Bees at Work

Implementation Engineer


Job Type

Full Time

About the Role

We are looking for a Implementation Engineer to join our growing team of Analytic experts. If you are a dynamic leader who wants to work with a team of highly competent professionals in a fast-paced work environment, then this might be the role for you. You will be working with some of the best-in-class Coders, AI/ML Scientist and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos to build, implement scalable, standardized cost-effective Decision system platform using Scienaptic’s platform - to support credit decision automation and real-time application decision.


  • Engage with key stake holders to analyse Business requirements and Use Cases to transform these into Functional specifications, workflow design and configurations into Scienaptic platform

  • Follow up and escalate gaps, issues and enhancements identified throughout the project

  • Report progress status to internal stakeholders and/or client for various projects.

  • Support client activities throughout the implementation of use case life cycle including testing phases

  • Support test strategy / planning of the end-to-end solution

  • Create implementation documentation and provide implementation related assistance with other team members as needed

  • Work with data science and product implementation team to understand overall solution and contribute towards success of the project


  • Overall, 4-8 years of IT industry experience

  • Technical Knowledge: Proficient in Native Python, SQL, RDBMS, Jupyter notebook

  • Experience working with Big data, AWS, Azure, Pyspark will be an added advantage

  • Experience of API, JSON, JSONata, AWS services will be an added advantage

  • Strong financial industry experience including business analysis, writing functional specifications, and designing workflows

  • Good to have in Banking and Financial domain, preferably in implementation through any decision engines such as TRIAD, Powercurve, Origination manager, Blaze etc.

  • Technical mindset to understand and adapt to overall technical architecture

  • Process knowledge e.g. managing and tracking requirements, design, delivery etc.

  • Ability to perform data research and root cause analysis on data issues/discrepancies

  • Good communication skills including verbal and writing skills

About Us

Scienaptic is on a mission to increase credit availability by transforming technology used in credit decisioning. Over 150 years of credit experience is embedded in Scienaptic's AI native credit decision platform. Our clients across banks, credit unions, fintech, and other lenders use the platform to constantly improve the quality of underwriting decisions. This enables them to say ‘yes’ to borrowers more often and faster.