Data & AI

Data Science Service

Unlock the full potential of your data with ELEKS' data science services. Our tailored solutions empower your business to make informed decisions, enhance operations, and gain valuable insights into customer behaviour, ensuring you deliver exceptional user experiences that boost acquisition and retention.

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Our client’s feedback about delivering a data management platform enhanced with computer vision and AI capabilities

Over a two-year period, the team at ELEKS created exactly what we needed, providing exceptional expertise, professionalism and project management throughout the process, testing, and launch. ELEKS succeeded in helping us improve our ability to trace the flow of recycled tyres while significantly reducing manual transactions and reporting. Thank you to the team at ELES for their professional, dedicated support in reaching this incredible milestone!

Melissa Carlaw

eTRacks, Director of Communications and Marketing

Why choose ELEKS' as your
data science partner

Our clients can rely on our decades of experience in building machine learning models and delivering complex data science projects.
Your project is in safe hands with our data scientists combining mathematical prowess, software development expertise and deep industry knowledge across various sectors.
You can benefit from a cost-effective approach to testing your ideas with our data science consulting services delivering the most efficient project roadmap.
You can now easily create and manage your ML models with ELEKS' Data Science Platform (eDSP), the ultimate accelerator for your data-driven projects.

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Data science
services we deliver

AI development services

Enhance productivity and cut operational costs by integrating artificial intelligence tools into your infrastructure and software systems. Our artificial intelligence development services help businesses streamline workflows, automate manual tasks, and boost customer satisfaction with generative AI solutions, intelligent virtual assistants and smart recommender systems.

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Machine learning development

Leverage ELEKS' machine learning development services to drive informed decisions with predictive analytics, manage risks efficiently, and elevate customer experiences through personalisation. Our expert data scientists craft tailored ML models, delivering invaluable business insights that fuel strategic decisions and help you stand out in the digital landscape.

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MLOPS services

ELEKS' MLOps services allow you to speed up machine learning development and model integration, reducing technical debt and significantly shortening your ML system's development lifecycle. Through automation, we help you streamline manual tasks, allowing for quicker iterations and granting you agility and flexibility in model testing and deployment.

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Intelligent automation

We will help you implement intelligent automation solutions leveraging AI and RPA to introduce time-saving process optimisations and automate manual tasks. You'll benefit from improved efficiency and reduced overheads. With computer vision and natural language processing-powered software robots, you can enhance client support and streamline interactions, improving customer lifetime value.

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Customer success stories

Improved data processing and operational analytics for a logistics enterprise

Enhanced resiliency and improved performance with Big Data infrastructure in the cloud

New machine learning models for day-to-day operating and customer insights

ELEKS assisted Aramex in optimising the performance of its Big Data storage by migrating it to the Azure cloud and implementing significant functional enhancements. After configuring the infrastructure, ELEKS successfully migrated existing machine learning models and introduced new ones to monitor customer ratings and streamline the delivery process in terms of time and effort.

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A comprehensive data management platform to manage recycling processes data from end to end

Adaptable and scalable solution enhanced with computer vision and AI capabilities

Successful market launch and adoption by service providers and producers

ELEKS undertook a comprehensive re-engineering of the eSRP (Sustainable Recovery Platform), an application in use by tire manufacturers and producers to fulfill their legislative obligations. Our team focused on enhancing traceability and scalability while integrating computer vision and AI capabilities to automate transactions and reporting, eliminating the need for manual processes.

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Providing data science expertise to help Edge AI startup mature and meet market demand

As Latent AI grew, it was able to leverage ELEKS' technical expertise and adaptability

ELEKS has delivered niche skills to a prominent edge AI tech startup

ELEKS supported Latent AI's resourcing needs in the AI field throughout their growth, enabling the rapid development, testing, and deployment of features of their MLOps SDK designed to optimise and secure AI models and runtimes to meet market demands and onboard new customers.

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What you get with ELEKS data science services

We'll take your data requirements and create powerful analytical modules that help you identify insight gaps, spot opportunities, improve your business outcomes and tighten your operational efficiency through tools like automation, process optimisation and predictive analytics.

By improving data management, you'll drive an effective digital transformation, enable accurate predictions, gain valuable customer insights, and make smarter business decisions while navigating risks and decreasing your operational costs.

A data analytics and modelling module

Predictive/optimisation model microservices where needed

All necessary documentation and source code

Data flow consultancy, reporting, presentations and demo sessions

Pre-agreed and guaranteed quality level

Analytics models' deployment

How data science services can address your business objectives

Using your data to boost sales

Tailor your services with personalisation and smart recommendations based on advanced machine-learning models.
Reduce churn, minimise sales overheads, and boost conversion rates and Average Order Value (AOV), leading to increased sales.

Improving business efficiency

Enable effective decision-making for strategic planning, resource allocation, marketing and pricing with advanced analytics and machine learning.
Reduce losses and prevent overhead costs by implementing predictive maintenance, adaptive planning solutions, and optimisation practices.

Effectively managing risks

Enhance your risk management and fraud detection capabilities with robotic process automation and predictive analytics solutions.
Instantly qualify leads, quantify successes, predict market demand, enhance your business processes and effectively resolve challenges.

Enhancing operational performance

Generate actionable insights with advanced data analytics applicable across diverse functions and business sectors such as e-commerce, retail, fashion, finance and others.
Optimise processes like call centre workload and inventory management to balance your inventory management costs.

Delivering smart customer experience

Enhance customer interaction across all touchpoints with intelligent digital assistants delivering personalised responses, boosting retention and loyalty.
Refine computer-to-human communication using natural language processing (NLP), computer vision (CV), and deep learning.

Our data science services delivery process

Problem identification and project planning

Data scientists work closely with your stakeholders to identify your business challenges and define project objectives. We define project scope, timelines, and resource requirements, ensuring alignment with your data strategy and goals.
Data collection and exploratory data analysis

We collect relevant data from various data sources, ensuring its quality and integrity. Through exploratory data analysis, our data engineers identify patterns, relationships, and potential insights that will inform subsequent steps in the data science project.
Data preparation and preprocessing

Our data engineering expert focuses on cleaning and preprocessing raw data to ensure it is suitable for analysis. This involves addressing missing values and conducting feature engineering. We split the data into training and testing sets to evaluate model performance accurately.
Data model development and training

We select machine learning algorithms based on the nature of the problem and available data. Then, our data scientist trains multiple models, fine-tuning them for optimal results by adjusting model parameters and assessing performance against predefined metrics.
Model evaluation and testing

Once trained, the models are evaluated using the testing data to assess their performance. We compare different models based on various metrics to choose the best-performing model for deployment.
Machine deployment

We integrate the final solution into your production environment. The process may involve building APIs or deploying the model within your existing software systems. We perform rigorous testing to ensure seamless integration and functionality.
Model monitoring and maintenance

Our data scientists will monitor the model's performance in real-world scenarios, tracking key metrics and collecting feedback to identify issues. As part of ongoing maintenance, we can update the model with new data and retrain it to ensure optimal performance.

What we’ll take care of:

Creating your analysis and data modelling roadmap.
Developing predictive modules.
Acquiring access to any required assets.
Creating optimisation/factor analysis modules.
Creating an initial hypothesis based on data understanding and requirements.
Collating insights then validating and interpreting the model’s performance.
Information retrieval and insights extraction from data.
Developing technical and graphical descriptions/report(s).
Data usage and transformation consulting.
Efficient module deployment (ready to use solution).
Designing a descriptive analysis module.

Industry-specific use cases for data science services

Healthcare

Deep learning for medical imaging solutions
Predictive healthcare
Data analytics for drug discovery and development
Virtual health assistants and chatbots
Machine learning for personalised treatments and diet plans

Retail

Intelligent recommender systems
Demand forecasting models
Visual search, object detection and facial recognition systems
Data-driven dynamic pricing, discounts and rewards
Chatbots and virtual assistants
Computer vision for quality control and fraud prevention

Media and entertainment

Content recommendations and personalisation
Content creation with generative AI
Advanced audience analytics and insights
Personalised marketing campaigns
Content moderation and copyright protection

Finance

RPA tools for fraud detection and prevention
Data-driven risk assessment and management
Business intelligence solutions
Machine learning for personalised financial planning
Portfolio optimisation solutions
Compliance and regulatory reporting automation

Insurance

Data science for underwriting automation
Automated claims processing and fraud detection
Data analytics for risk assessment and loss prevention
Virtual assistants using natural language processing

Logistics

Dynamic route planning and fleet management
Predictive maintenance for vehicles and equipment
Intelligent inventory management and demand forecasting
Software robots for warehouse automation
Solutions for last-mile delivery optimisation

Manufacturing

Predictive maintenance and automated defect detection
Supply chain optimisation solutions
Robotic Process Automation (RPA)
Data-driven energy management and optimisation
Generative AI for product design

Automotive

Autonomous vehicles powered by neural networks
Smart manufacturing and robotics
Predictive maintenance for vehicles
In-car infotainment and smart user experience
Vehicle safety and Advanced Driver-Assistance Systems (ADAS)

Oil, gas and mining

Predictive equipment maintenance
Asset integrity management
Data-driven production optimisation and reservoir management
Machine learning for safety monitoring and incident prevention

Methods and techniques we apply

Descriptive analytics

We help you interpret historical data to gain valuable insights that you can use to enhance your business intelligence, aid decision-making processes, and optimise your business value chain. Descriptive analytics involves extracting insights, pre-processing and evaluating anomalies, central tendency analysis and variance. We also evaluate other key statistical moments such as distributions, frequency, dependency, and factor analysis.

Predictive analytics

Prescriptive analytics

Machine learning algorithms

Neural networks and deep learning

Process optimisation and automation

Estimate the cost of your future project

Get a head start on your project planning with our instant cost calculator. Answer five simple questions and gain clarity on your project's budget. The tool considers essential parameters like your industry, system type, software complexity and business model, providing you with a starting point for understanding your project's costs.

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Technologies we use

Data science services FAQ

What are data management services?

Data management services encompass the efficient organisation, storage, and upkeep of data to ensure accessibility, accuracy, and security. The service includes implementing industry best practices for data collection, data cleaning, integration, and governance. As a result, you'll be able to enhance data quality and usability, thereby driving your analytics initiatives and supporting effective business decision-making across your entire organisation.

What are data and analytics services?

What are the stages of data science?

Data Science Service

Why choose ELEKS' as your
data science partner

Data science
services we deliver

Customer success stories

Optimize your operations with data science solutions

What you get with ELEKS data science services