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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: Exciting career growth and a supportive, inclusive culture.
- Why this job: Join a dynamic team and make a real impact in the tech world.
- Qualifications: Experience in data science, Python programming, and collaborative skills.
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 employer: tlg talent
Contact Detail:
tlg talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨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 it highlights your coding skills, problem-solving abilities, and any cool AI/ML solutions you've developed. This is your chance to shine!
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your thought process and how you approach problem-solving. Remember, they want to see how you think, not just what you know!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also shows you're serious about joining our team. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist
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 interesting 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 them in real-world scenarios, especially in complex data processing and statistical analysis. This will show that you not only understand the theory but can also put it into practice.
✨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. Practising common data science coding challenges can really help you shine.
✨Understand the Ethical Side
Familiarise yourself with the ethical, privacy, and security concerns related to AI/ML. Be ready to discuss how you would approach these issues in your work. This shows that you’re not just technically skilled but also aware of the broader implications of your work.
✨Be a Team Player
Collaboration is key in this role, so be prepared to talk about your experience working in teams. Share examples of how you've supervised junior analysts or collaborated on projects. Highlighting your communication skills and ability to work well with others will make you stand out.