Collaborating for Success
Cross-functional squads embed with your product, risk and operations teams so models are framed around real business questions — not lab experiments.
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Go beyond reporting — use statistics, machine learning and causal analysis to explain what’s happening, predict what’s next and recommend the right move.
LESDK’s Data Science team combines statistical rigour with modern ML tooling to solve problems you can’t answer with SQL alone — forecasting demand, scoring risk, detecting fraud, recommending next-best-action. We build models your auditors trust, your engineers can ship and your business users actually use.
Cross-functional squads embed with your product, risk and operations teams so models are framed around real business questions — not lab experiments.
Differential privacy, data minimisation, encryption in transit and at rest, and strict access controls protect sensitive records at every stage of the pipeline.
Explainable models, SHAP values and fit-for-purpose surrogate models make complex systems transparent to regulators, auditors and business stakeholders.
Every engagement starts with a clear success metric and economic model so each experiment is tied to a measurable business impact, not just F1 scores.
We hand models off with production-grade APIs, monitoring dashboards and change-management playbooks so operational teams adopt them on day one.
Model cards, bias testing and policy-driven guardrails ensure each model meets your internal risk framework and evolving regulatory requirements.
Data-science engagements where LESDK lifted real business KPIs.
Agentic workflows mapped 14,000 legacy workloads to target cloud regions in 9 weeks, cutting plan-cycle time by 60%.
Read more ›Migration copilot rewrote 2,400 custom ABAP objects and moved a Tier-1 SAP estate to hyperscale cloud with 40% lower run-rate.
Read more ›Transformer-based propensity models flagged at-risk customers 6 weeks earlier and lifted retention 14% on a 9M-account portfolio.
Read more ›Association mining surfaced unseen cross-sell affinities across 180M transactions and boosted average basket size by 8%.
Read more ›Telematics + NLP coaching hybrid cut fuel burn 12% across a 3,000-vehicle European fleet and paid back in under six months.
Read more ›Sensor fusion + vision models predicted component failures 72h early, shrinking unplanned workshop time by 28%.
Read more ›Sentiment, intent and topic models on 4M support calls cut average handle time 18% and lifted CSAT 11 points in six months.
Read more ›OCR + NLP turned 1.2M scanned supplier invoices into structured data with 98.7% accuracy and 5× faster straight-through processing.
Read more ›Share the decision you want to sharpen — pricing, churn, credit, demand, quality — and we’ll design a data-science pilot that proves value in weeks.