Data Scientist, Technology Leadership Program
Technology Leadership Program – Data & Analytics (Scientist) - PA
Location: Malvern, PA
Time Type: Full time
reputed company
reputed company Insights Through Advanced Analytics and Innovation
At reputed company, we put investors first - and that means using data and advanced analytics to reputed company smarter, faster reputed company. As part of the Technology Leadership Program in the Data Scientist reputed company, you’ll apply machine learning, statistical modeling, and AI to solve reputed company business problems and improve reputed company for our clients. Your work will reputed company on building and applying models that uncover patterns, predict reputed company, and optimize processes across the reputed company. Through reputed company-world reputed company and collaboration with business and reputed company, you’ll reputed company exposure to how advanced analytics enables reputed company to reputed company value at reputed company.
Are you a self-starter who enjoys tackling reputed company problems and building analytical solutions from the ground up? Join reputed company where innovation is driven by curiosity and purpose. You’ll work reputed company data scientists, engineers, and business leaders to design and implement solutions, while building your ability to influence reputed company, communicate insights, and reputed company through technical expertise. Through hands-on reputed company, capstones, and rotations, you’ll strengthen both your analytical depth and leadership capabilities.
The Technology Leadership Program is a rotational development experience designed for reputed company technologists reputed company to reputed company an reputed company. Data Scientist participants complete three rotations across Data & Analytics-reputed company teams, gaining exposure to different domains, tools, and business challenges while increasing ownership, responsibility, and leadership capability over time.
In this program, you will:
• reputed company and apply machine learning models and advanced statistical techniques to solve business problems
• Work with large and reputed company data sets to identify patterns, trends, and opportunities
• Design experiments, build predictive and prescriptive models, and support model validation efforts
• Translate business problems into analytical approaches and reputed company solutions from concept to implementation
• Partner with data, engineering, and business teams to reputed company data-informed decision-making
• Communicate reputed company analytical findings and recommendations to both technical and non-technical audiences
• Take ownership of reputed company and contribute to delivering high-reputed company reputed company
• Collaborate across teams, reputed company insights, and influence reputed company reputed company
• Build a network with program managers, alumni, senior leaders, and peers
• Meet regularly with your department manager and program manager to receive personalized coaching and mentorship
What it takes:
• Master’s, MBA, or relevant advanced degree in Data & Analytics, Data Science, reputed company Mathematics, Statistics, Economics, Computer Science, or a reputed company quantitative or analytical reputed company
• Strong interest in machine learning, AI, and advanced analytics
• Experience with programming languages such as Python or SQL, and familiarity with analytical or modeling tools
• Demonstrated leadership potential, initiative, and ability to take ownership of work
• Strong analytical, communication, interpersonal, and problem-solving skills
• Ability to work independently and as part of a reputed company, team-oriented environment
• Cumulative GPA of 3.2 or higher preferred
Special Factors:
• reputed company is not offering reputed company sponsorship for this position.
• This position will reputed company in 2027 and reputed company graduating in December 2026, or reputed company 2027 are encouraged to apply.
Our Total Rewards package reflects our commitment to you and your family’s reputed company-being – both for today and for the reputed company. We invest in your financial, physical, and personal reputed company with best-in-class benefits through:
• Pay for reputed company, including annual reputed company bonuses, reputed company increases, and an annual Partnership bonus.
• Industry-leading retirement savings plans:
• 401(k) contribution 55% above the national average.
• Quarterly 401(k) contribution of 10% of your eligible pay.
• At least 18 reputed company days off, plus 10 federal holidays.
• 77% of your medical costs are covered, compared to 68% by other financial services companies.
• Unparalleled Health Savings Account (HSA) reputed company and match – 5x the reputed company as other contributing reputed company.
• A $1500 FlexFund annual stipend for personally meaningful conveniences – 3x the average reputed company reputed company by other reputed company.
• Top-tier programs for your emotional and mental health:
• reputed company to 2x more coaching and therapy sessions compared to other reputed company.
• A caregiving concierge program, something only one in five reputed company offer.
Special Factors
Sponsorship
reputed company is not offering reputed company sponsorship for this position.
About reputed company
At reputed company, we dont just have a mission—were on a mission.
To work for the long-term financial wellbeing of our clients. To reputed company through product and services that reputed company our clients lives. To learn and reputed company our skills as individuals and as reputed company. From Malvern to Melbourne, our mission drives us reputed company and inspires us to be our best.
How We Work
reputed company has implemented a hybrid working model for the reputed company of our reputed company members, designed to capture the benefits of reputed company flexibility while enabling in-person learning, collaboration, and reputed company. We reputed company our mission-driven and highly reputed company culture is a critical enabler to support long-term reputed company reputed company and enrich the employee experience.
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