Data Scientist - Machine Learning
- London
- Full-time
- IT & Change
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827_07602
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Helping over ten million people around the world manage their savings, retirement plans and life insurance requires a lot of people behind-the-scenes. It’s up to us in L&G Group functions – which includes our tech and digital teams, Group Finance, HR, Risk and Corporate Comms to provide the essential support services that all areas of the business need, here in the UK and overseas. Simply put, we enable everyone at Legal & General to do what they do best. That means we’re helping to improve our customers’ lives and contributing to the success of the business every day.
Legal and General’s Group Functions are looking to add a Data Scientist to the team to deliver on Machine Learning projects across the organisation. Acting as an internal consultancy the team works to provide advanced data science capabilities across a myriad of teams to provide more insight and better prediction for areas such as customer behaviour prediction, finance and investment management and people analytics.
You will be working on end to end machine learning solutions, both supervised and unsupervised depending on the project while partnering with the devops team to productionise solutions while working closely with internal stakeholders to gather requirements and work together to conceptualise solutions.
What you’ll be doing
- Developing and delivering Data Science solutions, working with a variety of data sources, to better inform business decision making, enhancing customer experience and creating a competitive edge.
- Developing and maintaining productive relationships with all stakeholders, communicating with stakeholders in a non-technical manner, providing advice, understanding and insight to improve the utilisation of Data Science within the organisation.
- Identifying, sourcing, and engineering data to support Data Science activity. Ensuring data is of sufficient quality and completeness and conduct exploratory data analysis. Utilising findings to prepare data for Data Science activities.
- Visualising model results, analytical outputs and project deliverables to a high standard through the use of best practice.
- Working with other data professionals and business stakeholders to automate and productionise Data Science solutions through the use of appropriate code and automation tooling.
- Ensuring all work is fully documented and quality assurance is undertaken (via peer review) to verify the accuracy of all deliverables.
- Providing Data Science SME support on any data processes or initiatives, with respect to delivering improvements to customer support and experience.
What we’re looking for
- Experience in dealing which high volumes of data with excellent attention to detail and reconciliation.
- Knowledge of a wide variety of Machine Learning techniques.
- Performing data manipulation and transformation to create datasets and engineering features for Machine Learning activity.
- Automating analysis and applying model pipelines.
- Gathering requirements from stakeholders, managing expectations and guiding on approach.
- Experience with coding languages for Machine Learning model development such as Python or R.
- Experience with SQL for data manipulation.
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.
Great news! We will let you know when a new job like this has been added!
Our businesses
There’s so much more to us than meets the eye. We’re insurers, investors, builders, city-regenerators and green technology champions. And whatever the future holds, our people’s knowledge, skill and passion will mean we’re placed to make a real difference to society.
Read MoreWorking for us
Here, your actions and ideas come to life in exciting and meaningful ways. Ours is a story of evolution, a journey we can go on together. Ours is a culture of trust and collaboration, genuinely caring about society and one another. At Legal & General, your story will be anything but familiar.
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