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About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Summary:
We are seeking a visionary Data Scientist to spearhead our AI and advanced analytics initiatives within the customer & agency domain. This role is ideal for a seasoned professional who thrives at the intersection of cutting-edge technology, ethical AI, and strategic business impact. You will lead the development and deployment of high-impact data science solutions, drive innovation in Generative and Agentic AI, and champion responsible AI practices across the organization.

Key Responsibilities:
*Analytical Rigor & Experimentation: Lead feature engineering, hypothesis testing, A/B and multivariate testing, uplift modeling, and (where applicable) causal inference to establish clear attribution of impact.
*Traditional & Applied ML Depth: Apply tree-based methods (XGBoost/LightGBM), time-series (forecasting, survival/churn), clustering/segmentation, recommendation/ranking, and NLP analytics (intent classification, NER, topic modeling, embedding-based similarity).
*Production Analytics: Build batch/streaming scoring pipelines, leverage feature stores, and implement continuous monitoring for data drift, model drift, and performance.
*Governance & Compliance: Maintain model documentation, explainability, bias/fairness assessment, and align with regulatory expectations for insurance/health.
*Model Development & Deployment: Build, test, deliver, and maintain robust data science and AI models that solve complex business challenges.
*Responsible AI Leadership: Embed the highest standards of AI ethics and responsible AI in all phases of model development and deployment.
*Business Alignment & Impact: Influence and translate strategic business objectives into actionable data science requirements; translate models into measurable outcomes and drive stakeholder adoption and change management.
*Health Pillar Support: Drive ideation and delivery of advanced analytics and AI solutions within the health vertical, especially on AI-based conversational chatbots.
*Conversational AI Ownership: Lead the design, development, and optimization of intelligent chatbots and conversational agents.
*Innovation & Thought Leadership: Continuously explore and implement best-in-class solutions in Generative and Agentic AI.
*Collaboration & Cross-Functional Delivery: Partner closely with Engineering, Product, UX, Risk/Compliance, Operations, and channel teams (web, mobile, contact center) to plan, ship, and iterate analytics solutions; co-create runbooks, enablement materials, and ensure smooth handoffs to operations.

Role Requirements & Qualifications
*Bachelor’s or master’s in data science, Computer Science, AI, or related quantitative field.
*5+ years (Bachelors) or 3+ years post-Masters in AI/Data Science.
*Expert in Python, SQL, PySpark, scikit-learn, XGBoost/LightGBM, NLP libraries, MLflow for tracking.
*Preferably with conversational chatbots utilizing LLMs for intent detection, Geolocation Analytics, Churn Modelling, Cluster Analysis, Recommendation Engine.
*Hands-on experience with Azure or Google Cloud.
*Experience in managing ML artifacts, monitoring for drift, data quality checks, CI/CD for model releases and LLM cost optimization is a strong plus.
*Experience with SHAP/explainers, fairness metrics, bias detection & mitigation in regulated domains.
*Experience with feature stores, batch/streaming scoring, and observability dashboards for model health.
*Proven track record managing delivery teams of data scientists and AI engineers.
*Exceptional ability to communicate across technical and non-technical audiences.
*Strong team player with cross-functional and cross-geography collaboration skills.
*Demonstrated critical thinking and analytical capabilities.

Why Join Us:
* Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
* Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
* Competitive compensation & benefits, ESOPs and international assignments.
* Supportive environment with healthy work-life balance and a focus on employee well-being.
* Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.