Senior Data Scientist

MY20 EntServ Malaysia Sdn. Bhd.; Petaling Jaya; On-site; MYR 240,000 - 420,000; Full time

Job summary

DXC Technology in Putrajaya, Malaysia is seeking a Senior Data Scientist to lead advanced ML initiatives in banking domain, delivering end-to-end solutions from model design to deployment.

You will work closely with product, business, and engineering teams in an agile environment, mentor juniors, and ensure models are robust, fair, and compliant.

The role emphasizes rapid prototyping, strong analytics, and clear stakeholder communication in an English-speaking environment.

Qualifications

• 7+ years of experience in Data Science / Machine Learning.
• Proven experience in banking or financial services.
• Strong expertise in ML/DL (supervised, unsupervised, NLP, time series).
• Hands-on experience with Python (scikit‑learn, TensorFlow, PyTorch, XGBoost, LightGBM).
• Solid understanding of LLMs and modern techniques (fine‑tuning, RAG, prompt engineering, agents).
• Strong foundation in statistics, EDA, feature engineering, and model evaluation.
• Experience with SQL and large-scale data processing.
• Exposure to cloud ML platforms (AWS, Azure, or GCP).
• Familiarity with Git, Jupyter, Databricks.

Responsibilities

• Track latest AI/ML developments (LLMs, architectures, emerging techniques) and assess relevance to business use cases.
• Evaluate feasibility of AI solutions and recommend optimal technical approach.
• Build rapid POCs (2–3 days) to validate ideas before investment.
• Benchmark vendor and open-source solutions with clear comparison and recommendations.
• Design and develop ML/DL models end-to-end (algorithm selection, feature engineering, optimisation).
• Deliver prototypes within short timelines (2–4 weeks) with strong validation standards.
• Ensure model performance, robustness, and bias checks.
• Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate prototyping and development.
• Collaborate with product, business, and engineering teams in an agile environment.
• Support junior team members through mentoring, code reviews, and knowledge sharing.

Skills

Data science

Machine learning

Banking domain

LLMs

Python

Statistical analysis

Feature engineering

Model evaluation

Time series

NLP

Tools

Python

TensorFlow

PyTorch

XGBoost

LightGBM

SQL

AWS

Azure

GCP

Databricks

Git

Jupyter

Job description

Key Responsibilities

• Track latest AI/ML developments (LLMs, architectures, emerging techniques) and assess relevance to business use cases
• Evaluate feasibility of AI solutions and recommend optimal technical approach
• Build rapid POCs (2–3 days) to validate ideas before investment
• Benchmark vendor and open‑source solutions with clear comparison and recommendations
• Design and develop ML/DL models end-to-end (algorithm selection, feature engineering, optimisation)
• Deliver prototypes within short timelines (2–4 weeks) with strong validation standards
• Ensure model performance, robustness, and bias checks
• Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate prototyping and development
• Collaborate with product, business, and engineering teams in an agile environment
• Support junior team members through mentoring, code reviews, and knowledge sharing

Skills & Experience

• 7+ years of experience in Data Science / Machine Learning
• Proven experience in banking or financial services
• Strong expertise in ML/DL (supervised, unsupervised, NLP, time series)
• Hands‑on experience with Python (scikit‑learn, TensorFlow, PyTorch, XGBoost, LightGBM)
• Solid understanding of LLMs and modern techniques (fine‑tuning, RAG, prompt engineering, agents)
• Strong foundation in statistics, EDA, feature engineering, and model evaluation
• Experience with SQL and large‑scale data processing
• Exposure to cloud ML platforms (AWS, Azure, or GCP)
• Familiarity with Git, Jupyter, Databricks

Preferred Skills & Attributes

• Experience in Computer Vision, Reinforcement Learning, or Graph ML
• Strong analytical thinking and problem‑solving
• Ability to simplify complex topics into clear recommendations
• Critical mindset towards model outputs and AI‑generated code
• Pragmatic, with focus on speed and business impact
• Strong communication and stakeholder management
• Comfortable working in ambiguity
• Proactive, with ownership and mentoring mindset

Work Environment

Agile, fast‑paced innovation environment Close collaboration with business, product, and engineering teams Focus on rapid experimentation and delivery of AI solutions English‑speaking environment (fluency required) Work Location: Putrajaya (Fully onsite role)

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in‑person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

About DXC Technology

DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry‑Specific Software Solutions, DXC modernizes, secures, and operates some of the world’s most complex technology estates. Learn more on dxc.com.