Job Description
End Date
Wednesday 01 January 2025
Salary Range
£68,202 - £75,780
We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job Share
Job Description Summary
JOB TITLE:
Senior Data Scientist. SALARY:
The salary banding for this role is £68,000pa to £83,000pa plus the benefits listed below. LOCATION:
Bristol or Edinburgh. HOURS:
35 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 sites. For this role, we're particularly keen to hear from individuals who have a track record of delivering data science projects within commercial environments. For example, those with experience of having successfully industrialised and delivered data science solutions for real-world business and industry applications. Here at Lloyds Banking Group (LBG), we put our customers at the heart of everything we do, and every colleague has an important part to play. LBG is going through one of the largest tech transformations in the UK and Europe, and the LBG AI CoE team is one of the key players within that transformation. The AI CoE Data Science team is a multi-disciplinary team which builds cutting-edge AI products and solutions for sophisticated business problems. We take ideas from the concept stage and work with our customers to understand how data science and machine learning can be applied and then work through the implementation to make that a reality. We are recruiting for a driven and experienced data scientist to join our dynamic team to work on a wide range of exciting projects encompassing machine learning, AI, and GenAI. The role of a Data Scientist ... Working in multidisciplinary teams, you'll support all stages of a project - from exploring the problem statement and experimenting with different modelling approaches to developing industrialised applications powered by Machine Learning and GenAI. As a data scientist, you’ll perform the following activities: Develop experimental models and machine learning applications in Python alongside our ML Data Engineers (who build the data pipelines and ensure data quality). Collect, process, and analyze large data sets from various sources. Perform statistical analysis and interpret results to identify trends and patterns. Collaborate in multidisciplinary squads, regularly communicating key findings to our business partners. Lead small teams in the development and maintenance of data science products that serve internal and external customers. Stay updated with the latest industry trends and technologies in data science. Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK - and together we'll make it possible. Here's what we need from you... We're keen to speak to data scientists that have demonstrable years of experience delivering data science. In particular, candidates with: A strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques such as regression, clustering, attribution (econometrics / MMM), decision trees, and gradient boosting machines (random forest, XGBoost, LGBM, etc.). Proficiency in Python and the Python data science ecosystem, including how to write modular Python code, familiarity with the core Python data structures, and fluency with pandas and other data manipulation and data science libraries. The ability to present the takeaways from these techniques in a clear, visual manner to support senior business partners' decision-making as it is key to the success of our projects. Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation, and model monitoring would also be preferable. Good experience in working on cloud machine learning platforms, preferably GCP Vertex. And how will we challenge you? You'll have the opportunity to partner across our various departments to build solutions for sophisticated business problems. We're fortunate to have a continuous and exciting supply of work and lots of different data sets to work with. You'll get exposure to a host of wider technologies and career moves by broadening your horizons and giving you opportunities to stretch yourself. You’ll work with some of the best Data Scientists in the bank as we look to build a growing data science community. We'll provide you opportunities to share knowledge through self-starting guilds or by mentoring junior data scientists to support their career development. What you’ll receive in return… Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates in all its forms. We want our people to feel that they belong and can be their best, regardless of background or culture. We were one of the first major organisations to set goals on senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from underrepresented groups. We're 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. 30 days' holiday, with bank holidays on top. A range of wellbeing initiatives and generous parental leave policies. Want to do amazing work that's interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses, and communities. With us, you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow, and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us, which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce that reflects the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
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Senior Data Scientist. SALARY:
The salary banding for this role is £68,000pa to £83,000pa plus the benefits listed below. LOCATION:
Bristol or Edinburgh. HOURS:
35 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 sites. For this role, we're particularly keen to hear from individuals who have a track record of delivering data science projects within commercial environments. For example, those with experience of having successfully industrialised and delivered data science solutions for real-world business and industry applications. Here at Lloyds Banking Group (LBG), we put our customers at the heart of everything we do, and every colleague has an important part to play. LBG is going through one of the largest tech transformations in the UK and Europe, and the LBG AI CoE team is one of the key players within that transformation. The AI CoE Data Science team is a multi-disciplinary team which builds cutting-edge AI products and solutions for sophisticated business problems. We take ideas from the concept stage and work with our customers to understand how data science and machine learning can be applied and then work through the implementation to make that a reality. We are recruiting for a driven and experienced data scientist to join our dynamic team to work on a wide range of exciting projects encompassing machine learning, AI, and GenAI. The role of a Data Scientist ... Working in multidisciplinary teams, you'll support all stages of a project - from exploring the problem statement and experimenting with different modelling approaches to developing industrialised applications powered by Machine Learning and GenAI. As a data scientist, you’ll perform the following activities: Develop experimental models and machine learning applications in Python alongside our ML Data Engineers (who build the data pipelines and ensure data quality). Collect, process, and analyze large data sets from various sources. Perform statistical analysis and interpret results to identify trends and patterns. Collaborate in multidisciplinary squads, regularly communicating key findings to our business partners. Lead small teams in the development and maintenance of data science products that serve internal and external customers. Stay updated with the latest industry trends and technologies in data science. Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK - and together we'll make it possible. Here's what we need from you... We're keen to speak to data scientists that have demonstrable years of experience delivering data science. In particular, candidates with: A strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques such as regression, clustering, attribution (econometrics / MMM), decision trees, and gradient boosting machines (random forest, XGBoost, LGBM, etc.). Proficiency in Python and the Python data science ecosystem, including how to write modular Python code, familiarity with the core Python data structures, and fluency with pandas and other data manipulation and data science libraries. The ability to present the takeaways from these techniques in a clear, visual manner to support senior business partners' decision-making as it is key to the success of our projects. Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation, and model monitoring would also be preferable. Good experience in working on cloud machine learning platforms, preferably GCP Vertex. And how will we challenge you? You'll have the opportunity to partner across our various departments to build solutions for sophisticated business problems. We're fortunate to have a continuous and exciting supply of work and lots of different data sets to work with. You'll get exposure to a host of wider technologies and career moves by broadening your horizons and giving you opportunities to stretch yourself. You’ll work with some of the best Data Scientists in the bank as we look to build a growing data science community. We'll provide you opportunities to share knowledge through self-starting guilds or by mentoring junior data scientists to support their career development. What you’ll receive in return… Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates in all its forms. We want our people to feel that they belong and can be their best, regardless of background or culture. We were one of the first major organisations to set goals on senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from underrepresented groups. We're 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. 30 days' holiday, with bank holidays on top. A range of wellbeing initiatives and generous parental leave policies. Want to do amazing work that's interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses, and communities. With us, you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow, and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us, which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce that reflects the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
#J-18808-Ljbffr
