Workplace Data Scientist in London

Workplace Data Scientist in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Bloomberg L.P.

At a Glance

  • Tasks: Transform data into actionable insights and drive business improvements.
  • Company: Dynamic tech company fostering collaboration and innovation.
  • Benefits: Competitive salary, diverse culture, and opportunities for community engagement.
  • Other info: Join a supportive team with excellent career growth potential.
  • Why this job: Make a real impact by leveraging data to shape business strategies.
  • Qualifications: Degree in relevant field and strong skills in data analysis and visualisation.

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 in London 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 employees can make a real difference in their communities.

Bloomberg L.P.

Contact Detail:

Bloomberg L.P. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Workplace Data Scientist in London

Tip Number 1

Get to know the company culture before your interview. Check out their social media, read up on recent projects, and understand their values. This will help you tailor your responses and show that you're genuinely interested in being part of their team.

Tip Number 2

Practice your storytelling skills! When discussing your past experiences, frame them as stories that highlight your problem-solving abilities and how you've made an impact. This makes your answers more engaging and memorable.

Tip Number 3

Don’t just wait for the interviewer to ask questions; come prepared with insightful queries of your own. This shows that you’re proactive and really thinking about how you can contribute to their goals.

Tip Number 4

After the interview, send a thank-you email that reiterates your enthusiasm for the role and highlights a key point from your conversation. It’s a simple way to keep you top of mind and show your professionalism.

We think you need these skills to ace Workplace Data Scientist in London

Data Analysis
Data Visualization
Python
SQL
Qliksense
Tableau
Power BI

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.

Showcase Your Technical Skills:Since this role requires strong technical abilities, be sure to include specific examples of your work with Python, SQL, and data visualisation software. We love seeing real-world applications of your skills, so don’t hold back!

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 candidates who take the initiative!

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 Needs

Before the interview, take some time to research the company’s operations and supply chain. Think about how your skills can address their specific challenges. Be ready to discuss how you would approach understanding and solving their business problems.

Showcase Your Communication Skills

Since the role requires explaining complex concepts to non-technical partners, practice articulating your past projects in a way that highlights your ability to simplify technical jargon. Use examples that demonstrate your interpersonal skills and how you've successfully collaborated with diverse teams.

Prepare for Scenario Questions

Expect scenario-based questions where you’ll need to think critically about how to apply your data science skills to real-world business situations. Prepare by thinking of past experiences where you identified opportunities for improvement and how you communicated those insights effectively.