
Eligibility Criteria
Bachelor's degree in Engineering, Computer Science, Information Technology, Mathematics, Statistics or related fields; any branch accepted. Minimum 60% aggregate (or CGPA 6.0/10). Fresh graduates from 2023, 2024, 2025 or 2026 batches are eligible. Maximum one active backlog allowed at the time of joining. Strong analytical mindset and good communication skills are mandatory.

Job Description & Key Responsibilities
TailorFlow AI is a Cambridgeβbased enterprise AI services firm that builds customβmade solutions for complex business challenges. Though its headquarters sit in the UK, the company has a truly global footprint, serving clients across the United Kingdom, South Africa, the Americas and Australia. The business model is heavily asynchronous, allowing team members to work across time zones while still maintaining a few hours of overlap with the clientβs geography. This flexibility is a core part of TailorFlowβs culture and makes it an attractive place for professionals who value autonomy and a resultsβdriven environment.
In recent months, TailorFlow has expanded its delivery centre to India, hiring remote analysts, engineers and consultants who can collaborate with the core Cambridge team. The Indian cohort works on the same highβimpact projects, gaining exposure to international standards, cuttingβedge AI research and realβworld deployments. The company prides itself on hiring people who take ownership, approach ambiguity constructively and stay positive while navigating complex problem spaces.
The role of Data Analyst β AI Consulting sits at the intersection of data engineering, business analysis and AI solution design. You will partner with consulting and engineering teams to understand client data, assess its suitability for AI use cases and translate insights into actionable recommendations. Your dayβtoβday activities will involve cleaning and exploring both structured and unstructured datasets, defining key performance metrics, supporting model validation, and creating visualisations that are easy for nonβtechnical stakeholders to digest. You will also act as a bridge between the clientβs business objectives and the technical implementation, ensuring that dataβdriven decisions are grounded in solid analysis.
Key Responsibilities:
1. Explore, clean and analyse structured and unstructured client data sets.
2. Assess data quality, completeness and suitability for AI and machineβlearning use cases.
3. Define relevant metrics and prepare concise analytical summaries for project teams.
4. Support model evaluation, testing and output validation activities.
5. Create visualisations and dashboards that communicate findings to nonβtechnical stakeholders.
6. Collaborate with consultants and engineers to translate analytical insights into solution decisions.
7. Identify dataβquality issues, document their impact and propose remediation strategies.
8. Maintain clear documentation of data pipelines, assumptions and analytical methods.
9. Stay updated on emerging AI trends and suggest innovative approaches to client problems.
10. Contribute to knowledgeβsharing sessions within the team to uplift overall analytical capability.
Tech Stack: SQL, Microsoft Excel, Python (pandas, numpy), Powerβ―BI, Tableau, basic knowledge of machineβlearning concepts.
Growth Path: Starting as a Junior Data Analyst, you can progress to Senior Analyst, then to Data Scientist or AI Consultant, eventually moving into lead or managerial roles as the practice scales.
Why Join TailorFlow AI? You will work on real AI implementations for a diverse set of international clients, gain exposure to multiple industries, and receive mentorship from seasoned founders and technical specialists. The remoteβfirst model offers flexibility, meaningful ownership of deliverables, and rapid career progression in a small, highβperforming team.