Data Scientist

About our business

JLA is a mission critical infrastructure solutions business offering services Laundry, Catering, Heating, Fire Safety, Infection Control and Air Conditioning.

The company offers an end-to-end, on premise, machine supply and breakdown service proposition under the name Total Care, and additional products and services. JLA is driven by a world class Sales & Marketing engine, owns and maintains all assets, and has an efficient on-site operations team working with daily with customers.

About the role

Working as part of the Technology Data and Analytics team, the Data Scientist plays a pivotal role in analysing complex data sets and developing machine learning models.

You will work closely with functional teams across the business to uncover insights and deliver data-driven solutions to maximise the value we generate from our data. Your knowledge of data engineering will be essential in ensuring the integrity and accessibility of our data.

Responsibilities include:

• Manage and lead on key strategic data projects and initiatives across the business, including communicating findings and recommendations to senior stakeholders in a clear and actionable manner.
• Lead the development, implementation and optimisation of predictive models across different business areas to turn data in actionable insights.
• Analyse complex datasets, including IoT telemetry, sales and customer service data, to develop new insights and understanding from our digital platforms and connected assets.
• Provide ad hoc analysis to support strategic and tactical initiatives of the business providing the right structure and direction.
• Collaborate with data engineering teams to ensure data quality and availability.
• Stay current with industry trends and advancements in data science and engineering.
• Support & mentor more junior members of the team developing on both technical & non-technical skillsets.

Qualifications & Experience:

• BSc in Data Science, Computer Science, Statistics, Engineering or a related field (Master’s preferred).
• A minimum of 5 years’ experience as a Data Analyst.
• Proven experience in the design, coding, and deployment of machine learning project pipelines from start to finish.
• Advanced level of experience with Python and SQL.
• Experience with data and machine learning related Python libraries, e.g. NumPy, pandas, SciPy, Matplotlib, Seaborn, sklearn, tensorflow
• Familiarity with data visualisation toolsets, e.g. PowerBI .
• Experience with data engineering processes and tools, e.g., ETL processes, data warehousing.
• Experience of working with cloud technologies, ideally Azure.
• Experience with B2B businesses using IoT connected assets would be advantageous.
• Enthusiasm and the ability to drive projects towards completion in a complex business environment.
• Excellent communication and collaboration abilities.

We are looking for:

• A resilient problem solver: sees opportunities where others see challenges.
• An agile innovator: takes the initiative & adapts.
• A good communicator: able to explain complex concepts to an audience.
• A critical thinker: able to translate complicated problems into simple solutions.
• A keen collaborator: works well with stakeholders across the business.

When you join the JLA family, you'll also gain access to an extensive benefits package.

We care about our people and take your well-being seriously, which is why we offer a range of supportive tools for health and wellbeing, financial guidance, and legal advice. Our Employee Assistance Programme, 24/7 Wellness and Lifestyle App plus a dedicated team of Mental Health First Aiders are there to support you through life's challenges. We also offer up to 8 counseling sessions, which can be in-person or remote, providing you with the support and flexibility to suit your own personal needs. You can reach any fitness goals with our free onsite gym at head office along with a range of other gym membership discounts available.

To offer financial support, we not only provide life assurance coverage, company sick pay, and a company pension scheme, we offer a range of added benefits such as free office parking, eye care vouchers, a cycle-to-work scheme, and exclusive discounts through our staff benefits hub.

We really pride ourselves in offering a healthy work-life balance and believe it is important to have time away to recharge which is why we provide 25 days of annual leave plus bank holidays, flexible working options, and enhanced family leave policies.

We are a company that appreciates you and invests in your success and even have a Colleague Recognition Scheme to celebrate your achievements. We're dedicated to your growth, offering support in career development and training. We value your referrals, and through our Refer a Friend scheme, you can earn up to £1,000 in bonus rewards