Senior Data Scientist & Tech Lead β€” Hybrid AI/ML in Sale

Senior Data Scientist & Tech Lead β€” Hybrid AI/ML in Sale

Sale Full-Time 63000 - 77000 Β£ / year (est.) Hybrid
Digica Ltd.

At a Glance

  • Tasks: Design and deploy ML models for exciting AI projects while mentoring junior team members.
  • Company: Join Digica Ltd., a forward-thinking company at the forefront of AI/ML innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Flexible work schedule with a vibrant team culture.
  • Why this job: Lead impactful AI projects and collaborate with international clients in a dynamic environment.
  • Qualifications: Proven experience in data science and strong leadership skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Digica Ltd. is seeking an experienced Data Scientist who will also act as a Technical Lead.

You will design and deploy ML models for AI-focused R&D projects, guiding client conversations from solution design to production deployment.

You will mentor juniors, select algorithms, integrate models into production, and present results to stakeholders.

The role offers a hybrid work model with 3 days in the office and collaboration with international clients.

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Senior Data Scientist & Tech Lead β€” Hybrid AI/ML in Sale employer: Digica Ltd.

At Digica Ltd., we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Senior Data Scientist & Tech Lead, you will not only have the opportunity to work on cutting-edge AI/ML projects but also mentor junior team members, enhancing your leadership skills in a supportive environment. With a hybrid work model and the chance to engage with international clients, we offer a unique blend of flexibility and professional growth that makes us an exceptional employer.

Digica Ltd.

Contact Details:

Digica Ltd. Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Scientist & Tech Lead β€” Hybrid AI/ML in Sale

✨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 Digica Ltd.!

✨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 & Tech Lead β€” Hybrid AI/ML at Digica Ltd..

✨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 Digica Ltd..

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Scientist & Tech Lead β€” Hybrid AI/ML at Digica Ltd., 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 & Tech Lead β€” Hybrid AI/ML in Sale

Machine Learning
Model Deployment
Solution Design
Mentoring
Algorithm Selection
Integration of Models
Stakeholder Communication

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 Digica Ltd., 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 Digica Ltd.. 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 Digica Ltd.

✨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 Digica Ltd.!

✨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.