Data Team Leader at NECSWS

Hemel Hempstead, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Team Leadership, R Programming, SQL, Data Cleansing, Statistical Analysis, Predictive Modelling, Survival Analysis, Azure, Data Visualization, Machine Learning, Project Prioritization, Stakeholder Management

Industry

IT Services and IT Consulting

Description

Company Description Come join us and make a difference in the world! Discover more at www.necsws.com Job Description Please note this role has the flexibility to be hybrid working or fully remote based on your location. Working within the Healthcare (registries) division of NEC Software Solutions you will oversee a team of data scientists and data analysts (DSA) who’s duties feature a mix of maintaining existing applications, regular and bespoke report generation, dashboard creation, documenting code bases, cleansing datasets, identifying data quality issues in large databases and support the analytical requirements of clinical steering committees. Your primary responsibilities will be to manage the workload of the team, identify opportunities for team members to upskill, coordinate/standardise the production of reports, contribute to the statistical oversight and data efficacy boards, explore new opportunities for the application of machine learning and advanced statistical methodologies to health data and support the development of the DSA team. The focus of your work will be on data that is held in clinical registries relating to various performance outcomes for patients who have undergone surgical or medical interventions. This role involves working closely with the data science and analytics team, as well as clinicians, to develop new registries and health data reporting procedures to support the work of the NHS and private UK healthcare providers. This role has the flexibility to be hybrid working or fully remote based on your location and may require occasional trips to the head office in Hemel Hempstead or other NEC/NHSE locations in the UK to facilitate in-person meetings. Key responsibilities include: Oversee a team of data scientists and data analysts Prioritise and schedule the competing workloads of the team to meet delivery timelines Lead regular update and 1-to-1 meetings with team members Liaise with industry and academic partners to align and improve our statistical methodology and reporting strategy Identify and provide appropriate training opportunities for members of the data science and analytics team Explore real-world-evidence data sets for registry-specific analytical opportunities Coordinate and assist with the generation of regularly scheduled and bespoke reports, including the plotting of charts using standard libraries Take charge of data cleansing, quality assurance and supporting integration. Contribute ideas to improve productivity and delivery. Liaise with members of the data quality, development, business analyst and business consultant teams to deliver collaborative outputs Build an extensive clinical knowledge base through meeting regularly with clinical steering committees Work closely with clinicians to understand and support their reporting and analytical needs Qualifications Mandatory qualifications and experience: A postgraduate degree in computer science, statistics, biology or a related quantitative discipline. Expert R (R Studio) programming skills for manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling Experience leading a team of data scientists or analysts Proficiency with SQL (Azure) for data manipulation, extract creation and aggregation of data from disparate sources Proven experience cleansing, processing and managing large data sets Proven experience responding creatively to analytical briefs Experience with data warehouses and open database connectivity Statistical expertise (including survival analysis and predictive modelling) The ability to deliver under pressure and without regular supervision Proven problem-solving skills and ability to work to deadlines Self-motivation and a flexible approach to work The ability to thrive in a collaborative team environment Desirable qualifications and experience: Experience working with health data including clinical data registries Experience working with ‘unclean’ data and free text An interest in the application of machine learning, NLP and AI to solve problems related to health data and patient safety Experience using Snowflake/DBT Prompt Engineering for Github Copilot or equivalent Additional Information We pride ourselves in offering an excellent benefits package, including an above average pension scheme. When you join the team at NEC Software Solutions, you are provided with the following: Private Medical Cover funded by NEC for Employees (with the option to add family members at an additional cost) 25 days paid holiday with the option to buy/sell 4 x basic salary life assurance cover funded by NEC (with the option to increase cover at an additional cost) A Group Pension Plan with fantastic employer contributions up to a maximum of 8.5% A selection of flexible benefits to suit your individual needs Candidates must be able to demonstrate a pre-existing right to work and travel within the UK. Documentary evidence will be required. All offers are subject to satisfactory vetting and reference checks. Depending on the nature of the role a Disclosure Barring Service (DBS) check may also be required. NEC Software Solutions is an equal opportunities employer, welcoming applications from all communities. If you require any reasonable adjustments or have specific accessibility needs during the recruitment or interview process, please feel free to share these with us. We are committed to ensuring an inclusive and accommodating experience for all candidates. Candidates must be able to demonstrate a pre-existing right to work and travel within the UK. Documentary evidence will be required. All offers are subject to satisfactory vetting and reference checks. This role will require UK Security Clearance. NEC Software Solutions is an equal opportunities employer, welcoming applications from all communities. If you require any reasonable adjustments or have specific accessibility needs during the recruitment or interview process, please feel free to share these with us. We are committed to ensuring an inclusive and accommodating experience for all candidates. Who We Are: We’re NEC Software Solutions (part of global tech giant NEC Corporation). While you read this ad, our software is helping to dispatch ambulances, support families, keep trains on the move, locate missing people and even test the hearing of newborn babies. Working with us, you’ll be helping our 3,000+ employees push the boundaries of what’s possible and support amazing public services. We work with governments, hospitals, police forces, housing providers, local authorities and more. We help them pay financial support faster, speed up treatments for patients and respond to emergencies in the right way. The more we do, the more our customers can do for others. And together, we make a world of difference. We’d love your help. And we’ll support you all the way. NEC’s Healthcare division specialises in medical registries and health screening. The company’s software has been used to screen millions of babies for hearing loss and other inherited conditions. It also supports national and local diabetic eye screening programmes. NEC is the largest clinical registry supplier in the UK and its customers include NHS England’s UK-wide Outcomes and Registries Programme (which will become one of the largest clinical registries in the world), as well as specialist registries such as for robotic and spinal surgery.

Responsibilities

Oversee a team of data scientists and analysts to maintain clinical registries and generate bespoke health data reports. Coordinate workloads, lead team development, and collaborate with clinicians to improve statistical methodologies and data efficacy.