Dxc Technology
SeniorAI/MLDataScientist–Innovation&ModelDevelopment
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“Senior AI/ML Data Scientist – Innovation & Model Development at Dxc Technology. Skills: AI/ML, LLMs, Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, SQL, Databricks. 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”
What You'll Achieve.
assess relevance to business use cases; validate ideas before investment; clear comparison and recommendations; Deliver prototypes within short timelines (2–4 weeks) with validation standards; Ensure model performance, robustness, and bias checks; accelerate prototyping and development; focus on speed and business impact
Industry & Context.
analytical thinking and problem-solving; Critical mindset towards model outputs and AI-generated code
What They're Looking For.
Must Have
7+ years of experience in Data Science / Machine Learning, Proven experience in banking or financial services, SQL, large-scale data processing
Nice to Have
Experience in Computer Vision, Reinforcement Learning, or Graph ML, 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, communication and stakeholder management, Comfortable working in ambiguity, Proactive, with ownership and mentoring mindset
What You'll Do.
Track latest AI/ML developments (LLMs
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
Deliver prototypes within short timelines (2–4 weeks) with validation standards
Ensure model performance
Use generative AI tools (e.g. Copilot
Cursor) to accelerate prototyping and development
How You'll Work.
Team & Collaboration
Collaborate with product, business, and engineering teams in an agile environment; Support junior team members through mentoring, code reviews, and knowledge sharing; Close collaboration with business, product, and engineering teams
Communication Scope
communication; stakeholder management; Ability to simplify complex topics into clear recommendations; English-speaking environment (fluency required)
Full Job Description
**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 managemen
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