Associate Data Scientist

Leeds, West Yorkshire
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DWP. Digital with purpose.

Do you want to kickstart your career as a data scientist?
Could you use Python, R & SQL to develop innovative data-driven solutions to complex problems?
Do you want to help us create cutting-edge, data-driven solutions that will help millions of DWP users?

DWP Digital is transforming the way government services work. We're hiring the best digital talent to work in agile, multidisciplinary teams to make our services easier to find, access and use.

We want a talented Associate Data Scientist like you to deliver innovative, data-driven solutions.

You'll be working within a high-performing team of data scientists, collaborating on projects across our Universal Credit team, to identify, analyse and create solutions for complex problems and maintain essential digital services.

It's a brilliant place to grow your skills and build your career, supported by a community of practice that is full of supportive, experienced data practitioners.

You'll have access to learning and support that works for you - book budgets, mentoring, formal training and certifications, networking and lots more.

Data with Potential.

You'll start your role as an Associate Data Scientist as part of our Universal Credit (UC) team - you'll be using and testing your skills and experience on projects and problems that affect millions of people.

UC Data Scientists are part of multidisciplinary development teams that design and deliver new data-driven features for the Universal Credit digital service.

You'll get exposure to advanced analytics (e.g. machine learning, network analytics, natural language processing, etc.), and coding using SQL and Python.

You'll be using software development best practice to create re-useable and extensible codebases.

Your essential skills and experience:

You have an academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related experience
You have hands-on experience using data science to solve problems or improve established processes
You have stakeholder management skills, and experience working with colleagues to understand their requirements and deliver analytical projects in a timely manner
You can communicate results to a range of audiences, translating technical concepts into non-technical language where necessary
Understanding of a range of data science techniques and the ability to apply these to practical situations
You can explore, combine and transform data from across disparate sources
Experience writing code in R, Python or SQL.

Details. Wages. Perks.

You'll be based in your choice of one of our brilliant digital hubs in either London or Leeds, whichever is most convenient for you.

We also have all the tools and tech to work flexibly. We operate a hybrid working model with some time and home and some time in the office.

We offer pay up to £44,021. And you'll be eligible for a brilliant civil service pension with employer contributions of over 28.97%.

You'll get a generous leave package starting at 26 days, rising to 31 over time.

Plus, all the usual bank holidays, and the option to take up to 3 extra days off a month on flexi leave.

We have a benefits package built around your work-life balance, which includes:

Flexible working, flexi hours and flexi days
Hybrid working: some time in a hub with the team, some time at home
Family-friendly policies
Time off for volunteering and charitable giving
Bring your authentic self to work with 'I Can Be Me in DWP'
Discounts and savings on shopping, fun days out and more
Interest-free loans to buy a bike or a season ticket
Working in an award-winning environment and culture
Professional development, coaching, mentoring and career progression opportunities

Click 'Apply' for more information and to start an application on Civil Service Jobs

Job Info
CV-Library logo
Job Title:
Associate Data Scientist
Company:
CV-Library
Location:
Leeds, West Yorkshire
Salary:
£35711 - £44021 Per annum
Posted:
Aug 31st 2024
Closes:
Oct 1st 2024
Sector:
IT
Contract:
Permanent
Hours:
Full Time
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