Senior Data Scientist in London

Expert knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making.

A proven track record of leading data science projects and teams, as well as a strong background in AI research and applied machine learning.

Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design.

Job Responsibilities

• Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms.
• Develops and tests hypotheses, analyses and interprets the results of product experiments.
• Communicates data-driven insights and delivers action plans that steer business strategy and decision-making for business segments.
• Works with client teams to translate prototypes into new products, services, and features and provides guidelines for large-scale implementations.
• Provides input and guidance on data visualisation techniques and opportunities.

Department/Project Description

We are seeking a team player who thrives in collaborative environments, shows integrity, and constantly seeks innovative solutions to drive meaningful change. As a collaborative individual, you excel in working with diverse teams, leveraging the unique strengths of each member to achieve shared goals. Integrity guides your actions and decisions. You prioritise honesty, ethics, and accountability in all aspects of your work, fostering trust and reliability among colleagues and stakeholders alike. Your innovative mindset drives you to continuously explore new possibilities and push boundaries to achieve excellence.

Company Benefits

• Competitive pension scheme to help later on in life and private medical insurance & a Health Cash Plan to call upon when needed.
• Annual Volunteering Days to work with a charity of your choice as we appreciate you may wish to give something back to the community.
• Reward & Recognition - Reward Gateway access to acknowledge when you're doing a great job.
• Holidays - Not just 25 days plus public holidays, you can also buy up to an extra five days to make sure you address that much needed work-life balance.
• Family First - Enhanced family friendly policies and access to on-line shopping discounts platform as we appreciate the other roles you may have in life.
• Health and Wellbeing - From free massages and annual health checks to subsidised gym membership and cycle to work schemes. Frequent Mental Health awareness days and access to a 24/7 EAP, as your welfare is important to us.
• Personal Development - Your personal development is key to us and we make sure you get time to invest in your own personal learning and career progression supported by our generous training budget.
• The Extras - Great coffee, fruit and snacks with beer and wine in the fridge and unforgettable social events, BBQ's and Christmas parties.

Interview Process

• Recruiter Screening - Alex Dawson
• Technical Interview - Lead Data Scientist
• Hiring Manager Interview - Head of Data and Capability Lead

We aim to act within 48 hour feedback on each stage.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology and Engineering

Industries: IT Services and IT Consulting