Data science consulting services
Behind every dataset lies hidden value – our experts make sure you don’t miss it.
22+
years of custom software development
5+
years in data science
40+
clients worldwide
Data science brings knowledge
Data science is about finding insights in your data. We help you collect, process, and make sense of data.
Analyze
Predict
Explore
Experiment
Visualize
Understand
Our data science consulting services
Basic consulting
New to data science? Learn how to fit it into your workflow for best results.
Data strategy
Align your business goals to the data strategy. Don’t waste your budget in the wrong place.
Project overseeing
Already have a data science project? Push through bottlenecks with our independent experts.
Data governance
Comply with your industry, local, and global regulations. Learn from our experience and launch smoothly.
Step-by-step data science consulting
Don’t pay anything before your development takes off. Start from scratch or hire data scientists for your project.
1
Exploration call
Discuss your basic goals, budget, and requirements.
2
NDA
Protect your data.
3
Data check
We’ll see if your data is good enough for your project.
4
POC development
See if data science can help your goals. Get a detailed action plan for introducing data science.
What is next?
Path 1
Data science development
- Optimize data pipeline
- Prototype development
- MVP development
- Maintenance and upgrades
Path 2
Oversee your project
- Get experts to oversee your project
- Push through bottlenecks
- Scale your data science team quickly and with no bureaucracy
Data services we do
Here’s how our clients benefit from data science
Solution: Behavior & sales analytics A global retail company
Client: A global retail company
We built a model for behavior analysis and sales forecasts. With data, our client finds little ways to optimize the UX and decrease churn rates. The solution also predicts future sales based on seasonality, marketing campaigns, reviews, and even global economic conditions.
What they had
- 3,000,000 customers
- Gigabytes of unprepared data
What we did
- Consulted on the data strategy
- Optimized data infrastructure
- Trained the algorithm
The impact
5%
Operating expenses cut thanks to better planning accuracy and optimized budget allocation.
15%
More data utilized thanks to more accurate insights.
10%
Decreased churn thanks to better user experience.
Solution: AI document assistant
Client: A US telecommunication company
The larger your company, the more paperwork there is. The more paperwork, the harder it is to stay transparent. When the employees are not on board with the company vision, you can’t expect it from the customers.
That’s why we developed a digital paperwork assistant. Employees can ask anything: from vacation policy to Q3 sales reports. Instead of browsing through piles of documents, employees can instant replies.
The model protects the company’s privacy. It only answers the question if the employee has the right permissions.
What they had
Scattered documents: policy, onboarding materials, information about benefits, etc.
What we did
We built an LLM to find answers to any company-related questions.
The impact
Increased productivity
There’s no need to search and read through a pile of documents for the answer. Just ask the assistant.
Faster onboarding
With the assistant, onboarding goes smoothly. Every employee can ask questions at any moment.
Easy-to-grasp policy
Documents are mostly written in legalese, not plain English. The AI assistant boils them down so every employee can understand them.
Solution: Insurance scoring
Client: An insurance company
The insurance company had a basic customer scoring. It considered few data sources and lacked accuracy. The new model automatically evaluates customers on a much deeper level.
What they had
- A basic customer scoring algorithm based on a decision tree
- Terabytes of structured customer data
What we did
- Built a roadmap
- Improved the data: cleaned, normalized, and standardized.
- Trained the model. Picked the right algorithm, trained, and validated the model.
The impact
Personalized insurance
Now the company can deliver custom insurance packages at the best price.
Better risk management
Inaccurate results are curbed down to the absolute minimum.
Automated analysis
Fully automated customer scoring in less than an hour.
Meet the data science consultants
We are heavily industry-focused. We’ve worked with clients from 15+ industries, but our core expertise is in education, healthcare, and logistics.
Alex
Data Science Consultant
Experienced Data Science Consultant with over 14 years of expertise in predictive modelling, data processing, and building data teams across multiple sectors. 5+ years of leadership, including a role as Head of Data Analytics at a 2 Unicorn companies. Holds a Ph.D. in Radiophysics.
Hanna
Data Science Consultant
More than 4 years of experience in Machine Learning and Data Science, time series, computer vision, audio processing, LLMs, data and transaction analysis with focus on Retail, Healthcare, and Banking. B2 in English and German.
Tell us about your challenge
As a trusted data science consulting company, we are proud to have expertise in a wide variety of domains.
The only question is when you are ready to get started.
Budget your data science initiatives
Take 2 minutes to estimate the budget for your project.
Why Aristek?
Because we are true data experts.
Security and compliance first
Meet local, global, and industry regulations.
Industry focused
We have experts in 15 industries for true data insights.
AI-focused company
With MSc- and PhD-level data scientists.
Custom algorithms
To tackle unique challenges and outshine competitors.
Integrations with external models
For powerful yet cost-effective solutions.
AI and DS-focused R&D
For secure and scalable cloud computing.
22
Years in tech
5
Years in data science
40
Clients served
15
Industries
150
Employees
1
R&D with focus on DS
Consulting
Get a step-by-step data strategy
Development
Turn data science ideas into reality
Maintenance
We support your project even after launch
Frequently asked questions
The development timeline provided by a data science consulting company varies depending on the project’s complexity, scope, and specific requirements. For instance, a proof of concept (PoC) might take a few weeks, while a full-scale enterprise solution could span several months. Factors influencing the timeline include data availability, integration needs, and the complexity of the desired AI models.
We prioritize data security and adhere to industry standards and regulations, including GDPR and HIPAA. Our practices encompass:
- NDA. We sign local contracts in the USA, Lithuania, or the UAE – whichever jurisdiction suits you best.
- Anonymized data. We remove any personally identifiable information like names, addresses, or phone numbers.
- Aggregated data. We combine data from multiple sources, to make it less specific.
- Minimized data. We collect as little information as the project needs, no more.
- Encryption, both in-transit and at-rest.
Isolated systems. We separate your data, code, and configurations. You can monitor and manage data access 24/7.
We’ve debunked the myth about potential data leakage in data science professional services – check out the dedicated material in our blog.
Data science was called “the sexiest job of the 21st century” back in 2012 – over a decade ago. The world has only become more digital since, and as a data science consulting company, we can assure you: the faster you start leveraging data science, the greater your advantage over competitors.
Check our pricing calculator to get the specifics. But two main factors drive the costs up:
- Computing costs. Getting data-driven is the new norm, even tech-conservative companies are getting into data science. But computing power is limited and costly. That’s why it’s wise to start a data science project now and not wait until the computing prices surge.
- Demand for data experts. Data scientists and data engineers are in huge demand. The average data scientist salary in the USA is $120-200 K. To bring down the costs, you can outsource talent. We have PhD and MS-level data scientists at a much lower rate.
Post-deployment, we offer comprehensive support, including system monitoring, performance optimization, and updates to adapt to evolving business needs. Our data science and analytics services ensure that your data science solutions continue to deliver value and operate efficiently over time.
AI is about simulating intelligence: making computers do what people usually do. That can be playing chess, generating videos, or creating sales reports.
Data science is about finding insights in data. Generating cat pictures is not data science, but generating a sales report is.
AI often overlaps with data science, but it doesn’t have to. The sales report example is both AI and DS. But data science isn’t always about AI. You can do some basic data science even in MS Excel.
