Certified Pega Data Scientist case studies
Certified Pega Data Scientist · Put your knowledge to work in context.
This page is an independent study resource for candidates preparing for what is commonly searched as the Certified Pega Data Scientist credential. No exam named "Certified Pega Data Scientist" appears in the Pega Academy training catalog retrieved for this page, so logistics such as item count, duration, passing score, fee, retake rules, and validity are left unstated rather than guessed. The catalog does show where data-science-adjacent skills are taught: the Pega Process AI Essentials mission, listed at beginner level with 4 Modules, 3 Challenges, and 3 hrs 30 mins, tagged to Pega Platform, Process AI, Decision Management, and Case Management. A related Decision Management and Next Best Action mission, Preparation for 1:1 Customer Engagement Implementation, sits at intermediate level with 3 Modules, 9 Challenges, and 6 hrs 20 mins. The Certified Pega Data Scientist case studies are 5 cases and about 2,765 words.
1Claims Intake Latency and Data Page Scope
A Pega Platform 8.8 application handles 12,000 auto-claims per day. Intake screens load a customer summary from two REST services: policy details (average 850 ms) and claims history (1.4 s).
622 words, about 3 min2Email Triage Model Confidence and Human Review
A pension provider receives 48,000 member emails per month. A Pega Process AI text categorization model routes each email to one of 14 work queues.
551 words, about 3 min3Retention Offer Arbitration Under Capacity Constraints
A telecom has 1.2 million prepaid customers. The retention team uses Pega Decision Management Next-Best-Action Designer with 8 offers: 3 discounts, 2 data add-ons, 2 device upgrades, and 1 loyalty points offer.
554 words, about 3 min4Regulatory Dispute SLA with Child Cases
A bank's dispute case type handles 9,000 debit-card disputes per month. Regulatory rules require a final decision within 7 calendar days for unauthorized transactions.
538 words, about 3 min5Production Model Drift and Fairness Review
A Pega Decision Management deployment scores 30,000 personal-loan applications per month. The predictive model has AUC 0.81 at deployment, approval rate 45%, and a decline threshold at score 0.62.
500 words, about 3 min