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- Tasks: Analyse data, develop AI/ML solutions, and collaborate on innovative projects.
- Company: Leading tech consulting firm with a focus on diverse sectors.
- Benefits: Competitive salary, hybrid work model, and professional development opportunities.
- Other info: Great career growth potential and supportive work culture.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Experience in data analysis, Python programming, and AI/ML techniques.
The predicted salary is between 70000 - 70000 £ per year.
We are a leading provider of technology consulting services, providing cross-functional teams to power short-term and long-term projects with relevant skills within government and private sector organisations; fintech, media, insurance, retail, legal, travel, property, technology, start-ups. For over a hundred organisations within the UK, we provide both in-house trainees and experienced consultants to our clients. Mostly on 12- or 24-month fixed-term contracts, after which many clients go on to hire our consultants on a permanent basis.
Hybrid – 2-3 days on site in London office
12 month FTC
£70k + benefits
Must have SC clearance
You will have experience in many of the following:
- Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks and processes for data science.
- Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder.
- Employing data science algorithms and methods for complex data processing, statistical analysis and advanced analytics.
- Collaboratively designing & building prototypes and Proof of Concept solutions.
- Conducting data preparation, modelling, labelling and transformation of 'messy' data, to make ready for the application of data science techniques.
- Applying AI/ML approaches through design, development and optimisation of machine learning solutions.
- Understanding of ethical, privacy, security and policy concerns relevant to the application of AI/ML.
- Coding of complex programs and scripts, expert in Python programming.
- Supervising junior analysts/scientists and ML engineers, providing guidance & coaching.
- Performing assessment of AI-related risks, identifying recommended mitigations.
- Shaping product roadmaps & informing strategies to adopt AI/ML.
- Offering thought leadership on data science trends, benefits and key considerations presenting to wider communities e.g. blogs, events and conferences.
It would be great if you also had experience in some of these, but if not we’ll help you with them:
- Developing in Cloud Computing such as AWS, MS Azure.
- Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes.
- Designing and modelling AI/ML architectures.
- Relational, document, search or graph database systems.
- Containerisation e.g. Docker, Kubernetes.
Values
- Drive. You are enterprising, motivated and ambitious.
- Innovation. You are inventive, progressive and inquisitive.
- Diversity. You are inclusive and open-minded.
- Empathy. You are supportive and considerate.
- Collaboration. You work in synergy with others and are an excellent communicator.
- Flexibility. You are adaptive and level-headed.
Data Scientist in London employer: tlg talent
Contact Detail:
tlg talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, make sure to highlight your coding skills, algorithms you've implemented, and any cool prototypes you've built. This is your chance to shine!
✨Ace the Interview
Prepare for technical interviews by practicing common data science problems and algorithms. Brush up on your Python skills and be ready to discuss your thought process. Remember, they want to see how you think, not just the final answer!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data science algorithms, Python programming, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Don't forget to mention any innovative solutions you've implemented in the past.
Showcase Your Projects: If you've worked on any cool data science projects, make sure to include them in your application. Whether it's a prototype or a proof of concept, we love seeing how you've creatively applied your skills to solve real-world problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at tlg talent
✨Know Your Data Science Stuff
Make sure you brush up on your data science algorithms and methods. Be ready to discuss how you've applied these in real-world scenarios, especially in complex data processing and statistical analysis. The more specific examples you can provide, the better!
✨Show Off Your Coding Skills
Since Python programming is a must-have for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practise coding challenges beforehand to boost your confidence.
✨Understand the Ethical Side
Familiarise yourself with the ethical, privacy, and security concerns related to AI/ML. Be ready to discuss how you would assess AI-related risks and what mitigations you would recommend. This shows that you’re not just technically savvy but also socially responsible.
✨Emphasise Collaboration and Communication
This role involves supervising junior analysts and working in cross-functional teams, so highlight your collaboration skills. Share examples of how you've successfully worked with others, mentored team members, or communicated complex ideas to non-technical stakeholders.