We can implement your solution from scratch, improve an existing system, help design a robust and compliant data governance framework, or provide continuous data management services.
Data Consulting and Development Services
Since 1989, ScienceSoft has helped companies in healthcare, insurance, investment, manufacturing, retail & e‑commerce, telecoms, and 25+ other industries build secure, compliant data solutions for both internal operations and commercial products. Our experienced team, supported by a structured PMO, guides every step of the technology and development process.
About ScienceSoft
Our Data Services Offering
Data management and analytics
Business intelligence
We consolidate your multi-source data and implement easy-to-navigate dashboards that serve accurate analytics insights and feature clear visuals.
Data warehousing
You get your enterprise-wide data centralized in a single point of truth that is optimized for BI & reporting, scientific research, ML/AI model training, and more.
Data science & AI
We build software for business operation automation, customer experience personalization, fraud detection, remote asset monitoring, and more.
Big data
We build large-scale analytics solutions, systems for production and business operation automation, and low-latency customer apps that support tens of thousands of users.
First-Hand Experience in All Major Industries
Having practical experience in 30+ industries, we give special attention to the domains listed below.
Healthcare
Finance
Data Solutions for Core Business Areas
We Drive Project Success No Matter What
ScienceSoft’s mission is to reach project goals regardless of time and budget constraints. In each step of collaboration, we follow our mature project management practices developed and refined by our in-house PMO. Our mission is supported by ethical conduct — the basis of doing business with all our clients, partners, and employees.
Project scoping
During project scoping, we conduct in-depth interviews with your stakeholders to identify data-related business challenges such as data silos, slow reporting speed, or lack of automation. We then translate these challenges into clear and complete software requirements, prioritize them for implementation, and break the work down into small steps that are easier to track and budget for.
Cost estimation
To ensure the accuracy and transparency of our cost estimates and avoid delivery delays, we account for investments related to software requirements, the necessary tech stack and talents, and operational expenses. We also look for ways to optimize project costs without compromising quality.
Resource allocation
We have proven processes for allocating resources and a pool of internal experts, including business analysts, data engineers, solution architects, compliance experts, project managers, UX/UI designers, and other specialists. It takes us an average of three days to put together a team that covers all project needs.
Collaboration and knowledge sharing
To foster an environment of open dialog and accountability, we set up tailored collaboration forms and ensure transparent project progress reporting. We also follow our best practices for software documentation and knowledge management to make sure our clients retain all the necessary information after the project ends.
UX/UI design
We customize the UI of reports and dashboards to meet the specific needs of various business roles, such as executives, managers, and specialists. Our goal is to provide professionals at every organizational level with straightforward access to data, minimize manual efforts, and facilitate high user adoption through a convenient UX and clear, easy-to-interpret visuals.
Risk management
We develop proactive risk mitigation strategies and contingency plans for comprehensive coverage of various risk factors, including insufficient data accuracy, sensitive data exposure, system scalability and performance issues, possible change requests, and more.
Techs & Tools We Use to Build Reliable Data Solutions
Cloud data storage
- Microsoft Fabric
- Azure Cosmos DB
- Azure Blob Storage
- Azure Data Lake
- Amazon DynamoDB
- Amazon S3
- Amazon RDS
- Amazon Redshift
- Amazon DocumentDB
- Amazon Keyspaces
- MongoDB
Data warehouse technologies
- Microsoft SQL Server
- Microsoft Fabric
- Azure Synapse Analytics
- Amazon Redshift
- Amazon RDS
- Amazon Aurora
- Google BigQuery
- Oracle Autonomous Data Warehouse
- Snowflake
- PostgreSQL
- Teradata
Data integration
- SQL Server Integration Services
- Microsoft Fabric
- Azure Data Factory
- Apache Kafka
- Apache Airflow
- Talend
- Oracle Data Integrator
- Matillion
- Azkaban
- Informatica
- Panoply
- Apache NiFi
- IBM InfoSphere DataStage
Data visualization
- Power BI
- Microsoft Fabric
- Microsoft SQL Server
- Microsoft Excel
- Google Developers Charts
- Tableau
- Grafana
- Chartist.js
- FusionCharts
- DataWrapper
- Infogram
- ChartBlocks
- D3.js
- Oracle Business Intelligence
- MicroStrategy
- QlikView
- Sisense
- Kyubit Business Intelligence
Big data
- Apache Hadoop
- Apache Spark
- Apache Cassandra
- Apache Kafka
- Apache Hive
- Apache ZooKeeper
- Apache HBase
- Azure Cosmos DB
- Amazon Redshift
- Amazon DynamoDB
- MongoDB
- Google Cloud Datastore
Machine learning platforms and services
- Azure Machine Learning
- Azure Cognitive Services
- Microsoft Bot Framework
- Amazon SageMaker AI
- Amazon Transcribe
- Amazon Lex
- Amazon Polly
- Google Cloud AI Platform
- Apache Mahout
- Apache MXNet
- Caffe
- TensorFlow
- Keras
- Torch
- OpenCV
- Apache Spark MLlib
- Theano
- Scikit Learn
- Gensim
- SpaCy
Cloud services
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Security and governance tools
- Apache Airflow
- Talend
- Informatica
- Zaloni Arena
- Apache ZooKeeper
- Azkaban
- AWS Cloud Security services
- Azure Security services
Why Companies Entrust Their Data Initiatives to ScienceSoft
We make our ISO 9001-certified quality management system an integral part of every project and continuously improve our established processes.
Our ISO 27001-certified data protection practices include intellectual property protection (e.g., signing an NDA), the creation of a secure project environment, and strict data access management.
We have data experts with dedicated specializations, including BI, big data, ML/AI, edge computing, and data science. Our data science professionals and solution architects have 9–27 years of experience.
With 48 project managers holding PSM I, PMP, and other relevant certifications, we are ready to carry out large-scale and distributed projects.
ScienceSoft in Industry Media
From Assist to Resolve: Multi-Agent Model for AI-First Healthcare Contact Centres
by Hadeel Abu Baker, Senior Healthcare IT Consultant at ScienceSoft
March 23, 2026
Deploying Agentic AI for Insurance Fraud Detection: A Practical Look
by Vadim Belski, Head of AI, Principal Architect at ScienceSoft
November 25, 2025
10 Enterprise Data Storage Solutions
with contributions from Alex Bekker, Principal Architect, AI & Data Management Expert at ScienceSoft
September 5, 2025