At a Glance
- Tasks: Lead the creation of a new Data Practice and develop innovative data solutions.
- Company: Award-winning AI-led software house with a focus on public sector projects.
- Benefits: Hybrid working, bonus scheme, private medical insurance, and professional development opportunities.
- Other info: Join a dynamic team and work on impactful projects in a supportive environment.
- Why this job: Shape the future of data in a rapidly growing company and elevate your career.
- Qualifications: 6+ years in Data Engineering/Data Science with strong technical and leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
A multi-award winning, AI-led software house specialising in large-scale projects for the UK’s public sector, utilities, and transportation industries have announced their plans to build a brand new Data Practice. As the Data Lead, you will be the founding member of this Data Practice and will have the unique opportunity to shape their Data offering. Currently specialised in AI-enabled transformation and digital managed services, providing cutting-edge cloud platform solutions, customisable apps and portals and exceptional digital transformation support, you will be essential in broadening their capabilities and offerings.
Opportunities like this do not come around very often. They have cemented themselves as the consultancy of choice for many major global brands and public sector bodies across the UK. With this strong foundation, they are ideally positioned to capitalise on the huge demand for Data & AI solutions in the market. You will play a central role in leading this next phase of their growth as it will take your career to new heights.
What You Will Be Doing:
- Setting the Data strategy
- Leading a team of Data Consultants
- Understanding their customers and their data
- Building innovative Data Solutions (Databricks, Fabric, etc.)
- Advising on tools & technology selection
- Developing best practices and optimising processes
- Helping grow the practice, identifying and landing opportunities for data-related projects
What You Will Have:
- 6+ years’ experience in Data Engineering / Data Science in a commercial setting
- Strong experience designing, building and delivering modern Data Platforms
- Deep understanding of tools and technologies such as Databricks, Fabric, SQL, Python and Scala
- Strong capabilities working in Data Warehousing and Datalakes
- Cloud exposure with a preference to Azure
- Non-technical skills such as consulting, team leadership and project delivery
- Hands-on experience with AI tools, preferably Claude
- Previous working experience on Public Sector project delivery
What You Will Get:
- This is a career-defining opportunity, they are looking for someone who shares their excitement to embark on this Data-centric journey
- Partner with a Senior Manager who has ‘been there and done it’ in the Tech Delivery space
- Be part of a company with exciting growth plans
- Work as part of an AI-led business; Anthropic partner
- Hybrid working
- Bonus scheme
- Private medical insurance
- Cycle to work scheme
- Opportunities for professional development and agile learning
Data Lead - AI-Led Software House - Help Build A Brand New Data Practice in Lisburn employer: Adepta Partners
As a pioneering AI-led software house, this company offers an exceptional opportunity for the Data Lead to shape a brand new Data Practice while working on impactful projects within the UK’s public sector and utilities. With a strong emphasis on employee growth, hybrid working options, and a supportive culture that encourages innovation and professional development, you will be part of a dynamic team that is at the forefront of digital transformation. The unique chance to lead in a rapidly evolving field, coupled with competitive benefits like private medical insurance and a bonus scheme, makes this an outstanding employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead - AI-Led Software House - Help Build A Brand New Data Practice in Lisburn
✨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 Adepta Partners!
✨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 Lead - AI-Led Software House - Help Build A Brand New Data Practice at Adepta Partners.
✨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 Adepta Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead - AI-Led Software House - Help Build A Brand New Data Practice at Adepta Partners, 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 Lead - AI-Led Software House - Help Build A Brand New Data Practice in Lisburn
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 Adepta Partners, 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 Adepta Partners. 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 Adepta Partners
✨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 Adepta Partners!
✨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.
