Senior Data Strategy & Delivery Consultant in London

Senior Data Strategy & Delivery Consultant in London

London Full-Time 51750 - 63250 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead complex client projects and deliver impactful data analysis.
  • Company: JMAN Group, a dynamic consultancy based in London.
  • Benefits: Competitive salary, mentorship opportunities, and a fast-paced work environment.
  • Other info: Opportunity to mentor junior consultants and expand key accounts.
  • Why this job: Shape client engagements and make a real difference in data strategy.
  • Qualifications: Experience in data strategy and strong leadership skills.

The predicted salary is between 51750 - 63250 £ per year.

JMAN Group in London seeks a Senior Consultant to lead complex client projects end-to-end, shaping engagements and delivering rigorous analysis with tangible commercial impact.

You will guide teams, own problem framing, and mentor junior consultants while expanding key accounts.

You will work with data science and software engineering across core solutions like Due Diligence, Core Reporting, Data & AI Advisory, and Value Creation in a fast-paced global delivery model.

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Senior Data Strategy & Delivery Consultant in London employer: JMAN Group

JMAN Group is an exceptional employer that fosters a dynamic and inclusive work culture, where employees are empowered to lead client projects from day one while honing their technical skills. With a strong focus on personal development through extensive training and mentorship opportunities, our team thrives in a collaborative environment that values creativity and problem-solving. Located in the heart of London, we offer competitive benefits including a discretionary bonus, generous leave policies, and a commitment to work-life balance through hybrid working arrangements.

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Contact Details:

JMAN Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Strategy & Delivery Consultant in London

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 JMAN Group!

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 Senior Data Strategy & Delivery Consultant at JMAN Group.

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 JMAN Group.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Strategy & Delivery Consultant at JMAN Group, 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 Senior Data Strategy & Delivery Consultant in London

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Automation
Data Engineering
Python

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 JMAN Group, 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 JMAN Group. 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 JMAN Group

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 JMAN Group!

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.