At a Glance
- Tasks: As a Data Scientist, solve business challenges using data and innovative methodologies.
- Company: Kyndryl designs and modernises critical technology systems for a more equitable world.
- Benefits: Enjoy flexible work options, learning opportunities, and access to top certifications.
- Why this job: Join a culture of innovation and inclusivity while making a real impact with data.
- Qualifications: Up to 2 years of experience with modelling tools and programming languages like Python.
- Other info: Diversity is celebrated here; bring your whole self to work!
The predicted salary is between 36000 - 60000 £ per year.
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Skills and Experience- Up to 2 years knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
- Excellent problem-solving, analytical, and critical thinking skills
- Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
- Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
- Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
- Professional certification, e.g., Open Certified Data Scientist
- Cloud platform certification, e.g., AWS Certified Machine Learning– Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
- Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
- Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Data Scientist, Manchester employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Manchester
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure ML and Python. Having hands-on experience or projects that showcase your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss real-world applications of data science in business contexts. Think of examples where you've used data to solve problems or improve processes, as this aligns with Kyndryl's focus on transforming business challenges into data solutions.
✨Tip Number 3
Showcase your communication skills by practising how to explain complex data insights to both technical and non-technical audiences. This is crucial for a Data Scientist role, as you'll need to bridge the gap between data and business stakeholders.
✨Tip Number 4
Research Kyndryl's values and culture, particularly their commitment to diversity and inclusion. Be prepared to discuss how your personal values align with theirs, as cultural fit is often just as important as technical skills in the hiring process.
We think you need these skills to ace Data Scientist, Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role at Kyndryl. Emphasise your knowledge of modelling tools, programming languages, and any specific projects that showcase your problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in data science can contribute to Kyndryl's mission and mention specific experiences that demonstrate your analytical and critical thinking skills.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe the challenges you faced, the methodologies you used, and the outcomes. This will help illustrate your practical experience and problem-solving capabilities.
Highlight Soft Skills: Kyndryl values communication and teamwork. Make sure to highlight your ability to convey complex data insights to both technical and non-technical audiences, as well as your experience managing multiple projects while maintaining attention to detail.
How to prepare for a job interview at TN United Kingdom
✨Understand the Role
Before your interview, make sure you thoroughly understand the responsibilities of a Data Scientist at Kyndryl. Familiarise yourself with how data science can solve business problems and be prepared to discuss specific methodologies and tools you have used in the past.
✨Showcase Your Problem-Solving Skills
Be ready to demonstrate your analytical thinking and problem-solving abilities. Prepare examples from your previous experience where you tackled complex data challenges, highlighting the methods you used and the outcomes achieved.
✨Communicate Clearly
Since you'll need to convey complex data insights to both technical and non-technical audiences, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between data and business needs.
✨Emphasise Your Growth Mindset
Kyndryl values a growth mindset, so be prepared to discuss how you approach personal and professional development. Share examples of how you've sought out learning opportunities or adapted to new challenges in your career.