At a Glance
- Tasks: Lead AI and machine learning projects while mentoring a team of Data Scientists.
- Company: Innovative Belfast-based tech company with a focus on Data Science.
- Benefits: Hybrid working, competitive salary, and a culture that values mentorship.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in AI solutions and shape technical strategy.
- Qualifications: Strong experience in Data Science, leadership skills, and proficiency in Python or R.
The predicted salary is between 60000 - 80000 £ per year.
Leadership role blending hands-on data science with team management. Deliver advanced AI, ML and analytics projects across a diverse client base. Belfast-based, hybrid working.
About the Company
Our client is an innovative Belfast-based technology business with a growing Data Science capability. They work across a diverse client portfolio, delivering advanced analytics and AI solutions to real-world business challenges. With a collaborative, people-focused culture and a clear ambition to scale their Data Science function, this is a business where technical leaders can make a genuine impact.
The Role
This is a senior leadership position for an experienced Data Scientist who wants to combine technical delivery with people development and client engagement. You will lead complex AI and machine learning engagements from end to end, while also coaching and growing a team of Data Scientists. Working closely with customers to shape solutions and influence technical strategy, this role suits someone who thrives equally in the weeds of a data problem and in front of a client.
Key Responsibilities
- Lead the delivery of advanced analytics, machine learning and AI projects across multiple client engagements.
- Work directly with clients to understand business challenges and design effective, scalable solutions.
- Provide technical leadership and strategic direction across concurrent workstreams.
- Mentor and coach Data Scientists, supporting their professional growth and development.
- Contribute to solution design, project planning and the preparation of customer proposals.
- Drive continuous improvement in tools, methodologies and delivery standards across the team.
- Own and maintain best practice frameworks for Data Science delivery.
What You'll Need
Essential:
- Strong commercial experience delivering Data Science and AI solutions in a professional environment.
- Proven track record leading projects, teams or technical workstreams.
- Proficiency in Python or R, alongside SQL.
- Hands-on experience applying machine learning techniques to real-world business problems.
- Strong stakeholder management and communication skills.
- A collaborative mindset with a genuine commitment to developing others.
- UK work authorisation.
Desirable:
- Experience with Generative AI, NLP, Computer Vision or Deep Learning.
- Exposure to cloud platforms and modern MLOps practices.
- MSc or PhD in Data Science, Computer Science, Mathematics or a related discipline.
Why Apply?
- Lead high-impact AI and machine learning initiatives across a varied and interesting client base.
- Real influence over technical strategy and best practice at a growing organisation.
- A genuine blend of technical, client-facing and leadership responsibility.
- Mentorship and development culture where your investment in others is valued.
- Hybrid working from a Belfast base.
- Collaborative, people-focused team environment.
Skills: Python, SQL, AWS, Azure, Machine Learning, Data Science.
Benefits: Work From Home.
Lead Data Scientist (f/m/d) in Belfast employer: Ocho
Our client is an exceptional employer, offering a dynamic and collaborative work environment in Belfast that fosters innovation and professional growth. With a strong focus on mentorship and team development, employees are empowered to lead impactful AI and machine learning projects while enjoying the flexibility of hybrid working. This is a unique opportunity to influence technical strategy and contribute to a thriving Data Science function within a supportive and people-centric culture.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (f/m/d) in Belfast
✨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 Ocho!
✨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 Lead Data Scientist (f/m/d) at Ocho.
✨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 Ocho.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist (f/m/d) at Ocho, 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 Lead Data Scientist (f/m/d) in Belfast
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 Ocho, 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 Ocho. 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 Ocho
✨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 Ocho!
✨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.
