Senior Data Scientist

AWTG Ltd; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

AWTG Ltd is seeking a Senior Data Scientist to lead the development of advanced analytical and ML solutions, guiding a team across data, AI, software engineering, product delivery to create practical outcomes for clients and end users.

You will drive technical delivery, stakeholder collaboration and product-minded thinking, ensuring outputs are robust, ethical and useful in production settings.

Qualifications

• Experience delivering data science solutions in production environments.
• Proficiency in Python/R and ML libraries.
• Experience with model validation and reproducible code.
• Ability to translate opportunities into delivery plans.
• Strong communication of outputs and trade-offs.
• Understanding of data ethics and responsible model use.

Responsibilities

• Lead design, development, validation and deployment support of data science models and analytical products.
• Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate.
• Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation.
• Work with data engineers and software teams to make outputs scalable, maintainable and usable.
• Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams.
• Promote responsible AI, data ethics, privacy and model governance within projects.

Skills

Python

R

Machine learning

Data visualization

Communication

Ethics and governance

Education

Bachelor's or higher in Computer Science/Statistics/Data Science

Tools

scikit-learn

TensorFlow/PyTorch

MLflow

Job description

Role overview

The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.

Key responsibilities

• Lead the design, development, validation and deployment support of data science models and analytical products.
• Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate.
• Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation.
• Work with data engineers and software teams to make data science outputs scalable, maintainable and usable.
• Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams.
• Promote responsible AI, data ethics, privacy and model governance within projects.

Essential Skills And Experience

• Strong experience delivering data science solutions in production-oriented or client delivery environments.
• Strong Python/R skills and practical knowledge of machine learning libraries and analytical tooling.
• Experience with model validation, performance assessment, reproducible coding and testing approaches.
• Ability to scope data science opportunities and translate them into achievable delivery plans.
• Strong communication skills, including explaining model outputs, assumptions and trade-offs.
• Good understanding of data engineering, data quality, privacy, ethics and responsible model use.

Desirable Skills And Experience

• Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products.
• Experience mentoring data scientists or setting technical standards within a team.
• Experience working in consultancy, public sector, regulated or enterprise delivery.

What success looks like

• Data science solutions are technically sound, useful and ready for operational use.
• Model risks, assumptions and limitations are transparent and well managed.
• Teams are supported to apply data science methods responsibly and effectively.