Senior Data Scientist

Summary

Build and validate AI/ML models (LLMs, NLP, CV) for banking use cases, rapidly prototype solutions, and mentor junior team members in a collaborative, onsite environment.

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

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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Hirer responsiveness Salary match Number of applicants

Information Technology Services More than 10,000 employees

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.

Perks and benefits Medical Miscellaneous allowance Education support Dental Retirement, Other rewards and recognition, Insuran

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