Services

Data science, ML audit, and business training under one roof.

Three ways to engage—data science consultancy, ML & algorithm audit, and business training. Combine them when the same team must both decide and defend.

Data science consultancy

Experiment design, modelling strategy, evaluation, and documentation when outcomes must hold up to scrutiny - internal or external.

  • Problem framing & success metrics
  • Model & evaluation design
  • Reproducible pipelines and reporting
  • Pre-launch validation & sign-off

ML & algorithm audit

Independent review of machine-learning systems and decision algorithms - covering data, models, and governance, with severity-ranked findings and remediation paths.

  • Model risk, bias & fairness review
  • Data quality & lineage check
  • Algorithmic decision & governance audit
  • Board-ready findings & remediation plan

Business training

Need to build internal capability? We run workshops and short programs for leaders and teams.

  • AI literacy for leaders
  • Applied data science upskilling
  • Custom in-house curricula

See training offerings →

Approach

How engagements run

A predictable rhythm so stakeholders know what to expect each week.

  1. Frame — goals, constraints, decision rights, and success measures.
  2. Review — artefacts, interviews, and evidence as agreed in the charter.
  3. Deliver — findings, options, and a practical plan with owners.
  4. Transfer — optional enablement so your team can sustain the work.

Next step

Scope a short discovery call.

Take a free 30-minute call to decide whether an engagement makes sense, and in what shape.

Email us See training

contact@debias.com.au