As a Data Scientist at Tranzact Holdings, your day-to-day work will be highly dynamic, bridging the gap between raw data and strategic business execution.

• Predictive Modeling – Designing, building, and deploying machine learning models to optimize lead scoring, marketing attribution, and customer retention.
• Data Pipeline Development – Collaborating with data engineering teams to clean, transform, and ingest large-scale consumer datasets into analytical environments.
• A/B Testing and Experimentation – Designing and analyzing experiments to test new marketing strategies, user experiences, and model deployments.
• Strategic Reporting – Synthesizing complex data analyses into clear, actionable reports and presentations for executive leadership and cross-functional teams.
• Cross-Functional Collaboration – Working closely with product managers, marketing specialists, and sales operations to identify business opportunities and implement data-driven solutions.

The ideal candidate for this role possesses a strong blend of technical expertise, analytical curiosity, and business acumen.

• Must-have skills – Strong proficiency in Python or R for data manipulation and machine learning. Excellent SQL skills for querying large databases. Proven experience building and deploying machine learning models in a business setting.
• Nice-to-have skills – Experience working in the insurance, Medicare, or direct-to-consumer marketing industries. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data technologies. An advanced degree (MS or PhD) in a quantitative field such as Statistics, Computer Science, or Economics.
• Soft skills – Exceptional written and verbal communication skills. Ability to work independently in an ambiguous, fast-paced environment. Strong project management skills to meet tight deadlines.

Q: Why does the job posting mention Willis Towers Watson (WTW) instead of Tranzact Holdings? A: Tranzact Holdings is a subsidiary of WTW, and their recruiting processes have been consolidated. While you are applying through the WTW portal, the actual day-to-day work, team, and business focus will be dedicated to Tranzact Holdings' Medicare brokerage operations.

Q: How much time should I allocate for the take-home assessment? A: Candidates report that the take-home assessment is highly comprehensive and can take anywhere from 10 to 20 hours to complete thoroughly. It involves handling two large datasets, performing data cleaning without a dictionary, model building, and writing a formal report. Plan your week accordingly to ensure you can submit a polished deliverable.

Q: What is the company's culture like regarding data science? A: The data science team is highly collaborative and business-focused. Because the team works closely with marketing and sales, there is a strong emphasis on practical, high-impact models rather than purely theoretical research. The environment is fast-paced and rewards proactive problem solvers.

Q: What is the typical timeline from the initial application to an offer? A: The timeline can vary depending on scheduling. Generally, the process takes 3 to 6 weeks. This includes the initial HR screen, one week for the take-home assessment, and subsequent technical and hiring manager interviews.

• Clarify the Business Context Early: During your initial HR and hiring manager conversations, ask targeted questions about how the data science team supports the Medicare brokerage business. This will help you tailor your take-home report to their specific business goals.

• Document Your Assumptions: Since the take-home assessment often lacks a data dictionary, make logical assumptions about the variables and explicitly document them at the beginning of your report. This demonstrates structured thinking and proactive problem-solving.

• Focus on the Executive Summary: When writing your take-home report, ensure the first page contains a clear, non-technical executive summary. Business leaders at Tranzact Holdings value data scientists who can communicate the bottom-line impact of their models quickly.

• Confirm Your Interview Schedules: Due to reported administrative disorganization, always send a brief email to confirm your scheduled interviews 24 hours in advance. This helps prevent unexpected cancellations and keeps the process moving smoothly.

Securing a Data Scientist role at Tranzact Holdings requires a combination of technical excellence, business focus, and resilience. The interview process is rigorous, highlighted by a demanding take-home assessment that tests your ability to turn messy, undocumented data into a structured predictive model and a polished business report.

To succeed, focus your preparation on core machine learning concepts, data wrangling in Python and SQL, and structured writing. Be ready to explain not just how you built a model, but why your approach makes business sense. With focused preparation and a proactive attitude, you can successfully navigate this challenging process and land a highly impactful role.

The compensation data above reflects the typical salary range for a Data Scientist at this level. When negotiating your offer, keep in mind that your performance on the take-home assessment and your ability to demonstrate direct business impact during the interviews will be key leverage points in securing a top-of-market compensation package. For more real-world interview insights and prep resources, explore the community-shared experiences on Dataford.