Data Science and Innovation Manager

Thirteen
Middlesbrough
2 months ago
Applications closed

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Join us as a Data Science and Innovation Manager at Thirteen Group!


Role Overview:

Are you a data evangelist, with expertise in unlocking innovation using data?

Thirteen Group is on the lookout for a Data Science and Innovation Manager tojoin our Transformation and Data team. You’ll have a key role in our transformation programme by embedding data innovation and insight across Thirteen to enhance services and customer outcomes.

This is a hybrid role, so you’ll work from both home and at least 2-3 days a week from our fantastic office at Hudson Quay in Middlesbrough. We’ll need you to be flexible around business and team need, so you may need to come into the office more frequently when required


Thirteen Benefits:

  • Salary £60,301 per annum
  • Annual leave starting at 28 days and rising to 31 days after three years, a day off for your birthday, plus bank holidays.
  • Pension up to 17% contributions (flexible contribution rates of up to 7% colleague and up to 10% employer).
  • Simply Health save money on common health expenses and get access to health and wellbeing support services.
  • T’dar our Discount and Reward platform giving you huge savings on everyday brands.
  • Opportunities to buy and sell annual leave


Key Responsibilities:

  • Lead a forward-thinking data innovation function, driving the development of BI, AI and machine learning solutions. You’ll deliver scalable solutions that strengthen digital capability and enhance insights.
  • Oversee the creation and rollout of BI dashboards, reporting suites, and advanced models, that empower greater decision making at every level.
  • Inspire and manage a team of three data specialists (two BI/AI Developers and one Data Analyst). As a team, you’ll transform complex data into actionable insights, dashboards and predictive analytics.
  • Advocate for the adoption of advanced analytics and AI solutions to improve forecasting, enhance efficiency and ensure better customer outcomes.
  • Embed a true data partnering approach, collaborating with operational teams and transformation programmes to unlock data-driven solutions
  • Keep us ahead of the curve by providing oversight of GIS capabilities and ensure we remain a leader in our sector.


About You:

  • Passionate about all things data, you’ll have experience embedding advanced analytics and automation into business processes.
  • Comprehensive knowledge of BI, analytics, GIS and AI/ML methods and tools, such as Power BI, Python, R, or Azure ML.
  • Ideally, you’ll have experience managing BI, data science, or analytics teams and prioritising multi-stream work, but we’d welcome applications from candidates ready to take the next step in their career.
  • Experienced in data visualisation, predictive modelling, and applied AI.
  • Skilled in building relationships and influencing across all levels to encourage teams to embrace and embed data-driven decision-making.


Why Thirteen Group?

We’re more than just a housing association we’re a community builder. As the largest housing association in the North East and among the top 25 nationally, we manage over 36,000 properties.

- Join a team that’s local at heart but welcomes talent from everywhere.

- Be part of an organisation that values diversity and inclusivity.

- Be a part of a company that offers tailored support services, going beyond just housing solutions.


Interested?

For more details, please refer to the attached documents.

If you have any questions, please contact Anna Bainbridge, Transformation and Data Services Director by emailing .

NO RECRUITMENT AGENCIES, please.


Are You Ready for a Rewarding Challenge?

Join us at Thirteen Group and be a part of our vision to improve lives every day. APPLY NOW and start your journey towards making a meaningful impact in our community!

As part of our hiring process, if you’re successful we’ll need to verify your right to work in the UK. Unfortunately, we are not a Skilled Worker Sponsoring Employer at this time.

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