At a Glance
- Tasks: Transform data into actionable insights and drive business improvements.
- Company: Join a dynamic team at Bloomberg, known for innovation and collaboration.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and offers career advancement.
- Why this job: Make a real impact by leveraging data to shape business strategies.
- Qualifications: Degree in a relevant field and experience with data visualisation tools.
The predicted salary is between 60000 - 80000 £ per year.
The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen.
As an integral member of the team, you will go beyond the collection and synthesis of data; you'll help us to determine where potential opportunities exist; the information required to effectively analyse our processes; and how to use findings to improve our operations and strengthen our business strategy. We are looking for a Workplace Data Scientist that possesses an outstanding combination of business insight and technical skills, as well as strong communication and social skills. You will partner with our Support functional teams to understand their needs, and collaborate with engineers to design and implement technology solutions.
You will work hands-on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. Your projects will involve building complex data models, creating data visualizations, conducting robust statistical analysis, and building predictive data science models to help the business make smarter decisions. You'll be encouraged to work independently, understand the business problem and to handle your own priorities, while collaborating with other team members and colleagues across various businesses. You have a vision, you design, you simplify, you visualize, and you effectively communicate the business impact of your work. In this role you will lead strategic planning, while driving alignment and performance across the organization. You have the responsibility to ensure the projects, systems and processes you own are supported and drive business impact.
We'll trust you to:
- Work closely with partners and their teams to understand their business needs and design solutions
- Partner with stakeholders to design insightful analytics and key performance indicators that will promote efficiency/operational excellence
- Think beyond specific tasks, understand the ultimate goal, and ask the right questions to drive value for the business
- Find innovative ways to build business impact
- Effectively communicate project progress and success to partners in compelling, creative, and accessible ways
- Build intuitive data models and dashboards using Python, SQL, and data visualization software (i.e., Qliksense, Tableau, PowerBI)
- Perform robust analysis of large data sets using the Python data science suite
You'll need to have:
- An undergraduate degree or higher in Computer Science, Mathematics, Statistics or similar
- Strong attention to detail and the ability to produce high quality presentation materials for senior leadership
- Experience with data visualization software tools (e.g. Qliksense, Tableau, Power BI, etc.)
- A minimum of 3 years experience in analytics consulting, data modeling, and predictive models using Python
- A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark
- Full spectrum of project management skills: ideation, prioritization, communication, and delivery
- Ability to work with and explain technical concepts to non-technical partners, and break down sophisticated business problems into achievable steps
We'd love to see:
- Excellent interpersonal skills and ability to explain technical processes and solutions to business partners and management
- Dashboard development experience in QlikSense
- Development and design of management KPI dashboards
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net.
Workplace Data Scientist employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workplace Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and any tips they might have for landing a role at the company.
✨Tip Number 2
Prepare for interviews by practising common data science questions and scenarios. Use real-world examples from your past work to showcase your skills and how you can add value to the team.
✨Tip Number 3
Show off your projects! Create a portfolio that highlights your data visualisations, models, and any analytics applications you've developed. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Workplace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Workplace Data Scientist role. Highlight your data modelling, analytics consulting, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with data visualisation tools like QlikSense or Tableau – we love that stuff!
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to include specific examples of your work with Python, SQL, and data visualisation software. We want to know how you've used these tools to drive business impact in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Data Tools
Make sure you're well-versed in the data visualisation tools mentioned in the job description, like QlikSense, Tableau, and Power BI. Be ready to discuss your experience with these tools and how you've used them to create impactful dashboards or reports.
✨Understand the Business Needs
Before the interview, research the company’s operations and think about how your skills can address their specific challenges. Prepare examples of how you've previously partnered with stakeholders to design analytics that drive efficiency and operational excellence.
✨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex technical concepts in simple terms. You might be asked to describe a past project, so focus on how you can convey your findings and their business impact effectively.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've approached complex business problems in the past. Think about specific instances where you identified opportunities for improvement through data analysis and how you implemented solutions that made a difference.