client (a software development consultancy working with insurance & banking clients) is hiring a Data Scientist to join their growing analytics team in Indiana. This is a full-time role with hybrid flexibility (occasional remote work possible). You’ll work on analytics, modeling, reporting, prototyping, and automation that shape product strategy and client outcomes.

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What You’ll Do

• Prepare high-quality periodic reports and visualizations to present insurance and banking data to internal teams and stakeholders.
• Apply advanced analytical, statistical and mathematical methods to complex databases to inform product strategy.
• Develop prototypes and new analytical solutions in collaboration with engineers and product teams.
• Redesign and automate existing tools and workflows to improve efficiency and reproducibility.
• Communicate insights clearly through concise reports and the right choice of visualizations.

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What We’re Looking For

• Strong analytical reasoning and accuracy with numerical data.
• Ability to quickly learn new concepts and independently investigate data problems.
• A relevant degree in Mathematics, Physics, Engineering, Economics, or a similar quantitative field (MSc is a plus but not required).
• Obsession with data: you enjoy exploring large datasets, testing assumptions, and iterating on alternative views.
• Interest in insurance and banking analytics or a willingness to learn the domains.
• Strong written and verbal communication in English.
• Positive attitude, energy, and persistence in delivering high-quality results.

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Technical Skills (Required / Commonly Used)

• Python (data analysis libraries such as pandas, NumPy) or equivalent.
• Statistical analysis and applied mathematics.
• SQL for data extraction and transformation.
• Experience building reports, visualizations, and prototypes.
• Familiarity with basic machine learning techniques is helpful.

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Nice to Have

• Prior experience in insurance or banking analytics.
• Experience with automation of analytics pipelines (ETL, scripting).
• Knowledge of visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools).
• Advanced degree (M.Sc. or higher) in a quantitative discipline.

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Location & Hours

• Location: Indiana, United States (hybrid; occasional remote work supported).
• Employment type: Full-time.

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What Confidential Client Offers

• Immediate, multi-faceted involvement in projects — you’ll work end-to-end, not just on isolated components.
• A collaborative, international team of experienced practitioners.
• Rich access to datasets and opportunities to test ideas and iterate.
• Continuous learning and upskilling opportunities.
• A supportive office culture with snacks, coffee, and regular team social time.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.