Data Manager

Birmingham
1 week ago
Applications closed

Related Jobs

View all jobs

Master Data Manager

Information Manager (18 Months Fixed Term)

Information and Data Governance Lead

Data Science Manager - Insurance (Propensity models)

Data Science Manager

Data & Analytics Manager

Data Manager

When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed.

We are a registered charity and exist to stop the needless loss and devastation caused by accidents, as we strive for our vision of Life, free from serious accidental injury.

We are looking for a Data Manager to join RoSPA to support our journey to become increasingly data centric on an 18-month fixed-term contract.
This will be a pivotal role in a business as we embark on a route that will change all our current systems and processes. The responsibilities of the role will include formulating techniques to ensure the quality, adequacy, accuracy, and legitimacy of data, and overseeing the organisation, storage, development, use and reporting from data systems.

So, are you …?

  • Experienced in creating and enforcing data strategies and policies, and implementing procedures for secure and efficient handling of data?

  • Knowledgeable in data compliance and governance?

  • Proficient in evaluating the performance of data processes and systems, striving for continuous improvement?

  • Skilled in using BI tools and assisting with the production of reports?

  • Practiced in supporting internal customers in the use of our information systems and reporting tools, and explaining complex topics in a simple, straightforward way to non-technical users?

  • Adept at analysing data and explore it for insights, and creating dashboards and reports that effectively communicate insights to stakeholders?

  • An excellent communicator with a friendly and professional approach?

    Do you have …?

  • A BSc in Data Analytics, Data Science, Statistics or equivalent?

  • Proven working experience as a Data Manager, Business Data Analyst or similar role?

  • Experience of managing data in Microsoft Dynamics and cloud environments?

  • The ability to clearly convey findings, both written and orally, to non-technical stakeholders?

  • Great attention to detail and strong problem-solving skills, delivering solutions to business problems using a data-driven approach?

  • Technical expertise regarding data models, database design and segmentation techniques?

    If so, we can offer you:

  • An opportunity to gain valuable work experience with a leading name in the safety sector, enjoying an unrivalled reach and reputation.

  • The opportunity to join a supportive, friendly and committed team, and to contribute to a life-changing charitable mission.

  • A flexible hybrid working pattern, combining homeworking with office-based days.

  • A salary sacrifice pension scheme, Health Cash Plan, GP Line and 25 days’ leave (plus bank holidays and service days)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.