Sia
Management Consulting
SeniorConsultant-DataScience&Analytics
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Consultant - Data Science & Analytics at Sia. Skills: Data Science, Data Analytics, Machine Learning, Generative AI. Partner with client leadership teams. Partner with client engineers”
Industry & Context.
Problem-solving aptitude
What They're Looking For.
Must Have
3+ years of experience as a Data Scientist or Data Analyst, Bachelor’s degree in Data Science, Business Analytics, Statistics, Economics or related field, Excellent programming skills in Python, Excellent programming skills in SQL, Solid data modelling foundations, Hands-on experience ingesting and processing data, Hands-on experience building models, Hands-on experience delivering outputs, Ability to manage projects end-to-end, Ability to communicate clearly with stakeholders, Fluency in English, Fluency in Mandarin Chinese
Nice to Have
Experience in consulting, Experience with data visualization tools, Experience with Databricks, Experience with GenAI tools and platforms, Experience with cloud infrastructure, Proficiency in any other Asian languages
What You'll Do.
Partner with client leadership teams
Partner with client engineers
Partner with client program managers
Partner with client data analysts
Identify relevant data sources
Acquire relevant data sources
Process relevant data sources
Explore relevant data sources
Analyze structured information
Analyze unstructured information
Derive insights from datasets
Build predictive models
Build machine-learning algorithms
Communicate through presentations
Communicate through dashboards
Communicate through datasets
Communicate through bots
Propose solutions to business challenges
Propose strategies to business challenges
Collaborate with engineering teams
Collaborate with product development teams
Contribute to offer building
Contribute to training
Contribute to communities of practice
Contribute to R&D initiatives
Support business development
Identify opportunities
How You'll Work.
Team & Collaboration
Client leadership teams; Client engineers; Client program managers; Client data analysts; Engineering teams; Product development teams
Communication Scope
Stakeholder-ready storytelling; Communicate clearly
Process & Methodology
Manage projects end-to-end
Full Job Description
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. In 2024 we announced our exciting partnership with Blackstone as our first financial investor since inception to support our company’s continued growth. We have also been ranked by Vault as a Top 20 Consulting Firm to work for in the APAC region for 2025. We are looking for a talented Data Scientist / Data Analytics expert to support our clients’ activities in Hong Kong. Your work may include (depending on project needs): * Data analytics & strategic decision support (insights, measurement frameworks, experimentation, KPI design) * Machine learning, statistics & generative AI (from model design to deployment) * Data engineering & DevOp
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