At a Glance
- Tasks: Design and deliver cutting-edge AI solutions while leading a dynamic team.
- Company: Global data and AI consultancy with a fast-growing London team.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative environment with exciting career advancement opportunities.
- Why this job: Make a real impact by shaping innovative AI offerings for top clients.
- Qualifications: Experience in building AI systems, strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
Location: London, hybrid (2 to 3 days in the office)
Type: Permanent, Contract full time
About the company
Our client is a global data and AI consultancy, helping some of the world's best-known organisations turn data and AI into real business results. Their London team is growing fast, and agentic AI is a big part of their work with clients.
The role
You'll design, build and deliver agentic AI and LLM solutions for clients, from first idea through to production. You'll lead a small team of data scientists, work closely with consultants and client stakeholders, and help shape how the team delivers AI work as it grows.
What you'll do
- Build and deploy agentic and LLM-based systems that clients rely on
- Write production-quality Python and SQL
- Deploy and run solutions on cloud platforms (GCP, AWS or Azure)
- Lead, mentor and develop data scientists on client projects
- Explain complex technical work clearly to non-technical clients
- Help shape new AI offerings as the team grows
What you'll bring
- Hands-on experience building and shipping agentic or LLM systems into production, not just prototypes
- Strong Python and SQL
- Experience with at least one major cloud platform
- Experience leading people or a delivery team
- Clear, confident communication with stakeholders
Nice to have
- Consulting or client-facing delivery experience
- Experience evaluating and monitoring LLM systems (testing, guardrails, cost control)
- MLOps tools such as MLflow, Airflow or CI/CD pipelines
Senior Data Scientist employer: We Are Dcoded Limited
Join a dynamic and fast-growing international organisation that values innovation and collaboration. As an IT Business Partner, you'll benefit from a supportive work culture that prioritises employee development and offers numerous growth opportunities in the finance and banking sectors. With a focus on shaping data strategy, you'll be part of a team that drives meaningful change while enjoying a competitive benefits package and a vibrant workplace environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨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 We Are Dcoded Limited!
✨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 We Are Dcoded Limited.
✨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 We Are Dcoded Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at We Are Dcoded Limited, 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 Senior Data Scientist
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 We Are Dcoded Limited, 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 We Are Dcoded Limited. 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 We Are Dcoded Limited
✨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 We Are Dcoded Limited!
✨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.
