Closing date for completed applications:     26th July 2019
External Interviews will be held on:               5th August 2019

To further strengthen our capability to extract value from our data assets, we have created a new post responsible for extracting meaning from and interpreting data using tools and methods from statistics, operational research and machine learning to draw insights from the data and communicate the findings to answer the business questions in a clear and easily understandable manner.  You are an experienced Data Science manager capable of leading a team of data science analysts and working closely with stakeholders to build the AI / ML roadmap that delivers demonstrable business value at pace.

You have expertise in the data science space and are able to determine what are the best machine learning techniques / algorithms that could be utilised to interrogate the data. You know how to formulate the hypothesis for answering the business question, selecting the appropriate data / features, validating and scoring the models and communicating the findings. You have worked with all data types ranging from structured to unstructured including internet of things data. You are familiar with both supervised and unsupervised machine learning algorithms and have used some of the techniques such as clustering, classification, regression, association, anomaly detection etc. You are a team player who actively contributes to the success of the entire team.

You will work collaboratively with all teams to raise the awareness on how data science capabilities can be leveraged to understand our customers better, improve processes, manage risk etc. You will actively participate in designing the models that transform raw data into actionable insights. You will use your expertise in data visualisation and storytelling to communicate your findings. 

If you believe you have the qualities we are after and are interested in working for an organisation that can really make a difference to people’s lives, then please apply without delay.

Our Commitments:

At L&Q, people are at the heart of our business and our success depends on employing the best people and getting the best from them. This is why we are committed to developing our people. It's only by investing in a well-trained and motivated workforce that we can continue to prosper and sustain business success. 

In addition to our support and training, the successful candidate will have access to our full suite of benefits including 26 days holiday rising to 31 days with length of service, annual bonus subject to group performance, excellent Pension scheme, Benenden Healthcare, an employee assistance programme and non-contributory life assurance. 

We are committed to supporting your work-life balance and recognise the changing demands and circumstances in life. Please let us know during the recruitment process if you’re interested in part time working or job sharing. In addition, should your circumstances change once you have joined L&Q, you can also request flexible working arrangements, e.g. a change to working hours - if it’s feasible then we’ll make it happen.

We are recognised externally for our commitment to inclusion. We are a Stonewall Diversity Champion, a Disability Confident (Committed) employer and have signed the Time to Change Employer Pledge to demonstrate our commitment to end mental health discrimination in the workplace.

We expect all of our employees to support our environmental policy and social responsibility work. We are an employer committed to environmental and social responsibility.