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- Tasks: Design and deploy innovative machine learning models to solve complex problems.
- Company: Join Qodea, a global tech group at the forefront of innovation.
- Benefits: Competitive salary, private medical insurance, flexible hours, and 36 days annual leave.
- Why this job: Make a real impact with cutting-edge technology and work with top global brands.
- Qualifications: Strong skills in Python, SQL, and machine learning; excellent communication and collaboration abilities.
- Other info: Diverse and inclusive environment with clear career development opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Work where work matters. Elevate your career at Qodea, where innovation isn’t just a buzzword, it’s in our DNA. We are a global technology group built for what’s next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you’re not just taking on projects, you’re solving problems that don’t even have answers yet.
You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work. Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.
Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development. We are looking for a Senior Data Scientist to join our professional services team.
We look for people who embody:
- Innovation to solve the hardest problems.
- Accountability for every result.
- Integrity always.
About The Role
The purpose of this role is to advance clients’ technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.
What You’ll Do
- Strong grasp of statistics and probability fundamentals
- Solid understanding of machine learning algorithms for supervised and unsupervised learning
- Understanding of Transformer based models
- Experience developing AI agents
- Strong Python and SQL skills
- Experience with Cloud ML tools and version control (e.g. git)
- Experience with MLOps
- Collaborative, proactive, logical, methodical, and attentive to detail
- Excellent communication skills (verbal and written)
- Collaborate with clients to understand their business problems and design technical solutions using machine learning models
- Develop and deploy machine learning models on Google Cloud
- Use version control and agile working practices
- Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.
What Success Looks Like
- Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships
- Provides valuable feedback and acknowledges achievements in a constructive manner
- Utilizes diverse influencing techniques to achieve goals
- Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations
- Maintains a delicate balance between personal and team objectives
- Displays sensitivity to the needs of others and readily offers assistance when needed
- Capable of independently developing data solutions using appropriate tools and techniques
- Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas
- Adept at evaluating and incorporating new technologies into existing solutions
- Provides expert advice and support to customers in defining effective solutions
- Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.
We believe in supporting our team members both professionally and personally. Here’s how we invest in you:
- Compensation and Financial Wellbeing
- Competitive base salary.
- Matching pension scheme (up to 5%) from day one.
- Discretionary company bonus scheme.
- 4 x annual salary Death in Service coverage from day one.
- Employee referral scheme.
- Tech Scheme.
- Private medical insurance from day one.
- Optical and dental cash back scheme.
- Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
- EAP service.
- Cycle to Work scheme.
- 36 days annual leave (inclusive of bank holidays).
- An extra paid day off for your birthday.
- Ten paid learning days per year.
- Flexible working hours.
- Market-leading parental leave.
- Sabbatical leave (after five years).
- Work from anywhere (up to 3 weeks per year).
- Industry-recognised training and certifications.
- Bonusly employee recognition and rewards platform.
- Clear opportunities for career development.
- Length of Service Awards.
- Regular company events.
Diversity and Inclusion
At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.
Senior Data Scientist in London employer: Qodea Limited
Contact Detail:
Qodea Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. Think about how you can articulate your problem-solving process and the impact of your work. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Innovation: When writing your application, let us see your enthusiasm for innovation and problem-solving. Share examples of how you've tackled tough challenges in the past, especially those that required creative thinking and a fresh approach.
Highlight Relevant Skills: Make sure to emphasise your strong grasp of statistics, machine learning algorithms, and any experience with Python and SQL. Tailor your application to showcase how your skills align with the role of a Senior Data Scientist at Qodea.
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and experiences at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Qodea.
How to prepare for a job interview at Qodea Limited
✨Know Your Stats
Brush up on your statistics and probability fundamentals. Be ready to discuss how these concepts apply to machine learning algorithms, especially in supervised and unsupervised learning. This will show that you have a solid foundation for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed and deployed machine learning models. Highlight your experience with Google Cloud and MLOps, as well as any innovative solutions you've created. Real-world examples will make your skills stand out.
✨Communicate Effectively
Practice your communication skills, both verbal and written. You’ll need to explain complex technical concepts to clients who may not have a technical background. Being able to convey your ideas clearly will demonstrate your ability to collaborate effectively.
✨Stay Current
Keep yourself updated with the latest developments in machine learning and AI. Be prepared to discuss recent trends or technologies that excite you and how they could be applied to solve real-world problems. This shows your passion for continuous growth and innovation.