Solutionec Core Principles

Solutionec is a global healthcare technology and consulting firm that partners with industry leaders to deliver data-driven transformation and meaningful patient outcomes. We empower informed decisions through advanced analytics and personalized solutions—believing data is the spark for innovation and growth.

Our Core Principles:

- Innovation – New ideas and technologies
- Velocity – Fast, high-impact delivery
- Quality – Excellence in every outcome
- Empathy – Real-world impact at the center

Together, we’re reshaping the future of healthcare.

- Design, develop and deploy statistical and machine learning models for fraud, waste and abuse detection on scheme claims and card data.
- Perform advanced data analytics including clustering, classification, profiling, anomaly detection, predictive modelling, scoring, regression, link prediction, co-occurrence grouping, similarity matching and causal modelling.
- Develop fraud detection triggers using advanced analytics techniques such as NLP, OCR, Social Network Analysis and deep learning, and document trigger construct, logic and thresholds for review and approval.
- Apply both supervised and unsupervised learning approaches, training models on labelled historical fraud data and scheme ecosystem data.
- Conduct data profiling, quality assessment, cleaning, standardisation and feature engineering to create analysis-ready datasets.
- Execute triggers and models on claim and card data within defined turnaround timelines and generate case-level suspicious output with trigger reasons and evidence fields.
- Validate model outputs, assess false positive risk,



calibrate thresholds and measure trigger efficacy against defined performance benchmarks.
- Fine-tune and retrain models on the basis of subsequent events, reviewer feedback and confirmed fraud outcomes.
- Collaborate with medical experts, business analysts, subject matter experts and technology teams to translate domain knowledge and clinical rules into executable analytical logic.
- Prepare model documentation, trigger submission packs, dashboards and reports for internal review committees and client-facing evaluations.
- Strong proficiency in Python and/or R for building statistical and machine learning models.
- Proficiency in SQL and experience working with large-scale / big data environments.
- Hands-on experience with machine learning techniques such as neural networks, decision trees, regression, anomaly detection and clustering.
- Experience with natural language processing, text mining, entity extraction and processing of unstructured data sources including documents and images.
- Understanding of cloud-based analytics environments and native AI/ML services (AWS preferred).
- Strong grounding in statistical methods, sampling, hypothesis testing and model validation techniques.
- Ability to work with structured and unstructured healthcare or transactional datasets and establish linkage across multiple source systems.
- Experience translating business and domain rules into executable analytical logic and production ready code.
- Proficiency in data visualisation and reporting tools for presenting analytical outcomes.
- Solid analytical, problem-solving and documentation skills.
- Excellent communication and stakeholder management abilities, including the ability to explain model logic to non-technical audiences.

📌 Data Scientist / Analyst Consultant (Bengaluru)
🏢 Solutionec
📍 Bengaluru