At a Glance
- Tasks: Join a dynamic team to analyse data and deliver impactful insights using Python and SQL.
- Company: TransUnion, a leading global credit reference agency with a focus on innovation.
- Benefits: Enjoy 26 days of annual leave, wellness days, private healthcare, and a generous pension scheme.
- Other info: Flexible working arrangements available; we value diversity and support your growth.
- Why this job: Make a real impact in analytics while growing your skills in a supportive environment.
- Qualifications: Degree in a quantitative field and experience in analytics; Python and SQL skills are essential.
The predicted salary is between 54000 - 66000 £ per year.
TransUnion is a major credit reference agency, offering specialist services in fraud, identity and risk management, automated decisioning, and demographics. We support organisations across various sectors including finance, retail, telecommunications, utilities, gaming, government, and insurance.
We are looking for an Analytical Consultant to join our growing team. Day to day you will:
- Participate in projects with data scientists and solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc).
- Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers.
- Design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, and Spark.
- Foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
Essential Skills & Experience:
- Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, with a consistent track record of academic excellence.
- Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunications.
- Experience and demonstrated success in client-facing roles.
- Strong analytical, critical thinking, and creative problem-solving skills.
- Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools.
- Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organisation; ability to work in a collaborative, fast-paced environment.
Impact You’ll Make:
At TransUnion, you will be joining a friendly, forward-thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams), our benefits package includes:
- 26 days' annual leave + bank holidays (increasing with service)
- Global paid wellness days off + a bonus day off to celebrate your birthday
- A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan
- Private health care + a variety of physical, mental, and financial fitness wellbeing programmes such as access to mindfulness tools
- Access to our diversity forums and communities so you can get involved in causes close to your heart
If there’s something on the list of essential/desirable skills that you can’t quite tick off, don’t let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful.
We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we’ve set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family, and beyond. If the role is advertised as full time, don’t let this stop you from applying. Let us know if you’re looking for a part-time or flexible working arrangement and we can discuss this with you.
At TransUnion, we’re committed to fostering an inclusive and diverse workplace where all individuals' talents and perspectives are valued. When you apply for a position with us, you’re not just joining a team, you’re becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us.
Most of our recruitment processes are virtual, so you’ll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in-person interview, your recruiter will inform you of this.
Find out more about Life At TU UK: this is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Python Consultant (with SQL Database experience) in Leeds employer: Transunion
TransUnion is an exceptional employer that fosters a dynamic work culture in Leeds, where innovation and collaboration thrive. Employees benefit from comprehensive growth opportunities, including professional development and training in cutting-edge technologies like Kubernetes and GCP. With a strong commitment to operational excellence and employee well-being, TransUnion offers a rewarding environment for those looking to make a meaningful impact in the field of cloud-native solutions.
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We think this is how you could land Python Consultant (with SQL Database experience) in Leeds
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We think you need these skills to ace Python Consultant (with SQL Database experience) in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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