Data Scientist, Cognism
Large Language Models
International sales intelligence platform
Open for applications
International sales intelligence platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To drive the next evolution of sales and marketing technology.
Role
Who you are
- Professional Experience – 3+ years in a data science role, with a strong track record of delivering impactful, production-ready solutions on Large Language Models (e.g., multi-agent systems, evaluation frameworks on LLMs models, distillation, small model fine-tuning, knowledge extraction)
- Technical Expertise – Proficient in Python, Spark, and machine learning frameworks; strong understanding of statistical modeling and big data processing
- Cloud Proficiency – Experience with AWS tools such as S3, SageMaker Studio, Glue Jobs, and Athena is highly desirable
- Educational Background – PhD preferred in Data Science, NLP, Information Retrieval, Mathematics, or Statistics. A Master’s degree with significant experience will also be considered
- Problem-Solving Ability – Strong analytical mindset with the ability to design practical, scalable solutions to complex problems
- Communication Skills – Comfortable explaining technical concepts to non-technical stakeholders and influencing decisions through data insights
- Collaborative Approach – Proven ability to work effectively in cross-functional teams and agile environments
- Publications - in IR related conferences (e.g., EMNLP, ACL, NAACL, EACL, LREC)
What the job involves
- As a Data Scientist, you will design and implement advanced models, drive innovation through machine learning and AI, and mentor team members. In this high-impact role, your work will directly shape Cognism’s data-driven products and business strategies
- Develop Advanced Models – Build and maintain sophisticated statistical and machine learning models that drive business decisions and integrate with enterprise systems
- Lead Innovation – Design and pilot cutting-edge predictive models and algorithms, testing scalability and implementing successful approaches into production environments
- Own Projects End-to-End – Scope, design, implement, and evaluate data science solutions independently, while keeping stakeholders aligned on progress and results
- Drive Business Value – Collaborate with cross-functional teams to identify opportunities where data science can make a measurable impact on customer experience or operational efficiency
- Mentor Team Members – Support and guide junior data scientists by sharing best practices, providing feedback, and contributing to an inclusive, knowledge-sharing culture
- Shape Data Strategy – Work closely with the Data Science Manager to prioritize projects and align outputs with strategic goals
- OUR TECH STACK
- Python & PySpark – Build, test, and deploy machine learning pipelines using scalable data processing tools
- AWS Ecosystem – Leverage services like SageMaker, S3, Glue, and Athena for data engineering and ML model deployment
- ML Frameworks – Work with tools such as scikit-learn, TensorFlow, or similar libraries to experiment and optimize models
- Version Control – Use Git and CI/CD tools to manage code and streamline development workflows
- Data Visualization – Communicate findings with clarity using tools like matplotlib, seaborn, or business-friendly dashboards
- SQL & Big Data – Write efficient queries to extract insights from large, complex data sets
Salary benchmarks
Our take
Cognism is a lead generation platform that provides clients with a SaaS solution that facilitates prospecting and improves conversions. According to Cognism, over 1.800 international businesses use its solution to drive new revenue, across industries such as marketing, HR, and technology.
The company differentiates itself through patented AI technology that delivers various data about leads to clients, helping them streamline the prospecting process. For example, Cognism provides clients with real-time company and people data and their AI technology identifies new business opportunities. Moreover, the solution easily integrates with all major CRM systems, which facilitates targeted communication strategies.
It also differentiates itself through its dedication to building a leading GDPR-compliant prospecting solution. The company's substantial funding has been primarily invested in international expansion across Europe, strengthening its position in the US, and improving its regulatory expertise in order to set the standard for data compliance.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Jan 2022
$87.5m
SERIES C
Mar 2021
$12.5m
LATE VC
Total funding: $129m
Company benefits
- Generous Annual Leave/ Paid Time Off (PTO)
- A day off for your Birthday!
- Great Maternity and Paternity packages
- Monthly Wellbeing Allowance
- Access to Spill – our slack integrated Wellbeing Service
Company HQ
Vauxhall, London, UK
Leadership
James Isilay
(CEO)Studied Information Systems Engineering at Imperial College London. Previously worked for 7 years at UBS Investment Bank, holding various positions such as Quantitative Developer, FX Derivatives IT Developer and Junior Exotic Options Trader.
Stjepan Buljat
(CIO)Previously worked for 10 years at ETNA, holding various positions such as IT Architect, R&D Team Leader and Product Development Manager.
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