Data Scientist (Public sector)
Data Scientist (Public sector)

Data Scientist (Public sector)

Leicester Full-Time 36000 - 60000 £ / year (est.) No home office possible
IBM

At a Glance

  • Tasks: Lead data-driven solutions and develop predictive models for the public sector.
  • Company: Join IBM Consulting, a leader in tech innovation and collaboration.
  • Benefits: Competitive salary, career growth, and a culture of continuous learning.
  • Why this job: Make a real impact using data to solve complex public sector challenges.
  • Qualifications: Master's degree and 4+ years in data science, preferably in the public sector.
  • Other info: Diverse and inclusive environment with opportunities for mentorship and development.

The predicted salary is between 36000 - 60000 £ per year.

Overview 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, whom 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 process 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, optimizing 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 optimization. Apply today and embark on an exciting journey in Advanced Analytics!
Responsibilities Lead the development of predictive models and data-driven solutions for business optimization.
Collaborate with cross-functional teams to integrate data-driven insights into business strategies.
Utilize optimization 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.
Education Preferred Education: Bachelor\\\’s Degree
Required Technical And Professional Expertise Experience of working with Generative AI models
Knowldege of cloud services – ideally AWS and/or Azure
Strong communication skills and ability to work as part of a multidisciplanry team
Ideally have experience working in public sector
Extensive experience with PowerBI, Python and SQL, Databricks
Experience working iwith 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 optimization.
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
Employment and Eligibility As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you 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.
Sign-off This description is based on the current job posting and does not imply any guarantees of employment.
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Data Scientist (Public sector) employer: IBM

IBM Consulting is an exceptional employer that fosters a culture of curiosity and collaboration, empowering data scientists to make a meaningful impact in the public sector. With a strong emphasis on career growth, mentorship, and continuous learning, employees are encouraged to innovate and challenge the status quo while working with cutting-edge technology. Located in a dynamic environment, IBM offers unique opportunities to engage with diverse clients and contribute to transformative projects that drive efficiency and innovation.
IBM

Contact Detail:

IBM Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist (Public sector)

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even local events related to data science. You never know who might have a lead on your dream job or can offer valuable insights.

✨Show Off Your Skills

Create a portfolio showcasing your projects and achievements. Use platforms like GitHub to share your code and visualisations. This is your chance to demonstrate your expertise and creativity to potential employers!

✨Ace the Interview

Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past experiences and how they relate to the role. Remember, it’s not just about technical skills; show your passion for solving real-world problems!

✨Apply Through Our Website

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities tailored to your skills and interests right there.

We think you need these skills to ace Data Scientist (Public sector)

Statistical Modeling
Machine Learning Techniques
Data Analysis
Python
R
SQL
Jupyter Notebooks
TensorFlow
PyTorch
Big Data Platforms (Hadoop, Spark)
Cloud Environments (AWS, GCP, Azure)
Data Visualization
Problem-Solving Abilities
Attention to Detail
Understanding of Government Data Privacy Policies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role in the public sector. Highlight your relevant experience, especially any work with government agencies or public sector projects. We want to see how your skills align with the job description!

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 make a difference in the public sector. Don’t forget to mention specific projects or experiences that relate to the role.

Showcase Your Technical Skills: Be sure to list your technical skills prominently, especially those mentioned in the job description like Python, R, and machine learning techniques. We love seeing candidates who are up-to-date with the latest tools and methodologies!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at IBM

✨Know Your Data Science Fundamentals

Make sure you brush up on your statistics, machine learning, and data analysis skills. Be ready to discuss specific techniques you've used in the public sector and how they’ve made an impact. This will show that you not only understand the theory but can apply it effectively.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex challenges you've tackled in previous roles. Highlight your thought process and the data-driven solutions you implemented. This will demonstrate your ability to think critically and creatively, which is key for a data scientist in the public sector.

✨Communicate Clearly and Effectively

Practice explaining your findings and methodologies in simple terms. You’ll likely be presenting to both technical and non-technical stakeholders, so being able to communicate insights clearly is crucial. Use visuals if possible to make your points more impactful.

✨Stay Current with Industry Trends

Familiarise yourself with the latest advancements in data science, machine learning, and AI. Be prepared to discuss how you would integrate new methodologies into your work. This shows your commitment to continuous learning and innovation, which aligns with the company’s culture.

Data Scientist (Public sector)
IBM
Location: Leicester

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