HR Data Analyst Internship- Cardiff
Cardiff, United Kingdom
LegalAndGeneral
Legal & General are a leading UK financial services provider, offering life insurance, pensions, retirement and investment services. Get a quote today.Company Description
The brand with the brolly is choosing today to change tomorrow. Since 1836, we’ve grown to become one of the world's largest asset managers, homebuilders, pension providers and insurance brands.
We’re all here to improve the lives of our customers, build a better society for the long term, and create value for our shareholders - helping to shape a better future for society and the planet.
We need people who share our ambitions, agility and entrepreneurial spirit to help us do it.
Are you looking for an exciting opportunity that is people orientated and technically challenging?
Are you looking for an internship which combines both your interests in HR- People and Learning & Development, and Data Analysis?
We are looking for year students who can answer “yes” to the above for our 2024 Legal & General Summer Internship based in Cardiff. Please note that this role is based in Cardiff and requires some in person working at our new Cardiff office, as part of our hybrid working model. If you do not currently live within a commuteable distance to Cardiff you would be exected to relocate and unfortunately we are unable to offer support to do this.
We can only accept one application per cycle for our Internship roles, so please consider this before submitting, as your first application will be considered your only application.
We recruit on a rolling basis and expect this vacancy to close before the deadline. To be in with the best chance of securing a role, please submit your application ASAP
Job Description
The key thing to know is that your role will be broad and diverse, with lots of opportunity to develop. You will join the Retail People Development Team and will work on a variety of projects interacting with many different teams across the HR and Retail division.
The placement programme is designed to give you the fundamental experience and skill set required to excel in a career in Data Science.
Over the course of the 8 weeks, you will be given the chance to experience different projects, develop your professional network and expand on both your people and analytical skills. We hope that by the end of the program you will have built a clearer picture of where your interests and experience can take you within Legal & General and the wider industry.
Job duties include:
- Data mining and data visualisation which will support the team in producing MI
- Analysing learning data to provide insights, using both traditional and machine learning methods.
- Summarising performance of learning programmes to present to senior management to aid in decision making.
- Develop new reporting tools & improve current team processes by utilising data analytics.
- Maintain appropriate documentation supporting the procedures, analyses, decisions, processes, and controls.
Qualifications
First and foremost, we are looking for people with an inquisitive mind and a desire to learn. We’re not expecting prior industry experience, but we’ll want to see that you have the tools to develop quickly. These include:
- Penultimate year student, on track for minimum of a 2.1 Degree in a related subject – such as, but not limited to, Data Science, or Computer Science
- Ideally you will have some experience (or at least a passion for) data mining and data visualisation
- Experience with coding languages is highly advantageous (particularly R, SQL and Python)
- Analytical mind-set, with a high level of numeracy
- Knowledge of Machine Learning is beneficial but not essential
- Highly organised with the ability to prioritise effectively
- Proficient with MS Office (Excel, PowerPoint, Word, Outlook, Teams
Additional Information
The People Development Team forms part of the Retail HR Function. We use data to help us to understand the needs and impact of learning. analyse our staff surveys, retention MI, course attendance, costs associated with learning and learning evaluation We work across all aspects of the Retail division, including a variety of business areas (Insurance, Retirements, Home Finance, Fintech and more and group functions (HR).
Whatever your role, we reward ability, performance and attitude with a package that looks after all the things that are important to you. Our employees have a wide range of benefits including a generous pension scheme, life assurance, 25 days’ holiday, private medical insurance, discretionary performance related bonuses, paid overtime, a variety of share schemes, discounts at both a huge range of high street stores and our own great products. Your hard work will be rewarded when you join us.
The brand with the brolly is choosing today to change tomorrow.
Since 1836, we’ve grown to become one of the world's largest asset managers, homebuilders, pension providers and insurance brands.
We’re all here to improve the lives of our customers, build a better society for the long term, and create value for our shareholders - helping to shape a better future for society and the planet.
We need people who share our ambitions, agility and entrepreneurial spirit to help us do it.
At L&G, you’ll find a balance that helps you be your best. Empowered by hybrid working, we’re supported by technology and workplaces that enable us to work effectively wherever we are. We come together in offices to collaborate and connect, and use time at home for individual, focused activities. And, when we achieve great things, we celebrate our success and reward strong performance.
Today, there’s over 10,000 of us, working towards our mission, with plenty of opportunities to grow your career as we grow L&G. Will you join us?
Great minds don’t have to think alike, so we welcome voices from all backgrounds. Bringing together people with different life experiences helps us build empathy with our customers and drive innovation.
We don’t just talk about it, we actively promote diversity and equitable opportunities for all. That means our employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or protected veteran status. In fact, we embrace every dimension of diversity to reflect the customers and communities we serve.
We think it’s important to create an inclusive environment where we can all belong, contribute and drive progress, where you can develop and grow, and be empowered. We want you to use your voice to help us build a better tomorrow.
We all work differently, and have different needs, which is why. we’re always open to discussing flexible working arrangements. Likewise, we’re committed to finding reasonable accommodations for candidates with specific needs during our recruiting process.
So whoever you are, wherever you are, whatever your story, we'd love to hear from you.
Tags: Computer Science Data analysis Data Analytics Data Mining Excel Finance FinTech Machine Learning Python R SQL
Perks/benefits: Career development Flex hours Health care Home office stipend Insurance Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs