Trusted by over 5,000 customers worldwide, Corsearch delivers AI-powered data, deep analytics, and professional services that support brands to market their assets, drive growth, and optimise brand presence against infringement. 

Corsearch enables brand owners to discover, monitor and control the use and misuse of their brands and associated products and services online and is the industry market leader. 

Corsearch does this in an increasingly complex global digital environment, with online brand protection solutions that cover everything from anti-counterfeiting to anti-piracy.

Do you get excited when hearing about trademarks and brand protection news? YES?! So do we! At Corsearch, there’s no pushing trademark solutions and brand protection from our thoughts. We’re thinking about coined trademarks in the car, a detailed design search over lunch, counterfeits while sitting with the in-laws, and anti-piracy while working out

We are a mission-led company, driven by a passion for making the world better and safer for our brand customers and their consumers. It’s what we do. And people come to Corsearch to be challenged, developed, supported, and valued

✅The Role

AI team is responsible for researching, designing, implementing and optimizing cutting edge data science solutions in fields like image tech, NLP or fraud.

We’re looking at different methodologies/models and validate them to find the most promising solution to our actual problems. 

As a data scientist - working in the AI team - you will be involved in projects of different products lines/business area. 

As fraud data scientist you’ll be responsible to create end to end pipeline of data collection, signature extraction, feature creation and modeling. As fraud networks can adopt quickly we are dealing heavily with concept drift, continuous model training and continuous feature engineering is a key to success.

✅Responsibilities and Duties

• Research and implement fraud detection pipelines in anti-piracy and brand protection domain
• Create prototypes demonstrating concepts/results to business in an easy to understand format
• Work closely with subject matter experts to validate results and share knowledge about the used methodology
• Try different SOTA architectures and models to achieve best performance both in processing speed and accuracy
• Take care of the continuously increasing training/test datasets, verify consistency, offer solution for revisiting labeling issues
• Implement solution based on continuous training principle as fraud behavior is rapidly changing
• Think creatively about the implemented solutions, advise new features or tools, innovate
• Collaborate with other Data Scientists to share knowledge and continuously improve other non-fraud related solutions
• Take part in other machine learning projects utilizing your experiments and general understanding of fraud detection principles

✅Essential

• MSc or Bachelor degree in Computer Science, Mathematics, Artificial Intelligence or related field
• Minimum 3 years relevant industry experience in researching/building data science applications
• Proficient programming skills in a high-level DS languages (python, R), R shiny experience for prototyping is a plus
• Experience with working in cloud architectures (AWS, GCP, Kaggle, etc. )
• Broader knowledge of large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures)
• Knowledge of relational databases, noSQL, memory database technologies, graph processing (Elastic Search, MongoDB, Redis)
• Experience with GPU backed modeling/inference

Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.