STEM Graduates - Modelling & Analyst Role (Hybrid)

Are you a Mathematics/Data Science/ STEM graduate who is looking for an entry level Analyst, Modelling & Statistical Analysis role where you can grow, develop and progress? Where you will be working in a team of high calibre peers and inspirational mentors who will challenge and support you as you develop? 

Our client, one of the North's most progressive and people-first employers is a large scale organisation who are growing both organically and via acquisition. As part of these growth plans our client is seeking STEM graduate, entry level candidates to join their high profile decision science team. This role is a hybrid role and with an expectation to be in the Leeds office approximately once a week.

If you are experienced in modelling and/ or statistical analysis and you are looking for your first/entry level career move and you enjoy collaborating with teams in a creative environment and you are passionate about your professional and personal development - this could be the opportunity for you.

Responsibilities in this role include:

• Working with your team to support the wider business and business objectives by building and maintaining predictive models and using statistical and machine learning methodologies
• Working closely with other members of the team to build upon existing machine learning knowledge
• Presenting analysis to your team

Skills and experience required:

• A degree in STEM - Mathematics/Data Science for example
• Modelling/ statistical analysis knowledge

Package on offer

• Basic starting salary of £30,000
• Annual bonus
• Life assurance, Private Medical Assurance & Group income protection.
• 28 days holiday + bank holidays
• Flexible benefits package (extra cash/additional holiday purchase/pension)

If this sounds like the role for you, please apply today, or contact me, ZOE SHEEN today on 07939 854 989 quoting 'CareersinAudit.com'.

NOTE: UNFORTUANTELY OUR CLIENT IS NOT IN A POSITION TO OFFER VISA SPONSORSHIP SO PLEASE BE MINDFUL OF THIS BEFORE APPLYING. Thank you.