Data Scientist; Public sector

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 at IBM CIC offers the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for innovative and valuable companies. Your ability to accelerate impact and make meaningful change is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio.

Curiosity and a constant quest for knowledge are foundational to success here, with encouragement to challenge the norm, investigate ideas outside of your role, and develop creative solutions that impact a broad network of clients at their sites or at CIC or IBM locations. Our culture focuses on long-term career growth and development opportunities in an environment that values your unique skills and experience.

• 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 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 policies, processes and Employee Champion networks
• A culture where ideas for growth and innovation are always welcome
• Internal recognition programs for peer-to-peer appreciation as well as manager-to-employee recognition
• Tools and policies to support work-life balance, including flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
• Traditional benefits such as 25 days holiday (plus public holidays), online shopping discounts, an Employee Assistance Program, and a group personal pension plan funded by us at 5% of base salary

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 will drive data-driven decision-making, optimize business processes, and foster 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 begin an exciting journey in Advanced Analytics.

• 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

Preferred Education
Bachelor's Degree

• 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 the public sector
• Extensive experience with Power
  
  BI, Python and 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 optimization
• Web-based analytics tools — Adobe Analytics
• Exposure to data lake functionality and architecture (strong relational database skills are a plus)
• Crucial baseline: handling large data volumes (e.g., >5 million rows)
• SQL

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. We do not offer visa sponsorship and have no plans to do so. You must be a resident in the UK and have lived continuously in the UK for the last 5 years.

You must be able to hold or gain a UK government security clearance.

• Experience with machine learning frameworks (Tensor Flow, 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