Senior Data Scientist

Averis; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Averis in Kuala Lumpur is seeking a Senior Data Scientist to transform operational data into actionable insights and to lead end-to-end analytics delivery, including GenAI-enabled solutions built on governed enterprise data.

The role requires collaboration with stakeholders, design of data models and dashboards, and mentoring analysts to ensure reliable, measurable business impact in a fast-paced environment.

Qualifications

• 5+ years in data analytics or related roles with end-to-end delivery.
• Strong SQL skills and Python for data manipulation.
• Experience with dashboards and data storytelling.

Responsibilities

• Partner with stakeholders to identify high-impact analytics opportunities.
• Design and maintain analytics data models and KPI logic.
• Develop operational dashboards and present insights in business terms.
• Design GenAI workflows (RAG, structured extraction) and API integrations.
• Mentor junior analysts and promote KPI templates and standards.

Skills

SQL

Python

Dashboarding

Data storytelling

Tools

PostgreSQL

FastAPI/Flask

Job description

Senior Data Scientist### Senior Data ScientistApply: Kuala Lumpur: Posted 2 Days Ago: End Date: October 30, 2026 (7 days left to apply): R195556**Grow your career with us** Here at Averis, our common purpose is to improve lives by developing resources sustainably. Our people are crucial in helping us to realise our vision to be one of the best Global Business Solution (GBS) organization to support our customers in creating value for the Community, Country, Climate, Customer and Company.**Responsibilities:****Responsibilities:**Senior Data Scientist is responsible for transforming operational data into actionable insights that improve business performance. The role owns end-to-end delivery: problem framing, dataset and metric design, dashboard development, and the implementation of GenAI-enabled solutions that sit on top of governed enterprise data. The successful candidate is delivery-oriented, collaborative, and capable of shippingreliable solutions that are adopted by business users.**Key Responsibilities*****I) Business & Decision Analytics***• Partner with stakeholders to identify high-impact opportunities where analytics and GenAI improvedecision-making and process performance.• Translate business needs into analytical questions, KPI definitions, reporting requirements, and GenAIuser stories.• Manage a portfolio of deliverables with clear success measures and measurable outcomes.***II) Analytics Engineering & Metric Governance***• Extract, clean, transform, and integrate data from multiple systems to produce trusted analyticsdatasets.• Design and maintain analytics data models (e.g., star schema / subject-area models) to supportreporting and retrieval.• Define auditable metric logic and ensure consistency, data quality, and traceability of key measures.***II) Dashboards, Reporting & Data Storytelling***• Design and develop operational dashboards and reports that clearly communicate performance, trends,and exceptions.• Present insights in business language with clear implications and recommended actions.• Iterate with users to improve usability, clarity, and adoption.***IV) GenAI Solutions (RAG, Chat, Structured Extraction)***• Design and implement GenAI workflows including RAG pipelines (ingestion, chunking, embeddings,retrieval, prompting).• Build document Q&A and structured extraction solutions (documents → fields/JSON) with validationand post-processing.• Build lightweight API services (e.g., FastAPI/Flask) to enable integration with internal systems andworkflows.***V) Mentoring & Standards***• Mentor junior analysts / team members on problem framing, SQL, data modelling, dashboard bestpractices, and GenAI evaluation hygiene.• Define and promote templates and standards for KPI definitions, dashboards, documentation, andevaluation.**Required Qualifications**• 5+ years of experience in data analytics, BI, data science, data engineering, or adjacent roles withend-to-end delivery ownership.• Strong quantitative reasoning and ability to translate ambiguous business problems into structuredanalyses and decisions.• Demonstrated proficiency in:o SQL and relational databases (e.g., PostgreSQL or similar)o Python for data manipulation and analysiso Dashboarding and data storytelling fundamentals (tool-agnostic)• Practical experience delivering at least one of the following in a production or near-production setting:o Retrieval-Augmented Generation (RAG) using a vector databaseo LLM-based structured extraction into JSON / schemaso LLM integration via APIs into an end-user workflow• Strong communication and stakeholder management skills; able to deliver iteratively in time-boxedenvironments.When you send us your resume and personal details, it is deemed you have provided your consent for us to keep or store your information in our database. All the information you have provided is only used for the recruitment process. Averis will only collect, use, process or disclose personal information where and when allowed to under applicable laws. Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you receive no response from us within 60 days, please consider your application for this specific position unsuccessful. We may contact you in the future if there are opportunities that match your qualifications and experience. Thank you for considering a career with Averis.