Senior Data Scientist

At a glance

This is a hybrid working role, therefore your time will primarily be split between working from home and the London/ Head Office. However, there will also be an expectation to visit other locations as the need arises. 

Our team currently works from the office once a week to connect and on a more ad-hoc basis to attend key meetings, but again the frequency is dependent on the business needs. 

Expected Salary - £49,500 - £74,000

Contract type  - Permanent

About the Role

As a Partner in our business your number one focus is to work collaboratively to create more value for our customers and our business.

The core of this role is to help the Partnership make insight-driven, better informed, customer-centric decisions. In order to do this, you will need to work closely with teams across the Partnership, getting close to their world, hearing their problems and spotting the opportunities to make improvements. You will use your analytical mindset and knowledge of the customer to improve the speed and quality of decision making.

The Data Science team is spread across a number of business domains that extends, for example, from typical business trading problems, to optimising supply chains and creating product recommendations for our websites. We are looking for Partners that are passionate about solving business problems that extend far and wide across consumer facing touchpoints that drive real impact in day to day situations.

What you will do

You will be a proactive person who is able to work effectively together with a range of stakeholders to improve business decision making using data science methods. We expect you to be able to trade off model complexity against relative rewards to drive improvement in your designated domain. Creativity is encouraged. If you feel we could do something differently and can prove this then we are sure that you will delight your stakeholders.

Day to day, you will:

• Analyse and link complex data sets so that they can support actionable insight and recommendations.

• Transform data and build models to optimise customer experience, revenue generation, cost reduction and other business outcomes.

• Be enthusiastic about statistics and machine learning and be able to convey a thorough understanding of the benefits and use cases of these across the organisation to a variety of audiences.

• Design and develop end-to-end solutions to business problems, from defining the problem, through solution development, to implementation and driving business adoption.

• Communicate your solutions, however complex they may be, in a clear, concise and understandable way.

• Collaborate with a wide range of stakeholders and internal teams to understand the Partnership’s key priorities and ensure that our work aligns to these.

• Ensure that all work complies with the General Data Protection Regulation (GDPR) and adhere to all Partnership risk management and data privacy and security policies.

• Advise and mentor others in the wider data and insight community on the use cases of data science, acting as an expert within the team.

What you’ll have (Essential Skills)

• Experience with statistics and machine learning techniques applied to business problems.

• Good communication skills, with proven ability to work across functional teams to design technical solutions to business problems.

• Experienced user of Python alongside relevant packages and libraries.

• Good SQL skills.

• Highly analytical mindset with problem solving attitude.

What else you could bring (Desirable Skills)

• Experience in retail, marketing and e-commerce.

• Experience working in Agile teams and applying Agile methodologies.

• Experience with Cloud technologies.

• Experience with the implementation of end-to-end Machine Learning solutions, software engineering best practices, and ML Ops.

• Experience with Git version control.

• Comfortable working with command-line tools.

Next Steps

• The application form consists of a CV upload, followed by application questions. Please save the application questions to a Google docs before entering on Workday.

• Internal applicants please copy paste this link on to the browser for job outline - https://bit.ly/SrDS 

• Once you've submitted an application the next steps of the process, if successful, will include a 30 minutes brief interview, followed by a technical assessment and a formal Interview. Interviews will be virtual.

• You'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. 

• We occasionally close vacancies early in the event that we receive a high volume of applications. Therefore we recommend you apply as soon as possible.