At a Glance
- Tasks: Lead a dynamic Data Science team, driving innovation with AI/ML solutions.
- Company: Join FinTrU, an award-winning RegTech/FinTech company transforming financial services.
- Benefits: Enjoy hybrid working, industry-leading health policies, and unique sabbatical opportunities.
- Why this job: Make a real impact by mentoring teams and developing cutting-edge machine learning models.
- Qualifications: 10+ years in data science, with strong leadership and programming skills.
- Other info: Embrace a culture of diversity, continuous learning, and career growth.
The predicted salary is between 43200 - 72000 Β£ per year.
Location
Derry/Londonderry
Overview of Role
We are looking for an experienced Principal Machine Learning Scientist to join our Data Science team on a permanent basis, based FinTrU\βs offices in Derry/Londonderry. This is an exciting opportunity to be part of an exciting team using AI/ML principles and practices, driving innovation and delivering actionable insights that support our business objectives.
About FinTrU
FinTrU is an award-winning RegTech/FinTech company, creating technology-enabled solutions for leading global financial institutions. Across our UK and EU offices, we deliver the highest standard of service to both our clients and our 1400 employees. Our philosophy of continued learning and development, an unwavering commitment to diversity β in all its forms β and our culture continue to make us a workplace of choice.
Job Details
You should apply if you have:
- Minimum of 10 years in Data science/AI roles, with at least 5 years in a leadership position.
- Proficiency in programming languages such as Python, R, and SQL.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g. scikit-learn, Theano), demonstrating technical capability to build, optimise, and deploy AI models.
- Strong aptitude for analysing complex data sets and derive actionable insights using advanced ML/AI techniques. This includes proficiency in developing, training, and optimising models to uncover patterns, predict outcomes, and drive strategic decisions.
- Proven ability to lead, mentor, and inspire teams while fostering a culture of innovation, experimentation, and continuous improvement.
This is an opportunity to work on:
- You will Lead and mentor the Data Science team, fostering a culture of innovation and continuous improvement by encouraging rapid experimentation and the development of proof of concepts (POCs) to explore new ideas and validate emerging technologies with a fail-fast mentality.
- Collaborate with stakeholders to develop, prioritise and implement data science strategies and roadmap that align with business objectives.
- Oversee the design, development, and deployment of machine learning models and algorithms.
- Collaborate with Product Management and Engineering teams plus other departments to identify data-driven opportunities and solutions.
The full job description can be viewed here
We reserve the right to enhance or amend the shortlisting criteria at any time during the process
Please note this role is Hybrid working, the successful candidate will currently be required to be in the office 2 days per week. For this reason we are not considering fully remote applications, or those based beyond a reasonable commute to the office in Derry.
This requisition is only for those resident, or seeking to be resident, in Northern Ireland. If you are based in Republic of Ireland, please apply to the vacancy for Letterkenny
#FinTrUNI
Experience Level
More than 9 years
Employment Type
Full Time
Duration
Permanent
Benefits
- Hybrid working model [opportunity to avail of WFH furniture for your home office]
- Industry-leading, family-focused policies
- Progressive health & wellbeing policies
- Industry-leading learning & development strategy
- Diverse and inclusive social and cultural calendar
- Innovative sabbatical policies, including \βFinTrU Unplugged\β [a 4-week paid sabbatical]
Compensation Summary
Annual salary review
Discretionary performance-related bonus scheme
To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.
#J-18808-Ljbffr
Principal Machine Learning Scientist - Derry/Londonderry employer: FinTrU LTD
Contact Detail:
FinTrU LTD Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Principal Machine Learning Scientist - Derry/Londonderry
β¨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI and machine learning. You never know who might have a lead on your dream job or can introduce you to someone at FinTrU.
β¨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in data science. Whether it's a GitHub repo or a personal website, make sure it highlights your proficiency in Python, R, and machine learning frameworks. This will give you an edge when you apply through our website!
β¨Prepare for the Interview
Brush up on your technical skills and be ready to discuss your experience leading teams and driving innovation. Practice common interview questions and think about how you can demonstrate your ability to mentor others and foster a culture of experimentation.
β¨Follow Up After Applying
Once you've submitted your application through our website, don't hesitate to follow up! A quick email expressing your enthusiasm for the role can help keep you on the radar of the hiring team at FinTrU.
We think you need these skills to ace Principal Machine Learning Scientist - Derry/Londonderry
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Principal Machine Learning Scientist role. Highlight your experience in data science and leadership, and donβt forget to mention your proficiency in Python, R, and SQL. We want to see how your skills align with what weβre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why youβre passionate about AI/ML and how you can contribute to our team. Share specific examples of your past successes and how they relate to the role. We love a good story!
Showcase Your Projects: If youβve worked on any interesting machine learning projects, make sure to include them in your application. Whether itβs a POC or a full-scale deployment, we want to see your hands-on experience and how youβve driven innovation in your previous roles.
Apply Through Our Website: Donβt forget to apply through our careers page! Itβs the best way to ensure your application gets to us directly. Plus, it shows youβre serious about joining our awesome team at FinTrU. We canβt wait to hear from you!
How to prepare for a job interview at FinTrU LTD
β¨Know Your Tech Inside Out
Make sure youβre well-versed in the programming languages and machine learning frameworks mentioned in the job description. Brush up on Python, R, SQL, TensorFlow, and PyTorch. Be ready to discuss your past projects and how youβve used these tools to solve complex problems.
β¨Showcase Your Leadership Skills
As a Principal Machine Learning Scientist, you'll need to lead and inspire a team. Prepare examples of how you've mentored others and fostered innovation in previous roles. Highlight any initiatives you've taken to encourage experimentation and continuous improvement within your teams.
β¨Understand the Business Context
Familiarise yourself with FinTrUβs mission and the financial sector's challenges. Think about how your expertise in AI/ML can drive strategic decisions and deliver actionable insights that align with their business objectives. This will show that youβre not just a tech whiz but also a valuable asset to their goals.
β¨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world data challenges. Practice articulating your thought process when developing, training, and optimising models. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.