At a Glance
- Tasks: Develop AI/ML models to solve real business challenges and create impactful insights.
- Company: Join a forward-thinking company through the Mid-Level Accelerator programme.
- Benefits: Enjoy free learning, competitive salary, and opportunities for career advancement.
- Other info: Gain technical leadership skills and work on inclusive product development.
- Why this job: Make a difference in AI while growing your skills in a dynamic environment.
- Qualifications: 1.5+ years in Software or Data Engineering with Python, Java, or JavaScript.
The predicted salary is between 50000 - 70000 £ per year.
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: CodeFirstGirls
Join a forward-thinking company in Manchester as a Senior Data Scientist, where you'll have the opportunity to work on cutting-edge AI/ML projects that make a real impact. With a strong emphasis on continuous learning and professional development through our Mid-Level Accelerator programme, you will enjoy a collaborative work culture that values innovation and inclusivity. Benefit from competitive perks and the chance to contribute to meaningful advancements in technology while growing 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 people in the industry. Attend meetups, webinars, or even local events in Manchester. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those that align with the role of a Senior Data Scientist. Share it on platforms like GitHub or LinkedIn to grab the attention of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities linked to our Mid-Level Accelerator programme. It’s a great way to get your foot in the door while also benefiting from free learning resources.
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 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 CodeFirstGirls
✨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. Show them you’re not just familiar with the theory but have practical experience that can solve real business problems.
✨Prepare for Technical Questions
Expect some deep dives into your technical skills, particularly in Python, Java, or JavaScript. Practice explaining your thought process when developing models or conducting analyses. They’ll want to see how you approach problem-solving and decision-making.
✨Showcase Your Collaboration Skills
Since this role involves working with SMEs and other team members, be prepared to share examples of how you’ve successfully collaborated in the past. Highlight any leadership experiences where you took initiative and drove projects forward.
✨Bring Your Curiosity
Demonstrate your passion for continuous learning and staying updated with industry trends. Share insights from recent articles or conferences you’ve attended. This shows you’re proactive and genuinely interested in growing within the field.
