Senior Data Scientist
- Research, prototype, and deploy solutions leveraging Generative AI technologies (e.g., LLMs, Agents, Embeddings) for applications such as content generation, audience segmentation, and insight enablement.
- Stay ahead of advancements in GenAI and champion their application to drive innovation in journalism and advertising.
- Build end-to-end pipelines to deploy AI models into production, ensuring scalability, monitoring, and performance.
- Develop modular and reproducible code with production-grade quality, focusing on MLOps best practices.
- Collaborate with ML Engineers to optimise model deployment on distributed or cloud platforms like Google Cloud.
- Design and prototype robust machine learning models and statistical algorithms to address key business problems.
- Partner with stakeholders to deliver impactful solutions and evangelise insights through compelling storytelling.
- Ensure data integrity through validation, governance, and transparency.
- Create visualisations and dashboards to demonstrate the efficacy of solutions.
- Work closely with interdisciplinary teams, including PMs, business owners, and operational teams, to align AI solutions with business needs.
- Continuously learn and experiment with new techniques, especially in Generative AI, to stay ahead in the field.
- Work closely with domain experts to evaluate efficacy of Ai solutions and ML models for further refinement.
- Minimum 3+ years of working experience as a hands-on data scientist is must; ideally in B2C digital products
- Advanced Degree in the field of Computer Science, Statistics, Mathematics, Data Science, an equivalent discipline or equivalent professional experience
- Strong programming experience with Python
- Great analytical and problem solving skills, with a strong bias for quality and engineering excellence
- Prior demonstrable experience with Machine Learning, GenAI and Experiment design.
- Experience with efficiently querying big datasets using SQL
- Experience or willingness to learn tools to create data pipelines using Airflow or similar solutions and an understanding of data processing best practices.
- Experience with data visualisation and dashboarding
- Able to recognise business needs and ability to communicate with multiple stakeholders including PMs, business owners and operational teams
- Able to work independently and collaboratively in an interdisciplinary team environment
- Experience working with Agile methodologies (SCRUM) and using Lean development principles
- Experience in working with Cloud Native patterns, ideally on GCP
- Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks
- Wide range of training available, plus full LinkedIn Learning access
- Private medical insurance including coverage for pre-existing conditions
- Discounted gym memberships , free ClassPass at Home, weekly virtual yoga classes
- 'Bikes for Work' and 'Electric Car' scheme
- Up to 60% discount on Harper Collins books
- Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities
- Access to wellbeing benefits such as EAP, physio/massage and counselling
- A generous pension scheme with employer contributions of up to 5%
- 25 days holiday , plus bank holidays and up to 4 volunteering days per year
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