At a Glance
- Tasks: Transform data into actionable insights and drive business strategy through analytics.
- Company: Join Bloomberg, a leader in innovation and collaboration.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on community engagement and personal development.
- Why this job: Make a real impact by leveraging data to improve operations and decision-making.
- Qualifications: Degree in a relevant field and experience with data visualisation and analytics.
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.
Workplace Data Scientist London, GBR Posted today employer: Bloomberg L.P.
Bloomberg is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to engage in meaningful projects that drive business impact while working alongside talented professionals. The company values diversity and inclusion, ensuring a supportive environment where innovative ideas thrive and community engagement is encouraged.
StudySmarter Expert Advice🤫
We think this is how you could land Workplace Data Scientist London, GBR Posted today
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by researching the company culture and recent projects. Show them you’re not just another candidate, but someone who truly gets their vibe.
✨Tip Number 3
Practice your storytelling skills. Be ready to share how your past experiences align with their needs. Make it relatable and engaging – they want to see the real you!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you note can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar!
We think you need these skills to ace Workplace Data Scientist London, GBR Posted today
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight the skills and experiences that align with the Workplace Data Scientist role. We want to see how your unique background fits into our fast-paced, innovative environment.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Include specific examples of your experience with Python, SQL, and data visualisation tools like QlikSense or Tableau. We love seeing how you’ve used these skills to drive business impact.
Communicate Clearly:Remember, we value strong communication skills just as much as technical ones. Use clear and concise language in your application to demonstrate your ability to explain complex concepts to non-technical partners. This will set you apart!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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. Brush up on your Python and SQL skills too, as you'll likely be asked to demonstrate your technical prowess during the interview.
✨Understand the Business Impact
Be prepared to discuss how your previous work has driven business impact. Think of specific examples where your data analysis led to improved operations or strategic decisions. This shows that you not only understand the technical side but also how it fits into the bigger picture.
✨Communicate Clearly
Since the role requires explaining complex concepts to non-technical partners, practice articulating your past projects in simple terms. Use clear, concise language and avoid jargon to ensure everyone understands your contributions and insights.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions that show your interest in the company’s operations and challenges. Inquire about their current data projects or how they measure success. This demonstrates your proactive mindset and eagerness to contribute meaningfully.