Lead Data Scientist Department for Work & Pensions
Reference
28404
Number of vacancies
2
Location
London or Sheffield
Salary
£70,102 — £83,953
Work hours
37 hours per week
Employment type
Permanent
Job benefits
A brilliant Civil Service pension with employer contributions circa 27%, generous annual leave, flexible working, great work life balance and lots more…
Closing date
10 January 2019
Job description
Are you a Delivery focused Leader in Data Science & Data & Advanced Analytics ready to drive change and excellence?
Do you have expertise in delivering service and products and driving business value?
Are you ready to be part of an epic digital transformation?
Then look no further, we’d love to hear from you!
We’re looking for two talented Lead Data Scientists to join our growing community of experts on our Data & Analytics practice and become a key part of one of the biggest and highest-profile digital transformation programmes in the world.
Using fresh ideas and leading edge technologies – and putting the user at the centre of everything we do – we create innovative digital solutions that make a difference to the lives of our 22 million users.
You and your role
We have 2 opportunities available in Sheffield and London.
Sheffield Vacancy
DWP Digital is looking for a Lead Data Scientist role to lead our Data & Analytics capability that discovers, innovates and continuously improves our Digital services.
The is team focuses on improving customer experience and productivity and is a DWP wide role.
They will lead a team that combines software skills with the latest data science techniques, in order to find and understand patterns in data that can be put into action supporting improvements in customer experience and staff productivity.
https://www.youtube.com/watch?v=1JZxN2B7apM – DWP Sheffield hub
London Vacancy
Our Risk and Intelligence Service is looking for a lead Data Scientist role to lead our Data & Analytics capability that discovers, innovates and continuously improves our Digital services. This team focuses on the ability to detect Fraud & Error.
You’ll Collaborate across F&E, Cyber-security and service design capabilities to prevent and detect Fraud, Error and Debt.
They will lead a team that combines software skills with the latest data science techniques, in order to find and understand patterns in data that can be put into action supporting fraud and error prevention and detection decisions.
https://www.youtube.com/watch?v=e9uiMggNGaw – DWP London hub
What will I be doing?
• Overseeing the quality and consistency of multiple analytics-driven initiatives each worth multiple £m :
• Building and stretching the data science, machine learning and AI capabilities by keeping up to date with the latest transferable market and industry trends, emerging technologies, delivery accelerators and sharing knowledge and experience with the relevant teams.
• Building peer and senior relationships across the business including digital, operations and policy in order to ensure teams have the tools they need to de-risk delivery.
• Building strong relationships between data science peers in DWP, other Government Departments and in industry and academia in the relevant field (e.g. digital service design, cyber security or counter fraud) encouraging innovation, reuse and avoiding duplication.
• Lead your team, applying a consistent vision, energy and drive that motivates people to meet project, programme or business expectations.
• Driving quality and impact of analytics strategies, digital solutions and outcomes, balancing the theoretical and practical aspects of technical, business, and time constraints.
• Ensuring all work adheres to key privacy, security and data protection principles, and also set procedures for ethical considerations such as unintended biases.
• Playing a key role in the leadership in the community, defining recruitment strategies, capability, and contributing to Digital Practices in DWP overall.
What skills and experience are we looking for?
Ideally you will have naturally progressed from a Data Scientist or through another analytical route like Maths or Statistics into a Senior/Leadership role.
You’ll come from a data background, and be a solutions focused evangelist. Ideally you will have expertise in dealing with credit risk, segmentation recommendation engines. You’ll also be familiar with a tech environment using R Python Machine Learning, natural language processing and also more advanced data analytics.
You will have led the customer insight function either in public or private sector and have the following skill set:
• Data Analysis & Synthesis
• Communicating Analysis and Insight
• Organisation Capability Development
Where You’ll Work
You’ll join us in your choice of our easy-to-reach digital hubs in either London or Sheffield. Find out more here: https://careers.dwp.gov.uk/our-locations/
We’re the UK’s biggest government department with over 80,000 diverse and brilliant people on our team.
We are an equal opportunity employer and we welcome applications regardless of age, gender, race or sexuality.
Our Offer
In return for your skills we offer competitive salary up to £83,953 per annum, a brilliant civil service pension with employee pension contributions worth 27%, and a generous leave package.
We also have a broad benefits package built around your work-life balance which includes:
• Flexible working and family friendly policies
• Volunteering and charitable giving
• Discounts and savings on shopping, fun days out and more
• Interest-free loans to buy a bike or a season ticket, so it’s even easier for you to get to work and start making a difference
• Sports and social activities
• You’ll be part of a brilliant data community, and take part in coaching and mentoring programmes.
HOW TO APPLY: Click apply for more info and to complete a formal application on Civil Service Jobs. If you’d like a chat first get in touch with me via tia.nicholas@dwp.gov.uk
Watch Corinne our Lead Data Engineer share our vision and talk about the value of data, how it improves lives and what makes a great candidate, in our recent webinar on data recruitment: