At a Glance
- Tasks: Lead data-driven projects and deliver innovative solutions for major clients.
- Company: Dynamic consultancy specialising in Data and Cyber Security solutions.
- Benefits: Competitive salary, 15% bonus, and opportunities for professional growth.
- Other info: Work in a collaborative environment with excellent career advancement potential.
- Why this job: Join a rapidly growing team tackling exciting challenges in tech and security.
- Qualifications: Strong Python skills, client-facing experience, and machine learning expertise.
The predicted salary is between 68000 - 102000 £ per year.
Enhancing Cyber Defences for OT & Critical Infrastructure
I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They have experienced impressive growth over the last few years and as a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country.
They are currently looking for a Senior or Lead Data Scientist. This will be a blend of client-facing skills (ability to understand business problems, create novel models/solutions, and communicate the solution clearly) combined with strong analytics/machine learning skills and a base understanding of engineering principles. The role focuses on being the main point of contact for major clients and providing technical leadership of the wider team across various projects.
Responsibilities:
- Serve as the main point of contact (POC) for major clients, understanding business problems and delivering data-driven solutions.
- Provide technical leadership to the wider team across multiple projects.
- Translate business problems into actionable analytics and machine learning solutions; communicate findings clearly to clients.
- Manage client relationships, projects and technical teams (essential).
- Conduct deep analysis and extract actionable insights from often unstructured large datasets.
- Work with machine learning models and related analytics tooling.
- Maintain awareness of cloud platforms and deployment considerations.
- Understand CI/CD pipelines, Docker, and related orchestration tools (preferred).
- Be eligible for SC clearance (5 years in the UK without leaving for longer than 3 months) and willing to obtain for this position; current or previous SC clearance preferred.
Qualifications & Skills:
- Excellent knowledge of Python and the supporting machine learning and analytics tools.
- Client-facing experience with the ability to relay complex solutions simply to clients' needs.
- Experience managing client relationships, projects and technical teams.
- Experience of deep analysis gaining actionable insight from often unstructured large datasets.
- Experience working with machine learning models.
- Experience with mainstream cloud platforms such as AWS, Azure, or GCP (preferred).
- An understanding of CI/CD pipelines, Docker and associated orchestration tools (preferred).
- SC clearance eligible (5 years in the UK with limited absence).
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst, Consulting, and Engineering
Industries: IT Services and IT Consulting and Information Services
Location: London, England, United Kingdom
Senior Data Scientist in London employer: Paradigm Tech
Paradigm Tech is an exceptional employer, offering a dynamic work environment in the heart of Central London where innovation thrives. With a strong focus on employee growth and development, team members are encouraged to tackle challenging projects in AI and Cyber Security, while enjoying a collaborative culture that values creativity and technical excellence. The company's commitment to rapid growth and its accolades in the industry make it a rewarding place for professionals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Paradigm Tech!
✨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 Scientist at Paradigm Tech.
✨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 Paradigm Tech.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior 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 Paradigm Tech, 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 Paradigm Tech. 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 Paradigm Tech
✨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 Paradigm Tech!
✨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.
