At a Glance
- Tasks: Design and scale impactful AI solutions while collaborating with clients and leading teams.
- Company: Join a global leader in technology and innovation, shaping the future of digital services.
- Benefits: Competitive salary up to £95k, 15% clearance bonus, and excellent career progression.
- Other info: Opportunities to publish research and represent the company at conferences.
- Why this job: Make a real impact in an inclusive environment while working on cutting-edge AI projects.
- Qualifications: Active enhanced DV Clearance and expertise in machine learning and AI techniques required.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.
Qualifications
- Must have active enhanced DV Clearance
- Junior to Lead levels available
- £45k to £95k DoE plus 15% clearance bonus
- Must be willing to be full-time on‑site in Central London
- Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy
What will the Data Scientist be doing?
Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.
Key Skills and Requirements
- Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
- Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
- Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
- Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
- Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.
Key Skills
- Data Science
- Data Scientist
- AI Engineer
- AI
- Machine Learning
- ML
- NLP
- GenAI
- Stakeholder Engagement
- Customer Engagement
- AWS
- Azure
- Cloud
- Docker
- Kubernetes
- CI/CD
- Deep Learning
eDV Data Scientist in London employer: Energy Jobline ZR
World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land eDV Data Scientist 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 Energy Jobline ZR!
✨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 eDV Data Scientist in London at Energy Jobline ZR.
✨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 Energy Jobline ZR.
✨Apply Directly through Our Website
When you find a suitable opening like eDV Data Scientist in London at Energy Jobline ZR, 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 eDV Data Scientist 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 Energy Jobline ZR, 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 Energy Jobline ZR. 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 Energy Jobline ZR
✨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 Energy Jobline ZR!
✨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.
