Reward Data Science Analyst
SALARY: £45,954 - £51,060
LOCATION: Bristol, Edinburgh, Halifax and Leeds
HOURS: Full-time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.
About this Opportunity
Are you a curious data enthusiast with a passion for uncovering insights to inform decision making on Reward strategies for over 60 000 colleagues? Are you keen on identifying and solving customer/collaborator needs through data storytelling?
This role within the Total Reward team will play a pivotal role in using advanced data analytics and machine learning techniques to extract significant insights from Diverse HR data sources
Your purpose is to decipher complex data, uncover trends, and deliver actionable insights to stakeholders- Your foremost responsibility is to conduct thorough and insightful data analysis. You extract, clean, and transform Reward and wider relevant HR data, deriving significant insights to drive evidence-based decision-making.
- Conduct rapid data analysis to extract insights from HR datasets, identifying trends, anomalies, and opportunities for optimisation.
- Generate reports, presentations, and visualisations that effectively convey data-driven insights to non-technical stakeholders
By collaborating with HR professionals and collaborators, the role aims to drive evidence-based decision-making to drive the Total Reward strategy in supporting the bank's growth and operational excellence. The role will sit as part of a community of practice of Data Science allowing many networking and development opportunities.
Responsibilities:
- Data Analysis and Modelling: Conduct in-depth analysis of Reward and HR data to identify trends, patterns, and opportunities for improvement.
- Build and refine predictive models to forecast workforce dynamics and attrition risk.
- Algorithm Development: Create innovative machine learning algorithms to optimise our Total Reward offering in line with market benchmarks and personalising to specific role types.
- Continuous Improvement: Stay abreast of the latest data science techniques and trends, continuously enhancing the bank's HR analytics capabilities.
- Perform exploratory data analysis on Reward and HR datasets to uncover trends and anomalies.
- Use visualisation tools and techniques to provide user friendly insight to help answer specific questions.
- Providing accurate and insightful data analysis to support the strategy of the team.
- Create and evolve tools, dashboards and models to drive decision making on key Reward topics.
- Collaborate with HR teams to understand use cases before designing and implementing innovative solutions
- Lead efforts to enhance data quality, integrity, and security within Reward data sources.
Why Lloyds Banking Group
Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the constantly evolving needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too
What you'll need:
You're the sort of person who is enthusiastic and curious about data/insight, and passionate about great customer outcomes. With an enquiring mind and an innovative nature, you can demonstrate essential problem-solving skills to provide simple and effective solutions.
You'll be able to communicate and tell stories using data to both technical and non-technical audiences whilst challenging the current offering to drive innovative approaches to people data.
You can take the lead on projects and use a Product mindset to solve customer/collaborator needs, and be experienced in working with and influencing others.
You'll have some experience working in Data Science roles, preferably within an HR function or working with People Data.
Skills & Experience:
- Data Science Expertise: Profound understanding of advanced data analytics, statistical modelling, machine learning, and data manipulation
- Programming Languages: Proficiency in Python/R and related data science libraries (e.g., NumPy, Pandas, scikit-learn).
- SQL Proficiency: Solid skills in querying and manipulating data from relational databases.
- Data Modelling: Experience in designing and creating optimal data models to streamline FinOps
- Data Visualisation - experience in using a range of tools including PowerBi and Tableau
- Domain Knowledge: Comprehensive understanding of HR processes, policies, and challenges within the banking sector.
- Storytelling & Communication: Excellent verbal and written communication skills to convey complex findings to non-technical collaborators.
- Collaboration: Demonstrable ability to work closely in multi-functional teams and influence decision-making.
- Problem Solving: Creative problem-solving skills to address unique HR challenges using data-driven approaches.
About working for us
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups.
We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 28 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
If you're excited by the thought of becoming part of our team, get in touch. We'd love to hear from you!