Develop data-driven solutions to complex real-world problems using data science, machine learning, statistical modeling, and analytical reasoning. Candidates should currently work in a technical data science or machine learning role at a leading technology company, hold a quantitative undergraduate degree from a top-ranked university, and reside and work in an eligible English-speaking country.
This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 15000000 (ie INR 50 - 150 LPA)
Min Experience: 1+ years
Location: United States, United Kingdom, Canada, Australia, New Zealand
JobType: full-time
We are seeking experienced Data Scientists and Machine Learning Scientists currently working at leading technology companies. The ideal candidates will have a strong technical background in data science, machine learning, and analytical problem-solving, along with an undergraduate degree from a top-ranked university.
RequirementsKey Requirements
- Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company.
- Experience working in high-performing technology environments with exposure to advanced data science, machine learning, statistical modelling, or applied research.
- Undergraduate degree from a top-ranked university in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Strong analytical, quantitative reasoning, and problem-solving skills.
- Ability to apply data-driven approaches to complex real-world problems.
- Currently residing and working in one of the following English-speaking countries: United States, United Kingdom, Canada, Australia, or New Zealand.
Candidates should have professional experience at established, top-tier technology organisations and demonstrate strong technical expertise in data science or machine learning.
Similar Jobs
Artificial Intelligence • Automotive • Machine Learning • Financial Services
Own end-to-end data science for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, experiments, and recommendations that drive decisions and measurable outcomes. Partner with cross-functional stakeholders, communicate insights clearly, and independently solve ambiguous problems using SQL and Python.
Top Skills:
ClickhouseGitJupyterhubMetabasePythonSQL
Artificial Intelligence • Automotive • Machine Learning • Financial Services
Own end-to-end data science for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate actionable insights; and influence product, growth, finance, and operations decisions. The role requires strong analytical skills, independent data work, persuasive communication, and ownership of ambiguous problems with measurable business impact.
Top Skills:
ClickhouseGitJupyterhubMetabasePythonSQL
Artificial Intelligence • Automotive • Insurance • Software
Own end-to-end data science and analytics for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate actionable insights; and influence product, growth, finance, and operations decisions. The role requires strong SQL or Python skills, first-principles problem solving, independent data interpretation, persuasive communication, and ownership of ambiguous business problems.
Top Skills:
ClickhouseGitJupyterhubMetabasePythonSQL
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.


