Delivery Recruitment Consultant Team Lead

Altrincham
1 week ago
Create job alert

Delivery Consultant Team Lead

Experis delivery is a key part of the ManpowerGroup family, working with some of the biggest brand names around.

With world-class training in advanced techniques, you'll be become a highly skilled professional, equipped to work with some of the world's most prestigious brands.

Why work with us?

Whilst working as a Team Leader, enjoy these perks:

24 days annual leave, plus bank holidays and your birthday
Hybrid working - office and home; early/late starts and finishes to suit you
No sales, cold calling.
Sales Competition monthly and quarterly prize fund for Contract and Permanent
Opportunity to join our Highflyers quarterly lunch and drinks hosted by an Experis Manager or Director
Monthly Team leader bonus
Annual bonus of £1,500 for our high achievers
Employee recognition local rewards for employees 'going the extra mile'. Rewards include duvet days, early finishes, extended lunches
Plus, many other flexible and additional benefits

The Team Leader will be responsible for guiding the team and is dedicated to the overall co-ordination of the end-to-end recruitment cycle. You will take ownership of facilitating all recruitment activity across a team of 5+ team members, working closely with relevant stakeholders, the account team, and the Delivery Manager for successful recruitment for the client and meeting the overall business strategy.

Manage and monitor end-to-end recruitment activity for the account; distributing roles, managing SLA's, coverage and ensuring tasks are picked up in a timely manner.
Leading daily scrum meetings to monitor roles, driving the team against SLA's and providing regular wider business updates.
Responsible for guiding the team through the day-to-day workload, ensuring you develop and mentor each individual and conduct regular Development sessions.
Leading monthly/quarterly performance reviews.
Managing and driving data integrity, quality and managing all recruitment activity via our internal CRM system.
Various Adhoc reporting tasks.
Closely monitoring SLA's and coverage, ensuring that areas of concern are addressed with speed
Champion the organisations vision and values through leading by example in operational excellence, professional behaviour and high standards of work
Training an upskilling members of the team.
Driving redeployment.

Skills/ qualifications needed

We are looking for candidates with the following skills:

The ideal candidate would have:

Must come from an IT or/and Tech background
Immaculate attention to detail, ensuring accuracy in challenging environments
Leadership experience and ability to deliver against a pre-agreed strategy
Excellent planning and organisational skills
Enjoy working within a team environment
Problem solving skills to troubleshoot any potential issues
Proactive in identifying process improvements and implementing them in a fast paced, dynamic environment

How to apply

If you're an ambitious, driven, and an adaptable person, we look forward to hearing from you

Related Jobs

View all jobs

Managing Consultant - Transport - Data Science (Basé à London)

Economist

Senior Recruiter

Data Architect

Digital Operations Manager, IT Manager, IT Support Manager

Senior Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.