Data and AI PH – Associate Manager Data Scientist

• Lead end-to-end data science projects from problem definition to deployment and monitoring.
• Business Analysis: Translate business challenges into data science problems and propose optimal solutions.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and experimentation.
• Collaborate with stakeholders aligning data science initiatives with strategic goals.
• Provides advisory and consultation services to determine the right solution
• Participates in Technical/Work product Reviews
  • Contributes to knowledge tools and communities, and ensures project learnings are documented and shared.
  • Knowledge sharing and re-use within practice or profession.
  • Mentors junior team members, providing technical assistance and constructive feedback.
  Technical Responsibilities
  • Design, develop, and validate predictive models, classification algorithms, and other data science assets using statistical and machine learning techniques.
  • Perform exploratory data analysis, feature engineering, and model tuning to improve performance.
  • Build scalable data pipelines and integrate models into production environments in collaboration with data engineering and MLOps teams.
  • Evaluate model performance using appropriate metrics and ensure robustness, fairness, and explainability.
  • Stay current with advancements in AI/ML and recommend adoption of relevant technologies and methodologies.
  Operational Responsibilities
  • Document methodologies, workflows, and model assumptions for transparency and reproducibility.
    • Ensure compliance with data governance, privacy, and ethical AI standards.
    Qualifications & Experience

Education and Experience:

• 5+ years of professional experience as a Data Scientist/ AI/ML Engineer and a Bachelor of Arts/Science or equivalent degree in computer science or related area of study; without a degree, three additional years of relevant professional experience (8+ years in total).
• Proven track record of delivering impactful data science solutions in enterprise environments.
• Experience working with large-scale structured and unstructured data.

• Proficiency in Python, R, SQL, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Strong understanding of statistical modeling, machine learning, deep learning, NLP, GenAI
• Experience with cloud platforms (Preferred: Azure, GCP, AWS ) specifically cloud-based AI/ML tools and containerization tools (Docker, Kubernetes).
• Experience with LLMs, RAG, LangChain, Generative AI
• Knowledge of data visualization tools (Power BI, Tableau, Plotly).
• Familiarity with MLOps practices and tools (MLflow, Airflow, CI/CD pipelines).

• Strong problem-solving and critical thinking abilities.
• Ability to manage multiple projects and prioritize effectively.
• Collaborative mindset with a proactive approach to stakeholder engagement.
• Excellent communication and storytelling skills to convey complex insights to non-technical stakeholders.
• Strong time management practice, able to prioritize project demands within the allocated time.
• Champion of continuous learning

• Microsoft Certified: Azure Data Scientist Associate or Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning

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 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 .