Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Reward Advisor

Glasgow
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst / HR Reporting Advisor

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Quantitative Risk Manager

Quantitative Risk Manager

Data Analyst

Anderson Knight are supporting a key client with the appointment of a Reward Advisor into their HR function. This role will play a pivotal role in shaping and delivering the organisation’s reward strategy, supporting key initiatives that align with our overall business objectives. This role is a unique opportunity for an experienced professional to contribute to the design, implementation, and optimisation of reward frameworks that attract, retain, and motivate top talent. The Reward Advisor will partner closely with HR, senior management, and external vendors to ensure that reward strategies are competitive, equitable, and sustainable.

Key Responsibilities:

  • Contribute to the development and execution of a comprehensive reward strategy, aligned with the organisation's values, objectives, and market trends.

  • Provide expert advice to leadership on reward trends, regulatory changes, and best practices, ensuring strategic alignment with long-term goals.

  • Regularly review, refine, and implement reward policies to ensure they are competitive, fair, and compliant with regulations.

  • Lead in designing, benchmarking, and maintaining compensation structures, including salary bands, bonuses, and incentive programs, to support recruitment, retention, and performance objectives.

  • Conduct job evaluations, market analysis, and salary benchmarking to inform pay decisions.

  • Manage and analyse reward data, developing insights and reporting on KPIs, to drive decision-making and demonstrate return on investment.

  • Review and enhance the benefits offering to remain competitive, effective, and valued by employees.

  • Collaborate with benefits providers, manage renewals, and optimise programs to support employee well-being and engagement.

  • Provide employees with relevant information and education to maximise their understanding and use of available benefits.

  • Support the development of performance and recognition programs that promote a culture of high performance and align with organisational objectives.

  • Regularly assess and improve recognition programs, ensuring they are meaningful and inclusive.

  • Ensure compliance with legal requirements and industry regulations related to reward and benefits.

  • Maintain internal policies and procedures for reward, collaborating with HR and finance to ensure accurate and ethical management of rewards.

    Ideal experience and background:

  • Proven experience in a reward-focused role, with a track record of influencing and implementing reward strategies.

  • Strong analytical and quantitative skills, with proficiency in data analysis tools.

  • Excellent communication and interpersonal skills, with the ability to influence and advise stakeholders at all levels.

  • Up-to-date knowledge of reward best practices, legal requirements, and industry trends.

    Why Join our client?

    This is an exciting opportunity to play an instrumental role in shaping our reward landscape and helping us attract, engage, and retain the best talent in the industry. If you're passionate about making a meaningful impact on employee rewards and ready to influence our future direction, we’d love to hear from you

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.