Data Science Services

Advanced AI/ML and data science services built on cloud-native platforms, real-time data pipelines, and secure governance frameworks.

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Struggling to turn raw, high risk data into measurable business outcomes?

Custom analytics and ML models are designed, trained, and governed on secure cloud data estates, translating complex datasets into auditable, business ready decisions.

Finding it hard to operationalize AI beyond prototypes and PoCs securely?

We enable production grade MLOps pipelines for secure model deployment, monitoring, versioning, and access control, ensuring reliable AI operations.

Lacking the data quality, governance, or controls needed for secure AI adoption?

AI ready data foundations are established on Azure and Microsoft Fabric, reinforced with Purview led governance, lineage, classification, and policy driven access controls.

Transform Data Patterns Into Meaningful Predictions

Every organization collects data for AI and ML pipelines, but only a few turn it into intelligence. Data complexity, quality issues, and governance gaps create friction that stops AI from becoming truly operational.

LevelShift solves this by connecting the entire pipeline with its data science services: high-quality data, governed modeling, secure deployment, and continuous monitoring, so AI becomes a reliable, production-ready capability for businesses.

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Operationalizing Data Science for Real Business Decisions

Data science bridges that gap: transforms historical patterns, live data streams, customer behavior signals, and operational metrics into meaningful predictions.

LevelShift approaches data science as an end-to-end discipline:

We begin by understanding your business questions, exploring your data, and identifying the strongest opportunities for predictive and prescriptive modeling.

We build models using proven frameworks, evaluate their performance, optimize fairness and accuracy, and deploy them into secure, scalable environments.

Our Data Science Services

Data Science Consulting

Identify high-impact business use cases, assess data readiness, and define modeling approaches aligned to measurable outcomes and ROI.

Predictive and Statistical Modeling

Develop forecasting, classification, regression, NLP, and optimization models to anticipate trends, reduce risk, and improve decision accuracy.

ML Engineering and Feature Pipelines

Design and scale end-to-end ML pipelines, including feature engineering and training workflows, using Azure ML, Microsoft Fabric, Databricks, or Synapse.

Model Operationalization (MLOps)

Operationalize models with automated deployment, version control, performance monitoring, retraining, and CI/CD to ensure reliability in production.

Generative AI and Applied Solutions

Build enterprise-ready GenAI solutions such as LLM-powered assistants, document intelligence, summarization, and agent-based workflows securely integrated with business data.

Governance and Compliance

Embed fairness, explainability, lineage, and risk controls across the ML lifecycle using Purview-aligned governance and compliance frameworks.
Data Sciences Services Illustration

As a Microsoft Solution and Fabric Featured Partner, LevelShift can help you secure ECIF funding and take advantage of Microsoft Azure Consumption Commitment (MACC) for your PoC and implementation.

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Why Enterprises Choose LevelShift for Data Science

  • Proven expertise across Azure ML, Fabric ML, and hybrid ML stacks
  • Experience operationalizing AI for enterprise-scale workloads
  • AI Library and advanced accelerators for modeling, MLOps, and deployment
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner

Where are you in your Data Transformation Journey?

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Data Modernization Your Path to Data Transformation

Our Perspectives

FAQs

Most vendors run isolated POCs that never reach production. We design end-to-end data science programs that include use-case discovery, data quality remediation, MLOps engineering, Purview-based governance, secure model deployment, and real adoption across business units—not just model experiments.

Yes. We specialize in Fabric ML, Azure ML, Synapse ML, and hybrid architectures, including model training, pipeline orchestration, feature store management, evaluation, and secure model hosting aligned to Microsoft's data ecosystem.

Yes. We integrate ML outputs into CRM, ERP, supply-chain, productivity, and operational systems through APIs, Fabric pipelines, Power Platform, and secure event triggers so insights become part of daily decision-making.

Absolutely. MLOps automation, CI/CD, versioning, and monitoring are core parts of our service.

Yes. We address data readiness, lineage gaps, metadata enrichment, access boundaries, masking, and compliance using Microsoft Purview, Fabric governance controls, and DCS frameworks so your data platforms are trustworthy enough for AI.

Yes. We build LLM-based assistants, document intelligence solutions, and agent workflows.

Build predictive, scalable, and governed AI solutions with LevelShift’s Data Science Services.

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