Senior Data Scientist
At a glance
Senior Data Science role at Dxctechnology. Petaling Jaya · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Scan new AI and machine learning methods, then judge where they could serve business needs
- Test promising ideas with quick proofs of concept and compare vendor options with open-source alternatives
- Build and validate end-to-end machine learning models, from choosing methods through feature work and tuning
- Check models for accuracy, reliability and bias, and deliver prototypes on short schedules
- Work with business, product and engineering teams, while coaching junior colleagues through reviews and knowledge sharing
What you bring
- At least seven years working in data science or machine learning, including banking or financial services experience
- Strong practical knowledge of machine learning and deep learning, including supervised, unsupervised, NLP or time-series work
- You can build with Python and its listed ML libraries, and apply LLM methods such as fine-tuning, RAG or prompt engineering
- You bring a grounding in statistics, exploratory analysis, feature development and model assessment, plus SQL and large-scale data work
- You are fluent in English
Who this fits
This senior role suits someone who can turn emerging AI methods into tested prototypes and clear recommendations, while mentoring junior team members. The position is fully onsite in Putrajaya, with close collaboration across business, product and engineering.
From the employer
Job Description:
Senior AI/ML Data Scientist – Innovation & Model Development
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.
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