2 дня назад
Consultant - Data Science & Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Consultant - Data Science & Analytics (Data Science/ML): Working on local and international client engagements to derive insights and build predictive models with an accent on data acquisition, exploration, and stakeholder presentation. Focus on building machine-learning algorithms and developing AI solutions via the Heka accelerator.
Location: Onsite in Hong Kong
Company
is a next-generation global consulting firm specializing in digital transformation and Consulting 4.0.
What you will do
- Identify, process, and explore structured and unstructured data sources to discover trends and patterns.
- Build predictive models and machine-learning algorithms to derive valuable business insights.
- Develop and communicate results through dashboards, presentations, datasets, and bots.
- Collaborate with engineering and product development teams to solve complex business challenges.
- Contribute to internal AI projects through the Heka accelerator.
- Support regional business development and upskilling initiatives in data science.
Requirements
- 1-3 years of experience as a Data Scientist or Data Analyst, ideally within consulting.
- Bachelor's degree in Data Science, Statistics, Economics, or a related field from a top university.
- Proficiency in Python and analytical languages such as R or SQL.
- English and Chinese (Cantonese and/or Mandarin) fluency is mandatory.
- Strong problem-solving aptitude and business acumen.
Nice to have
- Experience with data visualization tools like Tableau, PowerBI, or R-shiny.
- Deep understanding of statistical techniques and concepts.
- Knowledge of Machine Learning techniques or optimization.
Culture & Benefits
- Access to specialized training resources for professional development.
- Opportunity to work with top-tier clients in financial services, retail, and other sectors.
- Dynamic environment with opportunities to take on high-level responsibilities early.
- Equal opportunity employer focusing on performance and competence.
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