Join an organisation full of experts in AI, predictive and prescriptive analytics. Work on solutions for their diverse client pool, in use across many FTSE 100 and Fortune 500 organisations, supporting optimised and automated decision-making.

All potential candidates should read through the following details of this job with care before making an application.As a Senior Data Scientist, you will be at the heart of agile projects. You will understand the requirements for the solution and align data engineering, data science and front-end teams to deliver this. Solutions created are centred on advanced machine learning modelling, so data science touches every aspect of the solution.The RoleOutside of occasional client site travel, you will have the freedom to work remotely, or in their office in London, should that suit you more. You will be working with the organisation’s client’s technical teams and colleagues on the following activities:Running client workshops to understand pain points and requirements for solutionsAligning solution architecture requirements with client’s technical teamsCreating data pipelines to ingest and transform data and host it ready for connecting to a front-endCreating model pipelines for training ML models and hosting these on the client’s cloud platform with performance monitoringIntegrating a front-end with the transformed data and ML models and running structured tests to ensure quality for end usersWorking with end users and front-end developers to customise Python or Power BI front-ends based on feedback and requirementsIdentifying client pain points outside of what is already being delivered, developing ideas for how they can solve that pain point and working on the technical development of greenfield solutions to MVP demonstrationsTechnical Skills:PythonRequired: Proficient in pandas, numpy and sklearn.Desired: Professional experience with Databricks, PySpark, Cloud deployment, CI/CD and Git.Required: Proficient in creating E2E pipelines to train ML models including EDA, Feature Engineering, Model Selection, Parameter Optimisation and applying ML models to support end-user decision-making. Application of ML models to front-end solutions used for business decision-making.Desired: Strong statistics experience, and the ability to explain statistical concepts to business audiences. Experience with Bayesian modelling, including Bayesian Inference, Bayesian Networks, Markov Decision Processes, Gaussian Processes or similar modelling.Required: Ability to turn data into action through simple and compelling visualisations.Desired: Experience with front-end or web application development.Soft Skills:Simplicity

– to scale a solution across a global company, it needs to be easy for end users to understand, and it needs to be quick for us to deploy. You should understand when a feature or story adds value for end users and when it is just adding complexity.Efficiency

– Work with project teams that are small but super-efficient. They are big on agile ways of working, but beyond backlogs and scrums, are also big on dedicated non-meeting time for you to do what you do best. You should be happy getting your head down for a few hours at a time and have great progress to show for it.Passion

– when you love what you do, you will do a great job. Not every day will be stand-out, but you are passionate about making a great product for the end users of solutions, and passionate about making companies more efficient and sustainable.Curiosity

– the more you understand about what the aim is on a project and why, the better the solution will perform. You should be curious about what end users’ problems are, how to solve that problem and how to make offerings even better (more impactful, more scalable, easier to use).Communication

– it doesn’t matter how advanced or accurate a solution is if no one understands it. Clear, concise and engaging communications skills, and the ability to distil and translate complex concepts into simple and actionable insights for stakeholders and end users is a key skill.Team Player

– Everyone has unique skills and strengths as well as different responsibilities in delivering a project, but one can only move as quickly as the slowest part of the project. When the project needs ‘all hands on deck’ to test a solution before launch, or if a Business Consultant needs help to pass a project gate, you should be ready to get stuck in.You must have the right to work in the UK to be successful for this position.Company:

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