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🤖 Data, AI & ML Engineers

Hire Dedicated Data Scientists — India, US, UK & Australia

Hire pre-vetted data scientists who turn messy data into models, forecasts, and decisions you can act on. Golonex places dedicated India-based data scientists with US, UK, Australian, and Indian teams — working in your timezone, under NDA, onboarded within one week and with no lock-in.

The role

What a Data Scientist does

A data scientist frames business questions as data problems and answers them with statistics and machine learning. Day to day they explore and clean data, engineer features, build predictive and inferential models, run A/B tests and causal analysis, quantify uncertainty, and communicate findings with clear visualisations and recommendations for stakeholders.

Core expertise

Python (pandas, NumPy, scikit-learn) R & statistical modelling Exploratory data analysis Predictive & inferential modelling A/B testing & experimentation Causal inference Time-series forecasting Customer segmentation & clustering Feature engineering SQL & data wrangling Visualisation (matplotlib, seaborn, Plotly) Jupyter & reproducible notebooks Model evaluation & validation Communicating insights to stakeholders
Outcomes

What a Golonex Data Scientist builds for you

Predictive models for churn, demand, risk, or conversion
A/B test designs and rigorous experiment analysis
Customer segmentation and clustering studies
Time-series forecasts with quantified uncertainty
Clear dashboards and reports that drive decisions
Reproducible analysis notebooks and documented findings
Engagement

How it works

Engagement models

Full-time dedicated Part-time / hourly Remote Hybrid Onsite (US · UK · India)

Based in India, working in your timezone. Onsite options available across the US, UK, and India.

Category

🤖

Data, AI & ML Engineers

Demand: High demand
Why Golonex for Data Scientists

The Golonex difference

Named, pre-vetted engineers

Every Data Scientist is screened for technical depth, communication, and reliability before you meet them — a sub-30% pass rate at the technical stage.

Integrated within 1 week

From enquiry to working team member in 5 business days. We handle onboarding, NDA, and access logistics.

Your timezone

India-based talent working overlapping hours with US, UK, and Australian teams. Daily standups and real-time collaboration, agreed upfront.

NDA-protected, no lock-in

Full IP and confidentiality protection as standard. Month-to-month engagements — scale up or down as your project evolves.

FAQ

Hiring a Data Scientist — FAQs

How quickly can I hire a data scientist through Golonex? +

Typically within one week. We shortlist pre-vetted data scientists matched to your problem — forecasting, experimentation, or predictive modelling — you interview them, and the selected scientist is onboarded to your data and tooling within 5 business days.

What kinds of problems can your data scientists solve? +

Common ones include churn and demand prediction, customer segmentation, A/B test analysis, forecasting, and pricing or risk modelling. They start from your business question, not a fixed technique, and choose the right method for it.

Who owns the models and analysis produced? +

You do. All models, code, notebooks, and analysis created in the engagement are your intellectual property, delivered under NDA. We retain no rights to your data or findings.

Will the data scientist work in my timezone? +

Yes. Although based in India, our data scientists work overlapping hours with US, UK, and Australian teams. Coverage windows are agreed before the engagement so reviews, readouts, and standups align with your schedule.

How do you vet data scientists? +

Every candidate passes a technical assessment on real scenarios — EDA, statistical modelling, and experiment analysis — plus a communication assessment (explaining findings clearly matters here) and reference checks from at least two prior engagements before you meet them.

Get started

Ready to hire a Data Scientist?

Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.