At a Glance
- Tasks: Lead the development of cutting-edge Machine Learning and Deep Learning solutions.
- Company: Join a forward-thinking tech company committed to innovation and diversity.
- Benefits: Enjoy competitive pay, flexible working, and access to extensive training programmes.
- Other info: Collaborative environment with opportunities for career progression and personal development.
- Why this job: Make a real impact by unlocking insights from complex data and driving business growth.
- Qualifications: Strong experience in deep learning, coding, and statistical analysis required.
The predicted salary is between 60000 - 80000 £ per year.
Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners.
By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. Unlock the value in non-traditional datasets by building sophisticated neural networks. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth.
- Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models).
- A proven track record leading model development, including setting the technical direction, project management, stakeholder communications, and mentoring junior members of the team.
- Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices.
- Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters.
- Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
- A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.
We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave.
Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.
Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:
- REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies.
- Women in Tech – promoting an inclusive environment in tech.
- EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry.
Capital One is committed to diversity in the workplace.
Locations
Lead Data Scientist (Model Developer) / Deep Learning Practitioner in Lincoln, Lincolnshire employer: Capital One UK
At Capital One, we pride ourselves on being an exceptional employer, particularly for our Lead Data Scientist role based in Nottingham. Our collaborative and inclusive work culture fosters innovation and personal growth, supported by extensive training programmes and flexible working arrangements. With state-of-the-art facilities, a commitment to diversity, and a focus on employee well-being, we offer a rewarding environment where you can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Model Developer) / Deep Learning Practitioner in Lincoln, Lincolnshire
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Scientist (Model Developer) / Deep Learning Practitioner in Lincoln, Lincolnshire
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capital One UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital One UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital One UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital One UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.