At a Glance
- Tasks: Develop and deliver innovative machine learning solutions that drive real business impact.
- Company: Join Deutsche Bank's AI Tribe, a leader in the financial sector.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Be part of high-profile projects while mastering cutting-edge data science technologies.
- Qualifications: Master's degree in a quantitative field and strong Python programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
Join Deutsche Bank's AI Tribe as a Data Scientist and help deliver innovative machine learning and artificial intelligence solutions that create measurable business impact across the bank. You will work with a multidisciplinary team of data scientists, engineers, architects and business stakeholders to develop, deploy and enhance advanced analytics and machine learning capabilities. You will play a key role across the full data science lifecycle, from data exploration and model development through to production deployment and ongoing optimisation. This is an excellent opportunity to work on high-profile initiatives while developing expertise in modern cloud-based data and AI platforms.
What We’ll Offer You
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities
- Develop and deliver machine learning and advanced analytics solutions aligned to business priorities and strategic objectives.
- Apply the end-to-end data science lifecycle, including data preparation, feature engineering, model development, evaluation and deployment.
- Build predictive models and data-driven solutions using modern data science techniques and technologies.
- Collaborate closely with business stakeholders, product teams and technology partners to translate business challenges into analytical solutions.
- Communicate findings, recommendations and model outcomes to both technical and non-technical audiences.
- Continuously evaluate emerging technologies, tools and methodologies to drive innovation and improve delivery effectiveness.
Your skills and experience
- Master's degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or a related quantitative discipline.
- Experience delivering data science, machine learning or advanced analytics solutions in a commercial environment.
- Strong programming skills in Python and familiarity with modern data science libraries and frameworks.
- Experience working with cloud-based data and analytics platforms, preferably Google Cloud Platform or equivalent technologies.
- Good understanding of statistical modelling, machine learning algorithms and model evaluation techniques.
- Strong communication and stakeholder management skills with the ability to explain technical concepts clearly.
How we’ll support you
- Training and development to help you excel in your career.
- A culture of continuous learning to aid progression.
- A range of flexible benefits that you can tailor to suit your needs.
We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).
About us: Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
Data Scientist in London employer: Deutsche Bank AG
Deutsche Bank is an exceptional employer, offering a dynamic work culture in Birmingham that prioritises employee well-being and professional growth. With a hybrid working model, competitive salary, and comprehensive benefits including private healthcare and generous holiday allowances, employees are empowered to thrive both personally and professionally while contributing to the vital mission of combating financial crime.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Deutsche Bank AG!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Deutsche Bank AG.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Deutsche Bank AG.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Deutsche Bank AG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in London
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 Deutsche Bank AG, 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 Deutsche Bank AG. 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 Deutsche Bank AG
✨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 Deutsche Bank AG!
✨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.
