At a Glance
- Tasks: Lead exciting data consulting projects and shape innovative data strategies for diverse clients.
- Company: Join a global leader in data consulting with a commitment to diversity and inclusion.
- Benefits: Enjoy tailored benefits, flexible work options, and continuous learning opportunities.
- Other info: Be part of a dynamic team that values growth, collaboration, and innovation.
- Why this job: Make a real impact by transforming complex data into actionable business solutions.
- Qualifications: 8+ years in data consulting with strong leadership and communication skills.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking a highly skilled and experienced Data Consultant (Senior Manager level) to join our dynamic team. This role will focus on providing strategic data consulting and advisory services to our clients, with experience across the following areas:
- Data & AI Strategy
- Data Operating Models
- Data Governance & Management
- Advanced Analytics & AI
The ideal candidate will have a strong background in data consulting, excellent communication skills, and the ability to lead and mentor junior team members. You will be expected to shape propositions, support sales activities, deliver client projects, lead teams and manage cross-functional client staff and stakeholders in a variety of contexts, covering multiple sectors, including telecoms and media, banking, insurance, retail, energy & utilities, and public sector.
This role is London based but may involve travel within the UK and Europe and will require flexibility.
Key Responsibilities:
- Lead and deliver data consulting projects, including data strategy development, Data Operating Models, and data literacy programmes.
- Advise clients on best practices for data management, data quality, and data governance.
- Translate complex data opportunities into clear business outcomes.
- Collaborate with clients to understand their business needs and translate them into data solutions.
- Provide thought leadership and stay up-to-date with industry trends and advancements in data and analytics.
- Define and develop Data & AI frameworks and methodologies to grow our practice and ensure scalable, repeatable delivery.
- Mentor and support junior consultants, fostering a culture of continuous learning and development.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
- 8+ years of experience in data consulting, data strategy, or a related role.
- Deep understanding of trends in data governance, data platforms, cloud technologies, AI/ML, and analytics.
- Experience of leading and delivering Data & AI projects.
- Data-oriented personality, great communication skills, and an excellent eye for detail.
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues and clients on exciting projects.
We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce.
Join us in building a truly diverse and empowered team.
Senior AI & Data Consultant in London employer: NTT DATA
NTT DATA is an exceptional employer that values its employees by fostering a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional development, we offer numerous growth opportunities and training programs to enhance your skills in desktop support and customer service. Join us to be part of a dynamic team where your contributions are recognised and rewarded, making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Data 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 NTT DATA!
✨Show Off Your Projects
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✨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 NTT DATA.
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When you find a suitable opening like Senior AI & Data Consultant at NTT DATA, 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 AI & Data Consultant in London
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 NTT DATA, 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 NTT DATA. 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 NTT DATA
✨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 NTT DATA!
✨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.
