Senior Data Scientist

Full Time Contractor

Remote, EMEA

Summary

This is a full-time placement with significant opportunities for innovation, growth, and professional advancement in the data science field. The ideal candidate will become part of an international team passionate about cutting-edge technology, innovative solutions, and knowledge exchange.

Technical Requirements:

●       To be a great fit with the L247 company values.

●       At least 6 years of experience in a machine learning-related role or background.

●       Experience in training classical machine learning models or transformers, such as Support Vector Machines (SVM), Random Forest or BERT, trained using the Gold Standard.

●       Proven experience implementing, deploying, and maintaining machine learning pipelines.

●       Strong proficiency in Python is required.

●       Strong track record in applying machine learning techniques, especially on imbalanced datasets.

●       Hands-on experience with ML applications in sentiment analysis and topic modelling.

●       Familiarity with modern ML/DL/NLP libraries and frameworks: Scikit-learn, PyTorch, TensorFlow, NLTK, spaCy, Transformers, Dash, etc.

●       Knowledge of NLP techniques and state-of-the-art models such as BERT, DistilBERT, and other transformer-based architectures.

●       Knowledge of Supervised Fine-Tuning (SFT) or Reinforcement Learning (RL) for large language models.

●       Experience in fine-tuning or reinforcement learning is strongly preferred.

●       Comfortable working with cloud infrastructure e.g. AWS and Google Cloud.

●       Solid understanding of data workflows, including structured and unstructured data collection, cleaning, and transformation.

●       At least a Bachelor’s degree in a quantitative field such as Computer Science, Machine Learning, Computer Vision, Applied Mathematics, or Engineering.

●       Background in digital image processing or computer vision will be considered an advantage.

●       Proficiency in C/C++, Java will be considered an advantage.

●       Experience working with speech-to-text (S2T) technologies will be considered an

advantage.

●       Prior experience in scalable deployment solutions will be considered an advantage.

.

Leadership Requirements:

●       Strong organisational and time-management skills within an agile development environment.

●       Demonstrated ability to solve complex technical problems in fast-paced, dynamic settings with limited oversight.

●       Provide technical leadership to the Data Science team, guiding project direction, architecture decisions, and best practices.

●       Mentor and support team members, fostering a culture of continuous learning and collaboration.

●       Act as the lead on key ML initiatives, owning end-to-end project delivery from problem definition to production deployment.

●       Collaborate cross-functionally with engineering, product, and business stakeholders to align ML efforts with strategic goals.

Roles and Responsibilities:

●       Design, implement, and evaluate machine learning models and software prototypes across text and image modalities.

●       Train, validate, and systematically test algorithms on large-scale, real-world text and image datasets.

●       Develop and integrate sentiment, semantic, and topic analysis models to meet defined accuracy and performance benchmarks.

●       Build and maintain automated data pipelines for gathering, cleaning, and curating high-quality training datasets.

●       Collaborate closely with software engineers and researchers to deliver applied solutions in areas such as sentiment detection, emotion analysis, topic extraction, social propagation, and influence modelling.

●       Arrange seamless integration of validated algorithms with internal platforms and external data systems.

●       Maintain active collaboration and knowledge exchange with external partners and research collaborators.

●       Document model performance, system behaviour, and incorporate user and stakeholder feedback into iterative improvements.

●       Ensure models are robust, explainable, and maintainable across deployment environments.

●       Contribute to Agile planning, code reviews, and continuous integration workflows.

●       Perform other assigned tasks in support of team goals and project delivery.

Benefits:

●       The successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about technology and innovation

●       Flat structure, no bureaucracy and lots of autonomy

●       Monthly fee based on experience, quarterly bonus based on performance

●       Working from home

●       21 days paid vacation

Please send your CV to recruitment@listening247.com

The Company

Specialising in the use of AI for customer insights, L247 develops proprietary technology that transforms unstructured data from any source and in any language into accurate, timely, and actionable intelligence and marketing content. Our solutions support advanced social listening, consumer sentiment analysis, and automated content generation, helping clients make data-driven decisions at scale. We also enable automated creation, targeting, and optimisation of ads and social media posts, allowing businesses to reach and engage their audiences more effectively.

L247 has presence in numerous countries and works with blue-chip multinationals in the FMCG, financial services, market research and other sectors globally.

L247 is committed to equal opportunity and does not discriminate against any individual on the basis of age, disability, gender (including gender reassignment), race, nationality, religion or belief, sexual orientation, or marital status, whether in employment or in establishing business relationships, including with clients and partners.