Hybrid Data Science & Strategy Consultant

Hybrid Data Science & Strategy Consultant

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
A

At a Glance

  • Tasks: Combine data science with strategic communications to deliver impactful client solutions.
  • Company: FTI Consulting, a leader in digital insights and analytics.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team in a fast-paced environment with excellent career advancement potential.
  • Why this job: Make a real difference by using data to shape brand messaging and protect reputations.
  • Qualifications: Experience in data analysis, strong communication skills, and a passion for strategy.

The predicted salary is between 63000 - 77000 £ per year.

FTI Consulting in London seeks a data science consultant for the Digital & Insights practice, combining analytics with strategic communications.

The role blends audience insights, media analysis, and performance metrics, leveraging ML/AI to inform messaging and brand protection.

You will design and deploy data-driven approaches, collaborating with consultants and experts to deliver holistic client solutions and support business development with compelling data stories.

#J-18808-Ljbffr

Hybrid Data Science & Strategy Consultant employer: Andersch Ag

Andersch Ag is an exceptional employer, offering a dynamic work environment where innovation meets compliance in the financial services sector. With a strong commitment to professional development, employees benefit from mentorship opportunities and a culture that values collaboration and growth. Located in the heart of the UK, our team thrives on tackling complex regulatory challenges while enjoying a supportive atmosphere that encourages both personal and professional advancement.

A

Contact Details:

Andersch Ag Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Data Science & Strategy Consultant

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Andersch Ag!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Data Science & Strategy Consultant at Andersch Ag.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Andersch Ag.

Apply Directly through Our Website

When you find a suitable opening like Hybrid Data Science & Strategy Consultant at Andersch Ag, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid Data Science & Strategy Consultant

Data Science
Analytics
Strategic Communications
Audience Insights
Media Analysis
Performance Metrics
Machine Learning

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Andersch Ag, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Andersch Ag. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Andersch Ag

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Andersch Ag!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.