At a Glance
- Tasks: Develop AI/ML models and collaborate on impactful business solutions.
- Company: Join a dynamic team through our Mid-Level Accelerator programme.
- Benefits: 100% free training with potential job placement and competitive benefits.
- Other info: Gain T-shaped skills and technical leadership in an inclusive environment.
- Why this job: Make a real impact in AI while advancing your career in tech.
- Qualifications: 1.5+ years in Software or Data Engineering, Python, Java, or JavaScript.
The predicted salary is between 50000 - 70000 £ per year.
This is a free 16 week training course followed by the potential for a role with one of our clients.
Step into a role as a Senior Data Scientist with one of our clients through the Mid-Level Accelerator programme.
The role: In this role, you’ll make an impact in the following ways:
- Develop AI/ML and Generative AI / LLM models to address challenging and impactful business problems, from proofs of concept to production-level deliverables, and produce thorough model evaluation and documentation to support decision-making and assess model risk.
- Write patents and academic papers, with a focus on top-tier AI conferences and journals.
- Define, create, and maintain actionable insights using data science and statistical analysis. Prepare analyses to provide business decision-supporting facts.
- Thoroughly evaluate solutions and produce supporting documentation; assess results to ensure accurate business decision-supporting information.
- Collaborate with colleagues and subject matter experts (SMEs) to obtain data and domain knowledge needed to conduct advanced analytics.
- Continuously grow and develop skills across AI/ML and GenAI and increase business acumen.
- Stay highly up to date with the latest advances in AI/GenAI, technology innovations, and banking industry trends. Share findings with the team, recommend areas for improvement, and promote adoption of AI tools and platforms.
- Be proactive and autonomous in solving problems, demonstrating a strong sense of ownership and urgency.
- Demonstrate leadership skills and ownership by taking initiative, making progress through teamwork and stakeholder engagement.
From free learning to a linked job role, our Mid-Level Accelerator programme with a linked job role is perfect for those who have 1.5+ years of experience in Software or Data Engineering (Python), Java or JavaScript and are looking to progress their career and move into a Mid-Level technical role with a new and exciting opportunity with one of our clients.
SKILLS YOU'LL DEVELOP
- T-Shaped Skill Set: become the go-to person for your technical specialism in addition to building on your collaborative skills to understand and empathise with other tech roles and stakeholders.
- Technical Leadership: you'll develop your technical professional skills across mentoring, teamwork, stakeholder communication, and technical decision-making to put you on the pathway to senior individual contributor or technical management roles.
- Agility & Automation: taking part in modern software development process, you'll further develop your Agile, DevOps and automation skills, deploying to the cloud.
- Innovation & Inclusive products: by building products with DE&I at the core, you will further harness additional techniques in the software development process to foster the development of inclusive products.
100% FREE LEARNING LINKED TO JOB ROLES: Just like all of our courses, the Mid-Level Accelerator is 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners.
Benefits - vary per client, but are competitive.
Senior Data Scientist in Manchester employer: Code First Girls
Join a forward-thinking organisation in Manchester that prioritises employee growth and innovation through its Mid-Level Accelerator programme. As a Senior Data Scientist, you'll benefit from a collaborative work culture that encourages continuous learning and development, while also having the opportunity to contribute to impactful AI projects. With competitive benefits and a commitment to diversity and inclusion, this role offers a unique chance to advance your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects and any cool stuff you've built. We want to see your work in action, so make sure it’s easy to find and highlights your best achievements.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or mentors to get comfortable talking about your experience and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by our clients. Plus, we’re here to support you every step of the way as you transition into that exciting new role.
We think you need these skills to ace Senior Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI/ML and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any specific skills or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any interesting data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve AI/ML or Generative AI!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Code First Girls
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss specific models you've worked on, especially in Generative AI or LLMs. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business problems using data science. Highlight your thought process, the tools you used, and the impact of your solutions. This will demonstrate your ability to take ownership and urgency in your work.
✨Collaboration is Key
Since the role involves working with SMEs and other team members, be ready to talk about your collaborative experiences. Share instances where teamwork led to successful outcomes, and emphasise your communication skills.
✨Stay Curious and Up-to-Date
Show your passion for continuous learning by discussing recent advancements in AI/GenAI that excite you. Mention any relevant conferences or papers you've followed, as this reflects your commitment to staying ahead in the field.
