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- Tasks: Design and develop AI solutions using cutting-edge technologies to drive meaningful business change.
- Company: Join IBM CIC, a leader in tech innovation for public and private sectors.
- Benefits: Flexible working, training opportunities, 25 days holiday, and health benefits.
- Why this job: Make an impact with AI while growing your career in a supportive environment.
- Qualifications: Strong Python skills and experience with AI frameworks required.
- Other info: Diverse teams, mentorship, and a culture that values your unique skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Data Scientist (Public sector) role at IBM.
Introduction
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.
We Offer
- Many training opportunities from classroom to e‑learning, mentoring and coaching programs and the chance to gain industry recognized certifications
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
- Feedback and checkpoints throughout the year
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and processes as well as our Employee Champion teams and support networks
- A culture where your ideas for growth and innovation are always welcome
- Internal recognition programs for peer‑to‑peer appreciation as well as from manager to employees
- Tools and policies to support your work‑life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Your Role And Responsibilities
Embark on an exciting career path as a Senior Data Scientist and lead the way in leveraging deep data and analytics expertise to address business challenges. In this role, you’ll be responsible for driving data‑driven decision‑making, optimising business processes, and fostering a culture of innovation.
Join our AI Analytics & Data Science team and make a significant impact on data‑driven decision‑making and business optimisation.
Responsibilities
- Lead the development of predictive models and data‑driven solutions for business optimisation.
- Collaborate with cross‑functional teams to integrate data‑driven insights into business strategies.
- Utilise optimisation tools (IBM CPLEX, Gurobi) and statistical analysis packages (SPSS, SAS, R, Python) to derive actionable insights.
- Stay up to date with emerging data science trends and technologies.
Preferred Education
Bachelor’s Degree
Required Technical And Professional Expertise
- Experience of working with Generative AI models
- Knowledge of cloud services – ideally AWS and/or Azure
- Strong communication skills and ability to work as part of a multidisciplinary team
- Ideally have experience working in public sector
- Extensive experience with PowerBI, Python, SQL, Databricks
- Experience working with data in a product‑based team
- Strong analytical and problem‑solving skills
- Ability to lead cross‑functional teams and manage stakeholder expectations
- Proven track record in driving data‑driven decision‑making and business optimisation
- Web‑based Analytics Tools – Adobe Analytics
- Exposure to Data Lake functionality and architecture (strong relational database skills would be a good alternative)
- Crunching a large volume of data (>5 million rows) would be the minimum baseline for the skills we are looking for
- SQL
Preferred Technical And Professional Experience
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit‑learn)
- Familiarity with cloud platforms (AWS, Azure, Google Cloud)
- Knowledge of big data technologies (Hadoop, Spark)
- Background in supply chain management, pricing, risk assessment, or fraud detection
- Publication record in peer‑reviewed journals or reputable industry publications
As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance.
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Location: Manchester, England, United Kingdom
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Data Scientist (Public sector) employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Public sector)
✨Tip Number 1
Network like a pro! Reach out to current or former IBM employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at IBM CIC. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be working with AI solutions, make sure you can discuss your experience with Python and frameworks like TensorFlow or PyTorch confidently. Practice common data science problems too!
✨Tip Number 3
Show off your curiosity! During interviews, share examples of how you've pursued knowledge in AI and data science. Talk about projects where you’ve used advanced analytics techniques or explored new technologies. It’s all about demonstrating that passion!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at IBM CIC. Let’s get you that dream job!
We think you need these skills to ace Data Scientist (Public sector)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI frameworks 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 express your passion for AI and how you can contribute to our team. Don’t forget to mention your curiosity and desire for continuous learning, as that’s key for us.
Showcase Your Projects: If you've worked on any interesting AI projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share your successes and what you learned along the way!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our culture there!
How to prepare for a job interview at IBM
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the AI frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on your knowledge of foundation models and large language models, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI solutions. Think about how you’ve used advanced analytics techniques, including NLP and ML, to drive decision-making in past projects.
✨Emphasise Collaboration and Mentorship
Since the role involves working with diverse teams and mentoring junior members, be ready to share experiences that highlight your teamwork and leadership skills. Discuss how you’ve contributed to knowledge-sharing and supported others in their growth.
✨Be Curious and Ask Questions
Demonstrate your curiosity by preparing thoughtful questions about the company’s AI projects and culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
