Best data science companies

Benefits of choosing the right data science company 

Every company today wants to invest in data science and AI – to gain predictive power, to offer smooth customer experience, personalize their services, prevent fraud, or automate specific tasks.  

Having an in-house data science team helps here strategize the right solution and developing it. But in reality, it takes a village to build these solutions and get the expected outcomes in reasonable timelines. So, here are the reasons a company need third-party data science company’s assistance: 

Access to a wide expertise: with a data science company, you could get to choose from a wide range of AI/ML professionals, data scientists, and architects, with experience working in all industries, domains, tools, & technologies. Thus, you could trust them to solve your complex challenges and bring satisfactory results, working closely with your internal team.  

Can help with all types of solutions: sales forecasting, predictive analytics, recommender systems, AI-driven prescriptive insights, or advanced chatbots, data science companies could help with all types of requirements. 

Fast project delivery: since they have dedicated resources, you could be assured of receiving timely responses and fast deployment. This could be a bane for companies with in-house teams, as they could aggregate efforts easily and launch way faster than planned. 

It's flexible: Need help improving existing solutions? need something new, - turnkey or customized? Or just need an additional hand to finish your project? Nothing a data science company can’t help!  

Extended support: most data science companies don’t leave you alone with the figuring out process; they stick around offering additional support through a dedicated team. The team helps you get started, track improvements, and helps with troubleshooting or anything related to the project. 

Is data analytics a part of data science offerings? 

When we talk about data science, the question often arises about data analytics vs data science, and if they intersect anywhere. They do, yet the purpose, approach, and tools slightly differ. While data analytics is descriptive in nature that highlights what happened and why, predictive analytics is predictive and prescriptive and dives into what will happen. 

Note: We wanted to simplify your hunt for the best data science companies; that’s why the list only has 10 numbers, though there are many other service providers all over the world. The list is only a list, not ranked or listed based on good to best or vice versa. It’s a mix of large enterprises, pure-play data companies, and mid-sized, well-established IT services companies – just to help you narrow down the right partner fast.

List of top data science companies 

IBM 

Being the topmost tech consulting company, IBM needs no introductions. It’s also one of the best data science companies, courtesy being their incredible AI solutions and models. Being an early-bird AI adopters, they have built some cool tools like Watson Studio and AI assistants and open-source AI models like granite 3.0 suite. Their flagship product Watson Studio is used by many data scientists for model building, training, and deployment. (One of its notable achievements include beating real Chess Champions on Jeopardy). Along with their data tools ecosystem, they support businesses implement AI solutions in the best way possible.  

Industries: Retail, healthcare, finance, customer service, and operations. 

Data science tools/solutions 

• AI consulting 

• AI-ready infrastructure 

• Embedded AI 

• Anomaly analytics 

• Natural language processing 

• AIOps & more. 

Website: IBM 

LinkedIn: LinkedIn 

NVIDIA 

NVIDIA is an all-inclusive IT services provider, known as leaders in AI computing. They offer a wide range of solutions from cloud computing to AI to Gen AI to self-driving vehicles other than tech, cloud, and gaming products. With more than 1k+ data scientists and senior professionals, they could help you with everything from consulting to modelling to simulation.  

Industries: Financial services, healthcare, general education, media and entertainment, retail and CPG, game development, telecommunications, and more. 

Data science tools/solutions 

• Data analytics 

• Conversational AI 

• Prediction and forecasting 

• Speech AI 

• AI inferences and workflows 

• Vision AI 

• In-vehicle computing & more. 

Website: NVIDIA 

LinkedIn: LinkedIn 

MathCo 

MathCo, previously called TheMathCompany is an exclusive data, math, and AI company, tailored to suit different industries and requirements. They also have a proprietary platform that help businesses implement end-to-end automation while building data science and Gen AI use cases. MathCo is also recognized by AIM research for being a top gen AI service provider of 2024, ranked within top 10 positions for Gen AI solutions’ penetration & maturity levels.  

Industries: CPG, retail, healthcare, and automotive.  

Data science solutions 

• Data science consulting 

• Predictive modelling 

• Statistical modelling 

• AI/ML blueprint 

• Gen AI and other data science & analytics solutions 

Website: MathCo 

LinkedIn: LinkedIn 

Fractal 

Fractal analytics is a data science and AI company, that has worked with many fortune 500 companies world-wide, being strategic analytics and data partner. Other than offering data science services and solutions, they also have AI products namely Asper.ai, Eugenie.ai, Senseforth.ai, and more, to help companies, which augments and automate various aspects of businesses. For example, Senseforth.ai helps companies build inventive AI-based chatbots. 

Industries: CPG, retail, insurance, financial services, manufacturing, tech, media, and telecom, etc. 

Data science tools/solutions 

• Text analytics 

• Image and video analytics 

• Quantum computing 

• Gen AI and more. 

Website: Fractal analytics 

LinkedIn: LinkedIn 

DataRobot 

DataRobot is an exclusive AI platforms and solutions company which helps businesses bring maximal impact out of their AI investments. Having developed custom AI apps and platforms to suit multiple core areas of the business, from supply chain to customer service to finances and budgeting, they also help companies become AI & ML ready and save time through workflow automation. They offer services in three levels – foundational, quick-start, and executional, each step taking you closer to AI adoption and maturity, while being aligned with your specific goals. 

Industries: Energy, financial services, healthcare, manufacturing, and public sector. 

Data science & AI solutions 

• AI road mapping 

• Predictive AI 

• AI Governance 

• Gen AI 

• AI foundation 

• AI observability 

• And more. 

Website: DataRobot 

LinkedIn: LinkedIn 

C5i 

C5i is an eminent data analytics and data science player, which follows an industry-specific solutions approach. Their range of services go from customer analytics to marketing insights to supply chain and enterprise AI solutions. Partnering with data platforms like Microsoft, Google Cloud, and AWS, they help businesses manage data architecture and build impactful analytics, AI, and Gen AI solutions. 

Industries: Retail, technology, telecom and media, banking, CPG, pharma, and more. 

Data science solutions 

• Industry 5.0 

• Enterprise AI 

• Digital analytics 

• Consumer analytics 

• AI-powered augmented analytics and more.  

Website: C5i 

LinkedIn: LinkedIn 

Diggibyte 

Diggibyte is a data analytics, data science, and analytics company with comprehensive range of services for across industries. They help with data management, platform engineering, as well along with building and integrating AI model into business environments. Their highly strategized data use cases – from fraud to risk management to data-driven decision-making fits well for all types of businesses & their needs. 

Industries: Manufacturing, public sector, retail, telecom, healthcare, banking, etc. 

Data science solutions 

• Advisory and consulting 

• Advanced business analytics 

• AI/ML model building and deployment and more. 

Website: Diggibyte 

LinkedIn: LinkedIn 

Mu Sigma 

Mu Sigma is a math and data science company, known for being an out-and-out decision sciences company. They are a combination of a consulting firm, a product firm, and an IT company, as their unique approach to decisions by the means of AI & ML lies at the heart of all the above. Other than offering out-of-the-box decision science solutions, they also own an innovation hub called Mu Sigma labs, to foster innovation through data engineering, analytics, and data science services. 

Industries: banking, pharma, CPG, healthcare, insurance, manufacturing, and more. 

Data science solutions 

• Advanced analytics 

• Decision sciences 

• ML/AI development 

• Optimization 

• Sentiment analysis 

• & other industry specific solutions. 

Website: Mu Sigma 

LinkedIn: LinkedIn 

Accenture 

Being known for one of the biggest multi-national corporations, Accenture hires lots of data scientists every year and help organizations re-invent with data and AI. Not only are they partners with modernistic cloud-based data platforms like Databricks and Snowflake, but they have also been recognized for being a leading player in advanced analytics. Their range of offerings includes everything – spanning from cloud to data to AI to Gen AI. 

Industries: Banking, software and platforms, energy, industrial, natural resources, utilities, and more. 

Data science solutions 

• Strategy and consulting 

• Suite of AI solutions targeted on multiple industries and functional areas. 

• Gen AI services 

• Gen AI powered cyber security 

Website: Accenture 

LinkedIn: LinkedIn 

Genpact 

Genpact is an IT services and digital transformation company, which was started as a unit of General Electric company as a business processing outsourcing unit. From there, the growth of Genpact has been tremendous over years, now offering digital services like cloud, data, and AI. They work with a majority of business sectors: supply chain, finance, procurement, HR, sales, and other services. 

Industries: Banking, consumer goods and retail, healthcare, tech, entertainment, insurance. 

Data science solutions 

• AI/ML implementation 

• Consultation 

• MLOps implementation 

• Forecasting and prediction systems 

• Recommendation systems 

• Optimization solutions.

Website: Genpact 

LinkedIn: LinkedIn 

Final thoughts 

Every business data science services – decision making support, prediction/forecasting systems, customized chat bot engines, scenario planning simulation models, or any system with predictive or prescriptive powers. The reason why you need an external support from best data science companies is that you need a lot of resources to convert the data to strategy to perfect solutions solving business problems.

Also, the amount of work goes behind data discovery, process automation, model testing, fine tuning, and let’s not forget specific processes like feature engineering and hyperparameter tuning. Aside from the grinding processes, achieving success with AI initiatives itself is a huge challenge, which proves the need for seeking help from the right agents.  

If you need help with AI/ML development and achieve bottom-line improving results, datakulture is here to help you. A little introduction about us – we are a pure-play data analytics and AI company, providing end-to-end assistance with data science solutions – strategy & roadmap, tailored data engineering services, advanced analytics & BI, and finally data science and AI.

Our data science team includes mathematicians, data scientists, data architects, and ML/AI specialists with an average experience of over 15 years. We start with a discovery call to understand the problem you are trying to solve or the improvement you want to achieve. With the right team, tools, and technology, we build your desired solution within desired timelines and budget. Our high success rate stems from our expert team, their knowledge across domains, and their commitment to bring success. Check out some of our previous works – data science and AI solutions we have built for retail, logistics, banking, and finance.