OverviewBased in Shoreditch, Little Dot Studios is a multi-platform production company, social media agency and digital media network. We are seeking a

Senior Data Scientist

to join our Data, Tech and Product team. You will scope, prioritise, and deliver data products that require extensive knowledge in supervised learning, reinforcement learning (bandits), generative AI and experimentation. You will also write production-ready Python code and ensure deliverables have an impact on Little Dot Studios’ core KPIs. The primary focus is on developing and implementing data-driven products with AI at their core to solve complex business challenges and drive innovation.

Responsibilities

Model Development : Design, build, and optimise machine learning models from start to end with particular focus on bandit algorithms, reinforcement learning, and generative AI approaches.

Experimentation and Optimisation : Conduct A/B testing and other experiments to improve decision-making and evaluate product impact.

Generative AI Applications : Create and implement models like GANs, transformers, and other generative techniques to develop new products, enhance content generation, or improve user personalisation.

Collaborative Research : Work closely with other data scientists, analysts, engineers, and stakeholders to define and solve problems.

Data Analysis and Insights : Perform exploratory data analysis and extract actionable insights to support decision-making.

Scalability : Develop scalable and robust solutions to be deployed in production, collaborating with DevOps and data engineering.

What you need to succeedSkills matter, experience is useful, attitude is everything.

Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Statistics, Data Science, or a related field.

Proficiency in Python (OOP) with commercial experience using ML libraries such as Scikit-learn, statsmodels, Pandas, Matplotlib and NumPy.

Basic understanding of reinforcement learning, multi-armed bandit algorithms, or generative models (e.g., GANs, VAEs, diffusion models).

Foundations in probability, statistics, linear algebra, and optimisation techniques.

Hands-on experience building and deploying ML models in production environments.

Ability to translate complex technical concepts into clear recommendations for non-technical stakeholders.

Proficiency with Git and collaborative coding practices.

Preferred Skills

Strong SQL and Python skills with commercial experience in scientific computing and ML libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn).

Experience with causal inference and decision-making under uncertainty.

Experience with Airflow, Docker, REST APIs (Flask, FastAPI), GitHub, Jenkins, and CI/CD environments.

Familiarity with reinforcement learning frameworks (OpenAI Gym, RLlib, Stable-Baselines).

Knowledge of NLP techniques and large language models.

Experience with cloud computing (AWS or GCP).

Experience with MLOps tools such as MLflow and DCV.

PerksWe offer hybrid and flexi-time working, mental health and wellbeing programmes, enhanced gender-neutral parental leave, interest-free financial support and a digital nomad policy that allows work from abroad in two one-week blocks a year. Other benefits include pension contributions, annual leave, free lunches, socials and health treatments.

About UsWe are committed to fostering a diverse, inclusive, and equitable workplace. We welcome candidates of all backgrounds and identities to apply. Learn more about us, our values and commitments at www.littledotstudios.com.

Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology and Science

Industries: Online Audio and Video Media; Social Networking Platforms; Broadcast Media Production and Distribution

London, England, United Kingdom

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