Data Scientist

Shaw
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Production

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

Are you an experienced Data Scientist, who is looking to work in a fast paced, global, market leading company?

Here at Innovative Technology, we have an excellent opportunity for a Data Scientist, to join our talented team at our head office in Oldham, Greater Manchester.

The Data Scientist, role overview:

We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning to join our dynamic team. In this role, you will be responsible for developing and implementing deep learning models to extract valuable insights from vast amounts of data. You will work closely with cross-functional teams to drive data-driven decision-making and create impactful solutions. 

Your Responsibilities as a Data Scientist:

Develop, implement, and optimize deep learning models for image classification problems 

Collaborate with a co-located team of Software Engineers to ensure seamless integration of models into production environments. 

Conduct exploratory data analysis, data preprocessing, feature engineering to uncover insights and guide model development. 

Stay up-to-date with the latest advancements in deep learning and AI technologies and apply them to real-world problems. 

Communicate complex technical concepts and results to non-technical stakeholders effectively. 

Participate in code reviews, model evaluations, and continuous improvement processes to maintain high-quality deliverables. 

Skills and experience we are looking for in our Data Scientist:

Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is desirable. An excellent degree from a well-established University will be considered. 

Understanding of the mathematics of CNNs and GANs essential, or other advanced deep learning techniques.

Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, Keras, or similar. 

Strong proficiency in programming in Python. 

Excellent problem-solving skills and the ability to work independently as well as in a team. 

Strong communication skills with the ability to explain technical concepts to diverse audiences. 

Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) preferable.

Your Package & Perks:

A competitive salary

Flexible working hours  

32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year

Enhanced maternity/paternity/adoption leave & pay

Enhanced Pension Contribution

Healthcare Insurance (including dental)

Wellbeing support

Life Insurance

Income Protection Insurance

Educational Sponsorship

Electric Car Scheme   

Free secure parking

Onsite electric car charging points

Staff car workshop     

Free onsite modern gym

Cycle to Work Scheme

Informal dress code     

Paid breaks, with free hot premium drinks

We’re Innovative…

Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 150 based from our state-of-the-art R&D hub.

From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world’s leading companies.

By being true to our values of Innovation, Collaboration, Respect and Drive we’ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You’ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links.

We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application.

What’s next?

If you’re an experienced Data Scientist and want to join our award-winning team working on the latest cutting-edge technology, we want to hear from you

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.