Data Scientist / Data Analyst Birmingham, England
Job description
Job Title : Data Scientist / Data Analyst
Location : Birmingham
Corporate Title : Assistant Vice President
We are looking for a Data Scientist to join our KYC Operations Transformation - Design and Analytics team, with a proven track record of gaining insights from reviewing company data. You will be experienced in using large data sets to find opportunities for process improvement and process optimisation and using models to test the effectiveness of different courses of action.
You will have strong experience using a variety of data mining/data methods, using a variety of data tools, building, and implementing models, using/creating algorithms and creating/running simulations. You will have proven ability to drive business results with their data-based insights. They must be comfortable collaborating with a wide range of stakeholders and functional teams. You will have a passion for discovering solutions hidden in large data sets and collaborating with stakeholders to improve business outcomes.
What we’ll offer you
A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.
You can expect:
Hybrid working arrangements with the opportunity to work in the office and remotely from home
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
Data and Process mining to assess data from company databases / Celonis to drive process analysis for root cause, improvement and optimisation
Review large data sets, creating algorithms that manage and organise information and writing applications that translate data and identify patterns
Assess the effectiveness and accuracy of new data sources and data gathering techniques. And effectiveness of technology changes
Develop custom data models and algorithms to apply to data sets.
Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
Collab and coordinate with different functional teams to implement models and monitor outcomes
Your Skills and Experience:
Strong problem-solving skills with an emphasis on process analysis and improvement
Experience using statistical computer languages SQL (expert level), Python etc to manipulate data and draw insights from large data sets. Celonis analytical skills for process mining is desirable. Experience working with and creating data architectures
Lean Six Sigma black belt, experienced in working in a regulated transactional environment
Understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experienced with applications of these techniques
Excellent written and verbal communication skills for coordinating across teams
How we’ll support you
Training and development to help you excel in your career
Flexible working to assist you balance your personal priorities
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 and our teams
Deutsche Bank is the leading German bank with strong European roots and a global network.
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
