Our aim at Chi Square Analytics is to become Europe’s leading Data Analytics, AI and DevOps recruitment consultancy by helping our clients attract top talent and furthering the careers of those we place. Data is at the heart of everything we do. We partner with leading organisations across Europe, which ensures that our truly international approach delivers success every time.
Data Science & AI
Data science is a multi-disciplinary field that uses scientific methods, statistics, algorithms and systems to extract insights from structured and unstructured data.
It is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data.
DevOps
DevOps is a mixture of Development and Operations, seen by many as a culture, movement or practice which enables software engineers and operations to communicate together efficiently. In essence, DevOps can be seen as a cross functional working method allowing a collaborative workflow through technology teams.
Infrastructure& Cloud
An infrastructure engineer designs, builds, and maintains the underlying systems supporting an organization’s operations. This could include everything from the physical hardware and networks that support a company’s computer systems as well as software systems that manage and orchestrate those resources.
A cloud engineer is a specialized type of infrastructure engineer focusing on designing, building, and maintaining cloud computing systems. These systems involve delivering computing resources, such as servers, storage, and databases, over the internet on a pay- per- use basis, rather than having these resources hosted on-premises.
BusinessIntelligence
Business intelligence (BI) represents the tools and systems that play a key part in the strategic planning process within a business. These BI systems allow a company to gather, store, access and analyse corporate data to aid in decision-making.
DataEngineering
Data Engineers are the data professionals who prepare the “big data” infrastructure to be analysed by Data Scientists.
They are software engineers who design, build, integrate data from various resources, and manage big data
Full StackEngineeringFront End & Back End
A Full Stack Engineer has expertise in the world of web, application and software development, working both client-side and server side. The role involves working with databases, servers, systems engineering, and clients. As a result they are able to work on on all parts of an application, including front end code, the back end code, as well as infrastructure.
Product Manager
A Product Manager is responsible for the success of a product. The individual works cross-functionally between those that are responsible for making a product, those who will use it and finally those within the business to ensure the product will meet everyone’s needs.
A manager will have contact with engineers, customers, external stakeholders and internal teams. This ensures that engineering teams create products customers will use/ like but also achieve business goals.
OurLocations
Our core markets are the UK, continental Europe and North America, although we are continually being approached by clients in new regions; Australia and Asia for example.
Contact Us
Natasha U'ren-Ashdown
Data Science, ML & Data Engineering
Consultant
+447825006435 nuren@chisquare-analytics.com
LatestJobs
Check out our latest job listings for exciting opportunities that match your skills and interests. Don’t miss out the chance to export new career possibilities.
A successful and growing advanced sports betting analytics and trading start-up, is looking for a Senior Sports Betting Trading Analyst to join its expanding strategy and trading team.
A growing NFT Startup is looking to hire a Mid/Senior Full Stack Engineer in the USA.
A leading independent sports betting company is looking to hire a Data Engineer with a strong background in Python and SQL to support its talented data science team.