At a Glance
- Tasks: Lead data-driven projects to optimise logistics and reduce environmental impact.
- Company: AnyVan is a fast-growing tech logistics company focused on sustainability and efficiency.
- Benefits: Enjoy 25 days holiday, in-house gym, free breakfast, and performance awards.
- Other info: Work in a vibrant, inclusive culture with opportunities for growth and innovation.
- Why this job: Join a passionate team making a real difference in the logistics industry.
- Qualifications: Masters or PhD in relevant fields with experience in optimisation and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
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Moving your career forward
Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world\'s most efficient technology logistics platform and help halve the number of miles driven.
Moving your career forward
Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world\'s most efficient technology logistics platform and help halve the number of miles driven.
We\'ve achieved incredible milestones since then, including securing the largest funding round for a UK tech logistics company from Vitruvian Partners. Today, AnyVan is the largest and fastest-growing company in the logistics space, with big ambitions for the future.
We\'re committed to moving that\'s miles better and have helped over 8 million customers across the UK, Ireland and Europe (France, Germany, Italy, Spain) and over 150,000 customers have rated us excellent on Trustpilot.
By using innovative technology, we\'re transforming the moving experience, cutting costs and doing our part for the planet to make sure moving doesn\'t cost the earth. We\'ve saved enough miles to travel 1,185 times around the world, reduce 8520 tonnes of carbon annually and are proud to be the only carbon neutral removals and delivery company in the UK!!!
We\'re looking for passionate individuals to join our talented team of approx. 300 AnyVanners in our London and Cape Town offices. If you\'re as driven as we are and want to be part of a forward-thinking company to make moving \'miles better\' and moving your career forward at the same time - we\'d love to hear from you!
Our routing and optimisation team help ensure we deliver industry leading products/services for our customers and delivery partners, whilst minimising our environmental impact. There\'s a strong commercial focus on reducing cost to fulfill and driving efficiencies and scalability for AnyVan.
What You\'ll Be Doing
As a Data Scientist in our Routing and Optimisation team, you will design and develop scalable, innovative algorithms for a variety of complex decision problems and provide thought leadership in this area.
You will collaborate closely with the Head of Routing and Optimisation to conceptualise, design and develop heuristic formulas, machine learning and optimisation models. You\'ll be writing production ready code to deliver solutions, working with key stakeholders across the business including product and tech to being them to production.
What You\'ll Need To Succeed
- A masters or phd in Operations Research, Computer Science, Applied Mathematics, Machine Learning, or Statistics (or fields related to algorithms)
- Good experience in developing Optimisation or machine learning solutions in a fast paced logistics market place or management consulting companies focusing on logistics
- Excellent knowledge of some of the techniques like mixed integer programming, meta heuristics, approximate algorithms, constraint programming, machine learning, deep learning
- Experience working in domains like Procurement planning, Revenue management, Pricing, Routing and Forecasting
- Hands on experience with SQL and some programming languages (Python/Java/C++)
- Strong communication skills both spoken and Written (English) with the ability to explain complex problems simply
- A passion for data science, statistics, operations research and logistics market place business
- Understanding of agile concepts and ability to work in agile teams
- A bias to action and the capability to deliver good work quickly
- Currently located in the UK, able to commute to our offices in Hammersmith and happy to be onsite at least 3 days a week.
- Please note we are currently unable to offer visa sponsorship for this role.
- A strong alignment with our company values and able to make an impact!
- A great base salary that reflects your value
- Take a Break: 25 days of holiday plus public holidays, Christmas Eve on us and Long Term Service perks capped at 30days
- Keeping you healthy: In house gym, the opportunity to join Vitality with a hole host of wellbeing benefits and medical cover and enhanced sick pay
- Prepare for the future: The People\'s Pension with 5% employee and 3% employer contributions
- Family leave: enhanced maternity pay
- Travel: We\'re 2 mins walk from the tube, partner with Octopus Electric Vehicles and Evans Cycle to Work scheme, and have showers and towels if you cycle!
- Keeping you refreshed: Enjoy an in-house barista and free breakfast every day
- Social Scene: Thursday drinks and regular social activities
- Celebrating Success: 1/4 performance awards with prizes and an annual performance awards - last years winner enjoyed a 4 day all expenses paid trip to the French alps!
- Skills Booster: Opportunity to join a disruptive Technology Leader and be part of a fast-growing, innovative company reshaping the industry
- Have fun, get it done (work hard play hard, satisfaction in results, do the right thing)
- Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker)
- One team thinking big (Collaborate and communicate, Celebrate wins , Embrace challenges)
We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.
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#J-18808-LjbffrData Scientist - Operations Research in London employer: AnyVan
AnyVan is an exceptional employer, offering a vibrant work culture in Hammersmith, where innovation meets sustainability. With a strong commitment to employee growth, we provide opportunities for professional development alongside competitive benefits such as 25 days of holiday, enhanced maternity pay, and wellness initiatives. Join our dynamic team and contribute to reshaping the logistics industry while enjoying a supportive environment that values collaboration and celebrates success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Operations Research in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AnyVan!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AnyVan.
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We think you need these skills to ace Data Scientist - Operations Research in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AnyVan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AnyVan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AnyVan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AnyVan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
