Higher Education Statistics Agency (HESA) is looking for an experienced Lead Statistical Analyst to join our team based in Cheltenham. You will join us on a full time, permanent basis and in return, you will receive a highly competitive salary of Circa £35,000 depending on experience.

About Us:

HESA exists to enhance the competitive strength of UK higher education by collecting, analysing, and disseminating data about the UK HE sector. We provide a trusted source of information, supporting better decision making, and promoting public trust, to support this strategy.

Our strategy is delivered through our people. Ensuring that our staff have the skills, capabilities, and tools to do their jobs effectively is therefore a key theme underpinning all our activities and objectives. This includes providing opportunities for development, growth, and learning.

Responsibilities of our Lead Statistical Analyst:

- Undertaking complex analysis of HESA data for Statutory/Official Statistics products.
- Extracting, manipulating and quality-assuring appropriate and often complex data from HESA databases using advanced database query languages or data manipulation tools.
- Undertaking statistical analysis resulting in written and/or verbal reporting.
- Taking a lead role in the production of Official Statistics outputs, and contributing ideas for development of statistical measures.
- Contributing expertise and statistical advice on the automation of Official Statistics production processes through open-source software.

What we’re looking for in our Lead Statistical Analyst:

- Educated to Bachelor’s degree level in a subject containing a high proportion of statistical content, or have relevant work experience and knowledge.
- Strong quantitative data analysis skills.
- Knowledge of descriptive statistics techniques.
- Experience of analysing data for both oral or written presentations.
- Sound report writing skills.
- Experience of undertaking insightful research and analysis within a subject domain, ideally within the education field.
- Knowledge and interest in the UK HE sector is desirable, as is knowledge of Open Data principles and processes.
- Knowledge of statistical modelling, time-series analysis, inferential and/or multivariate statistics techniques.

What can we offer you as our Lead Statistical Analyst?

HESA’s bright and modern offices are right in the heart of Cheltenham, situated on the Promenade – the proximity to the shops, cafes and bars make this an attractive location and provide opportunities for socialising. The salary range for this post is circa £35,000k dependant on skills and experience. We offer an attractive package with initially 22 days leave, increasing to 27 days, plus bank holidays and extra Agency shutdown at Christmas; flexible working including remote and home working options; pension scheme and occupational health support.

Application forms should be completed via our recruitment portal; it is planned that any suitable candidates will be interviewed at the earliest possible opportunity.

If you have the skills and experience, we require for this role and are looking for a new challenge then please click ‘apply’ today to be forwarded to our on-line recruitment portal and become our new Lead Statistical Analyst.

Thank you for your interest in HESA.

No Agencies please.

Job Reference: 282-C11247

Employer:

The Royal Marsden NHS Foundation Trust

Department:

Administration

Location:

The Royal Marsden Hospital, Sutton

Salary:

£36,070 - £49,325 per annum inclusive

AI Solutions Developer

Overview

At Semantics 21, we are on a mission “to develop world-class digital forensics software to uncover, detect and connect data in complex criminal investigations”. To help us accomplish this mission, we are expanding our team. We are looking for enthusiastic AI Solutions Developers who enjoy solving problems, and acquiring new skills or expertise while producing novel technology capable of having a significant positive impact on the lives or work of law enforcement investigators and child victims of crime, and on public security. We are looking for the best who can leverage advances in artificial intelligence, together with the available best-practice in digital forensics.

About the work

Main outputs: You will work with our team of experts to create a new generation of sector-leading intelligent tools. These tools will empower investigators; boosting their ability to conduct reliable, comprehensive and fast forensics investigations of digital media artefacts — predominantly in the form of image or video data, but also audio or text data.

Your success, at the end of your first year, will be gauged by: (i) how well you would have produced at least one new AI model, to be integrated into tools for use by investigators; (ii) how effective the model(s) would be in terms of enabling investigators to make better informed decisions or recommendations which are based on deeper insights into the evidence and on more reliable information.

Key responsibilities: You will work within a team, to: research, conceive and build new AI models; evaluate the accuracy of the models; and create tools which support the deployment of the models within commercial-grade software.

Location: When required, you shall work from our main offices, located in Stafford, UK. Work from home may be permitted, subject to prior agreement with Semantics 21. If required, you will attend external meetings or other events; this may include travel overseas.

Start date: As soon as possible. You will be joining Semantics 21 at an exciting time, as we continue to propel ourselves further ahead of the curve, by producing innovative technology and products.

Employment type and remuneration: This is a full-time position. Your salary will be commensurate with skill and experience.

About you

We are looking for self-motivated individuals who:

• have hands-on experience of producing new AI models and evaluating their accuracy.
• can create tools to support the deployment of AI models.
• possess in-depth understanding of current approaches and techniques in AI (including its subsets such as machine learning, natural language processing, …) — for example: deep learning, reinforcement learning, Probabilistic Graphical Models, Bayesian networks, knowledge graphs, ...
• possess strong software engineering skills, to be deployed across the full software development life cycle, including strong object-oriented design skills.
• have solid programming experience in at least one relevant language (such as Python, Java, …) and familiarity with the associated AI or machine learning platforms or toolkits; coupled to a good knowledge of software performance optimisation techniques.
• can adapt to technology changes and can deal with ambiguity, as they arise in the context of ambitious enterprises, like ours.
• can think big, free from the shackles of conventional dogma.
• can thrive in a collaborative and collegiate work environment of a relatively young but established start-up company; with their own independence of mind to propose and shape new ideas.

For these vacancies, although a postgraduate degree will be an added advantage, we believe that experience, skills, and expertise matter the most.

About Semantics 21® Ltd

We produce innovative cutting-edge technology and embed it into solutions which address the need for advanced software in digital forensics investigations of images and videos. Our products empower investigators to

Testament to our passion for doing cutting-edge research, we were honoured with a much coveted ‘Queen’s Award for Enterprise’, in recognition for our excellence in innovation. We also won a ‘Science, Technology and Innovation Award’, which was awarded by Staffordshire Chambers of Commerce.

Our R&D team includes people from a variety of academic backgrounds, including doctorate-level education and professorial work. We are resolutely committed to the personal development and wellbeing of our internal team – we want to inspire and challenge them. We provide an exciting workplace for the ‘best of the best’ to excel in.

Apply at:https://www.semantics21.com/careers

We are building a factory for medicine discovery using artificial intelligence. By integrating biology, chemistry and AI, we want to deliver a transformation in how we discover, analyse and test drug candidates.

If you are a mission-driven individual who wants to make an impact and who believes in data and AI, get in touch!

GlamAI has a multidisciplinary team of experts in AI and chemistry. The team has won a number of awards for their research and contributions to the healthcare industry. You can review our CEO’s profile on LinkedIn here.

We have exciting growth plans, and are looking for a skilled Machine Learning Engineer to join us on our mission!

The Role:

Working alongside our machine learning, data scientists and computational chemists, you’ll develop, implement and test machine learning models for chemistry. From helping us test and advance the state-of-the-art to developing scalable ML infrastructure, performance and scalability are key to our success.

As part of the role you will:

• Deliver impactful business outcomes through the development, deployment and scaling of cutting-edge innovative DL/ML models and statistical methods at production scale
• Create models that solve chemistry problems using cutting edge methods.
• Use Google Cloud Platform and AWS to deploy, manage and secure applications and data.
• Help establish short and long term goals for our software platform, Rosalind.
• Work to maintain and improve the quality of our platform with setting best practices for testing, code review, documentation and architecture.
• Demonstrate the ability to thrive in a fast-paced, collaborative, agile environment

What We Expect:

Essential:

• Track record of developing ML within cross-functional teams.
• Hands-on experience with current machine learning toolkits, especially deep learning (e.g graph convolutional neural network, generative deep learning).
• Experience deploying and managing ML models in production
• Willing to learn about chemistry and biology in order to be more effective in your job.
• Degree in a quantitative field like statistics, applied maths, operations research and/or engineering. A Ph.D. degree is not required but preferred.
• 2+ years of industry experience in deep learning if you have a Ph.D. and 5+ years of industrial experience if you have a MSc.

Nice to have:

• Experience in ML for chemistry is not required but will help you get up to speed faster.
• An understanding of the drug discovery process.
• Experience of drug discovery data analysis, tools and packages
• Production experience with cloud platforms such as GCP and AWS.
• The ability to communicate clearly and effectively with specialists from your own and other fields.

We Offer:

• Talented, motivated and interesting co-workers.
• Intellectual challenge solving meaningful problems.
• We are still a small team so there is plenty of opportunity for a high degree of ownership over different areas of the product, and you will be directly exposed to all areas of the business.
• Your voice will always be heard. What you do or say counts.
• We are a cross-disciplinary team and come from all backgrounds and countries.
• Monthly social activities.
• Flexibility around remote working.

We believe that diversity makes for innovative, exceptional teams. GlamAI is an equal opportunity employer, committed to addressing the diversity and inclusion problem in the tech industry. That starts with making sure we have a diverse team where everyone feels at home and can contribute as an equal.

Overview of the role:
The successful candidate will join a team of analytic and marketing effectiveness consultants whose core objective is to support FMCG manufacturer and retailers with their growth plans by analysing the impact of their in-store sales and marketing activity and identifying opportunities to improve performance. Recommendations are made on our client's assortment, media, price and promotional strategies. This is achieved via insightful analysis of econometric models based on EPOS data.

IRI are looking to grow a team of data scientists to support on custom projects, internal automations and industry thought leadership. A senior data scientist will be expected to take client briefs., design solutions, create models/analysis and share results and conclusions. There will also be a portion of the role that will be looking to automate current manual processes across Analytics and wider IRI.

This is a great opportunity for someone looking to develop their career utilising the best data assets in the market to design new ways of working and cutting-edge new modelling and analytical techniques.

To be successful, this individual needs to be able to demonstrate initiative and commercial awareness as well as strong fundamental coding skills in Python/R, SQL and/or other analytical tools. As well as strong knowledge of non-linear time series regression and optimisation methods. Experience in FMCG would be hugely advantageous.

Main role responsibilities:

• Lead Advanced Analytics projects that deliver business solutions through data science with a focus on go-to-market and execution – working with different senior stakeholders and team leaders to leverage your expertise
• Identify opportunities to leverage huge and varied datasets to find a strategic advantage for our clients
• Consult with senior stakeholders to define business problems, and advise on how to apply data to solve those problems
• Design and use algorithms and build models needed to automate the generation of insights, identifying meaningful relationships across the massive sea of structured and unstructured data we have access to.
• Elevate the role of Advanced Analytics across the business while developing our internal capability
• Develop and continuously update a pipeline to enhance our existing tools to build a greater simulation, forecasting and prediction capability, giving our business and our customers confidence that we can improve returns on current execution, asset deployment and activation plans. 
• Work with wider teams to identify areas of automation, design, execute and implement these changes
• Educate leadership on the opportunities associated with applying advanced analytics, data science and AI to the business
• Build machine learning and AI algorithms to deploy on a variety of tasks
• Interpreting clients' research questions into accurate project specifications detailing project objectives, project deliverables and model parameters (products, retailers, measures, attributes etc.)
• Attending client meetings and supporting the CGD commercial consultant during the delivery of the results
• Supporting the solutions consultants in the preparation of client presentations and reports via data analysis of model outputs on various IRI analytics solutions

Skills and Experience Required:

• Insatiable desire to derive actionable recommendations from data
• Solid and demonstrable experience in data manipulation and modelling in Python/R and SQL
• Interest in or understanding of marketing strategy, and/or FMCG business/market trends
• Self-starter who can demonstrate initiative and take ownership of a new process
• Experience in applying statistical models to both back data and creating forward predictive models
• Proven track record in building and deploying machine learning and AI algorithms
• Ability to look outside of current skillset to learn new languages, tools, techniques and look for industry best practices or models (i.e. linear and non-linear regression)
• Understanding of data structures, data storage and infrastructure
• Proven track record in delivering time saving automations in business context
• Ability to present and visualise data
• Ability to work in a fast-paced environment managing multiple projects and stakeholders
• Articulate, able to proactively identify and communicate issues, taking ownership for resolution and/or escalating as appropriate
• The ability to explain complex code, steps and models to non-statistical audience
• Understanding of the technology available to enable data science teams.
  

Desirable skills and experience:

• FMCG/CPG experience
• Educated to degree level in Economics, Data science, Statistics, Mathematics or Engineering
• Knowledge of APIs, how to use and build
• Experience in geo-location mapping / drives times etc
• Web Scraping Experience / knowledge
• Familiar with techniques such as K-Means, Logistic Regression, Random Forest and Neural Networks
• Familiarity with using Loyalty/Customer data to build segmentations
• Understanding retail environment
• Define the technology infrastructure that will take our data science, advanced analytics and AI capability to the next level
• Knowledge of data visualisation platforms such as Power BI, Tableau etc
• Understanding of advertising industry and associated data feeds
• Knowledge of big data platforms, i.e. AWS, Azure, BigQuery
• Natural Language Processing

About Us

We want to help small businesses win. That’s why we’re here.

We connect small business owners to investors – to create jobs, help families and power economies – because we believe that people are made to do  more. And we want to help them.

So, we created the leading online marketplace for small business loans. Our investors have lent £8.1 billion in 110,000 loans to 77,000 small business owners. In a single year, we unlocked 115,000 jobs and contributed £6.5 billion to the global economy. There’s never been a better time to join!

Be part of the team that changes everything. Let’s build the place where small businesses can get the funding they need to win and leave a legacy behind, forever. 

This role sits within the “Risk & Analytics” team. The drivers behind our platform – brilliant people working together to create, code, and build the next game changers.

About the role
Would you describe yourself as a data fanatic? Do you have a passion for analysing data to help build the best decision models? If you answer yes to these questions then we're looking for you to apply! We are looking for a Data Scientist to help create these leading risk models. You’ll help by:

• Building the new generation of risk models
• Utilising the most innovative data sources and modelling techniques
• Being part of a diverse team of highly skilled data scientists
• Interacting with multiple parts of the business, and multiple stakeholders, to ensure your models are providing optimal support
  

About You

• You are incredibly analytical with strong mathematical skills
• Experience in a decision scientist or modeller role, ideally from a company with cutting edge technology
• Strong knowledge of R/Python
• Strong knowledge of machine learning methods
• A real team player, with the ability to work in a team (despite the current remote challenges!)
• Super communication skills, with the ability to communicate with multiple stakeholders across the business

Why join us?  

We’re gearing up for our biggest chapter yet – and it’s being driven by everyone. 

We think of ourselves as the career launchpad. A place to develop yourself, fast. Real work. Real experience. Real opportunities to collect skills. Think big remits and huge ownership to make great things happen. 

Yes, it’s target-driven and high-octane – but we like to play hard too. That’s what makes us, us. Our vibrant culture is built around potential and creating a place where you can really be you. We keep it agile and open. All voices heard. Because we believe great ideas come from everywhere. 

If you show skill and are willing, we’ll back you all the way. This is the place for you to build something incredible.

It’s in our differences that we find our strengths.

At Funding Circle, we celebrate and support the differences that make you, you. We’re proud to be an equal opportunity workplace and an affirmative action employer. We truly believe that diversity makes us better. We particularly encourage applications from applicants from underrepresented backgrounds. We welcome applicants who may want to work flexibly.
Want to Build The Incredible? We’d love to hear from you.

Tech01
#LI-LN1

Kwalee is a leading independent mobile game developer and publisher based in Leamington Spa – the UK’s biggest gaming hub outside Greater London and a great place to live – along with growing teams in Bangalore and Beijing.

Now the largest hypercasual games publisher in the UK, Kwalee is a company known globally thanks to half a billion downloads for hit mobile games including Draw it, Bake it, Shootout 3D, Rocket Sky and many more. These successes have driven rapid growth in recent years and with exciting new projects in the works for Nintendo Switch and PC alongside the studio's hypercasual specialism, Kwalee shows no signs of slowing down!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of mobile gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays. Could your idea be the next global hit?

As a Data Scientist you will help utilise masses of data generated by Kwalee players all over the world to solve complex problems using cutting edge techniques.   

What you tell your friends you do

"My models optimise the performance of Kwalee games and advertising every day!”

 What you will really be doing

• Build data solutions to solve business problems

• Use statistical testing and predictive modelling to recommend and implement changes to marketing strategy along with in game features and design

• Leverage the huge amount of data generated by our players and advertising campaigns everyday to build models and iterate existing services to improve and automate decision making across the company

• Work with the marketing, publishing and development teams to understand the problems they are facing and how to solve them

How you will be doing this

• You’ll be part of an agile, multidisciplinary and creative team and work closely with them to coordinate efforts and get the best results.

• You’ll think creatively and will be motivated by challenges and constantly striving for the best.

• You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you can get it. We even have a robot!

Team

Our talented team is our signature. We have a highly creative atmosphere with around 100 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.

• A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences
  

• 2+Years experience using Python for data analysis and visualisation and using libraries such as Tensorflow, Keras and Scikit-Learn 

• A proven track record of solving problems with data

• Knowledge of NoSQL or SQL databases like Couchbase, Elasticsearch and PostgreSQL 

• An avid interest in the development, marketing and monetisation of mobile games

Desirable

• Experience with AWS - Redshift, EC2, Lambda 

• Experience managing data projects from prototype to production tools

We offer

• You can either work remotely or in our Leamington Spa office surrounded by an amazing team!

• We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

• In addition to a competitive salary we also contribute to your pension, offer private medical cover and life assurance

• Creative Wednesdays! (Complete freedom to design and make your own games every Wednesday)

• Access to on site gym - no more skiving!

• 25 days of paid holidays plus bank holidays 

• Great work-life balance with flexible working hours

• Quarterly team building days - work hard, play hard!

• Entertainment area with consoles, pool table, tennis table and darts!

• Monthly employee awards

• Free snacks, fruit and drinks