Senior Data Science Engineer

National Geographic; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

National Geographic is looking for a Senior Data Science Engineer to lead projects in the Trading Intelligence Team. This role involves developing statistical models and collaborating across teams to enhance decision-making through data science.

The candidate should have a Bachelor's degree in a relevant field and proven experience in data science, strong machine learning foundations, and proficiency in Python or R. Knowledge of Kubernetes and Kafka is desirable.

Qualifications

• Proven experience in data science with machine learning expertise.
• Proficient in Python or R for data manipulation and visualization.
• Excellent problem-solving and collaborative skills.

Responsibilities

• Lead data science projects from conception to deployment.
• Develop statistical models and machine learning algorithms.
• Collaborate to integrate data science solutions into production.

Skills

Data science experience

Machine learning

Statistical modeling

Python programming

R programming

Problem-solving skills

Team collaboration

Education

Bachelor's degree in Computer Science, Statistics, or Mathematics

Tools

Kubernetes

Kafka

Databricks

Job description

Senior Data Science Engineer – Trading Intelligence Team

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities.

Responsibilities

• Lead data science projects from conception to deployment, ensuring high‑quality and timely delivery.
• Develop and implement statistical models and machine learning algorithms to solve complex business problems.
• Collaborate with cross‑functional teams to integrate data science solutions into production systems.
• Mentor junior data scientists and provide guidance on best practices and methodologies.
• Communicate technical findings and insights to internal stakeholders to support data‑driven decision‑making.
• Assist with the adoption of data‑driven strategies into the trading processes.
• Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives.

Qualifications

• Proven experience in data science, with a strong foundation in machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.
• Demonstrated ability to break down complex problems into manageable tasks and deliver high‑quality results.
• Excellent problem‑solving skills and the ability to work collaboratively in a team environment.
• Experience in developing and implementing automated trading or decision‑making systems (highly desirable).
• Experience with Kubernetes and Kafka (desirable).
• Experience with Databricks (desirable).
• Experience with experimentation (desirable).
• A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.