HR Business Partner

Milton Keynes
2 months ago
Applications closed

Related Jobs

View all jobs

HR Business Partner

HR Business Partner (Portland)

Finance Business Partner

HR Business Intelligence Analyst

HR Business Process Lead – SAP SuccessFactors Implementation

HR Business Intelligence Analyst

Our client is looking to recruit an experience HR Business Partner to join their team.

The role requires an experienced HR generalist with proven experience and skills and is ideal for a professional with strong experience in payroll, pensions, ER cases and is also adept at running investigations.

The successful candidate will operate in a generalist HR environment, providing expert support to the business and the HR team, ensuring smooth and effective HR operations across the organisation. The successful candidate will have the ability to build effective working relationships with colleagues, demonstrate good communication and demonstrate a range of generalist HR knowledge and experience with up-to-date knowledge of employment legislation.

Key Responsibilities

  • Support the full employee lifecycle, from recruitment and onboarding to performance management and offboarding

  • Processing monthly payroll and pensions and working with the finance team to ensure that this is completed effectively every month.

  • Collaborate with finance and payroll providers to ensure timely salary payments and correct deductions (e.g., tax, pension contributions, benefits).

  • Advising managers on recruitment and selection strategies

  • Support with the implementation and delivery of the People Strategy and plan

  • Monitoring key recruitment metrics, such as turnover and retention rate

  • Address day to day HR issues as they arise

  • Maintain accurate and confidential HR records and databases

  • Providing advice and playing a major role in work reviews and change processes

  • Using HR information systems and analytics tools to generate reports and insights on key HR metrics (e.g., turnover, absence rates, employee engagement)

    Managing staff relationships, responding to any queries or problems that they have and managing their expectations

  • Monitoring, reviewing and updating all HR policies and ensuring these are in line with current legislation

  • Supporting the HR team with various capability investigations, including grievance and disciplinary. This will include conducting thorough and impartial investigations into employee relations issues, ensuring alignment with best practice and legal requirements, maintaining confidentiality and fairness.

  • Support managers to reduce sickness absence through active management of long- and short-term sickness cases.

  • Driving the business performance in relation to the organisation’s objectives

  • HR Projects: Support on a range of projects, such, Engagement, Wellness, D&I initiatives.

  • Acting as the point of contact for hiring managers, employees and other HR team members

  • Promote a culture of diversity, inclusion, and employee well-being within the organisation.

    Requirements

  • Analytical mindset with experience in HR reporting and data analytics

  • Level 5 CIPD

  • Minimum 4 years within a generalist role

  • Solid evidenced experience in the application of company policies and procedures and HR best practice.

  • The courage to challenge or influence to allow the right decisions to be made

  • Proven experience in handling complex Employment Relations cases

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.