Workplace Data Scientist in London

Workplace Data Scientist in London

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

At a Glance

  • Tasks: Transform data into actionable insights and drive business strategy through analytics.
  • Company: Join a dynamic team at Bloomberg, known for innovation and collaboration.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Work in a fast-paced environment with excellent career advancement opportunities.
  • 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.

What's the role

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

Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at our culture, values, and the people behind our success. 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.

Workplace Data Scientist in London employer: Bloomberg

At Bloomberg, we pride ourselves on fostering a dynamic and collaborative work environment that empowers our employees to excel. As a Workplace Data Scientist in London, you will have the opportunity to engage in meaningful projects that drive business impact while enjoying a culture that values innovation, diversity, and community involvement. With ample opportunities for professional growth and a commitment to employee well-being, Bloomberg is an exceptional place to build your career.

Bloomberg

Contact Detail:

Bloomberg Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Networking is key! Reach out to current employees on LinkedIn or through mutual connections. 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

Showcase your projects! Create a portfolio of your data visualisations and models. This will not only demonstrate your technical skills but also your ability to communicate complex ideas effectively.

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 in London

Data Analysis
Data Visualisation
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 specific tools like Python and SQL that you’re proficient in.

Showcase Your Projects:If you've worked on any data visualisation or predictive modelling projects, make sure to include them in your application. We love seeing real examples of your work, so don’t hold back on sharing your achievements!

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 to join our awesome team at StudySmarter!

How to prepare for a job interview at Bloomberg

Know Your Data Tools

Make sure you're well-versed in the data visualisation software 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, research the company’s operations and think about how your skills can address their specific challenges. Be ready to discuss how you would partner with different teams to design solutions 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. Prepare examples of how you've successfully communicated project progress or findings to non-technical stakeholders in the past.

Showcase Your Problem-Solving Skills

Be prepared to discuss past projects where you identified opportunities for improvement through data analysis. Think about how you approached these problems, the questions you asked, and the innovative solutions you implemented to drive business impact.