At a Glance
- Tasks: Deliver transformative Data and AI programmes while collaborating with top industry professionals.
- Company: Established tech firm known for investing in talent and innovation.
- Benefits: Salary up to £75,000, hybrid work, and ongoing professional development.
- Other info: Dynamic environment with clear career progression and exposure to modern technologies.
- Why this job: Join a high-performing team and make a real impact across various industries.
- Qualifications: Experience in Data, Analytics, or AI transformation with strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Data & AI Delivery Specialist – London (Hybrid)
Our client is an established professional services and technology business helping organisations solve complex data, digital and operational challenges.
Following continued growth and investment, they are expanding their London-based Data & AI capability and are looking to hire talented professionals across multiple experience levels.
You’ll join a collaborative and high‑performing team delivering large-scale transformation programmes that help organisations improve decision‑making, modernise data capabilities and unlock value through analytics and AI.
The business is known for investing heavily in its people, providing genuine progression opportunities, exposure to modern technologies and the chance to work on high‑profile programmes across a variety of industries.
Responsibilities
- Deliver large-scale Data, Analytics and AI transformation programmes
- Engage with senior business and technology stakeholders to understand challenges and define solutions
- Translate business requirements into practical data and technology strategies
- Design and implement modern data platforms, pipelines and analytical solutions
- Support the development of scalable cloud‑based data ecosystems using Azure, AWS or GCP
- Develop data strategy, operating models and transformation roadmaps
- Implement data governance, data quality and wider data management initiatives
- Define AI and machine‑learning use cases that support business growth and innovation
- Manage programme governance, planning, risk management and delivery activities
- Collaborate with cross‑functional teams including Architects, Engineers, Data Scientists and Business Analysts
- Apply agile delivery methodologies and best practices
- Engage in business development, proposal support and client engagement activities
- Mentor and support less experienced colleagues where appropriate
- Identify opportunities to introduce innovative approaches, technologies and solutions
Benefits
- Salary up to £75,000
- Hybrid working model
- Clear career progression opportunities
- Ongoing training, certifications and professional development
- Exposure to large‑scale transformation programmes
- Access to modern cloud, data and AI technologies
- Opportunity to work across multiple sectors and industries
- Collaborative and supportive culture
- Competitive pension and benefits package
- Flexible working environment
- Key Experience
- Experience delivering Data, Analytics, AI or Digital Transformation initiatives
- Strong stakeholder management, communication and presentation skills
- Experience in project, programme or transformation delivery environments
- Understanding of data management, data governance and data quality concepts
- Knowledge of analytics, reporting and AI solutions
- Understanding of data modelling and data architecture principles
- Experience working with modern data platforms and cloud technologies including Azure, AWS or GCP
- Exposure to data pipelines, data warehouses and analytical ecosystems
- Familiarity with SQL, Python or similar technologies used for data analysis and automation
- Experience working within Agile delivery environments
- Strong analytical and problem‑solving skills
- Ability to translate complex business challenges into practical, data‑driven solutions
- Consulting, advisory or client‑facing experience is highly beneficial
- #J-18808-Ljbffr
Data & AI Delivery Specialist employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Specialist
✨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 Jefferson Frank!
✨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 Data & AI Delivery Specialist at Jefferson Frank.
✨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 Jefferson Frank.
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When you find a suitable opening like Data & AI Delivery Specialist at Jefferson Frank, 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 Data & AI Delivery Specialist
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 Jefferson Frank, 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 Jefferson Frank. 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 Jefferson Frank
✨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 Jefferson Frank!
✨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.
