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Who we are

BB2 Digital and Technology Services Ltd (t/a Nomo Fintech) is a cloud-based business-to-business Fintech company which owns the digital platform that powers the digital retail banking services of Bank of London and The Middle East plc (“BLME”), branded Nomo (available on iOS and Android), and provides various other services to BLME.

Nomo Fintech is currently in scale-up mode to support international digital banking across the GCC, and it’s an incredibly exciting time to join the business with great ambition and an effective combination of talent, culture, and world class technology.

Nomo Fintech leverages the support services of an intragroup entity based in Dubai which houses various functions to support Nomo Fintech’s business services.

Role Description

The role of the Data Scientist is focused on interpreting the generated data.  The Data Scientist is a person who helps to make sense of insights that were received from data engineers or business analytics to make advanced calculations to derive conclusions. As a Data Scientist, you will receive data that has passed a first round of cleaning and manipulation, which they can feed to sophisticated analytics programs and machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling. The Data Scientist will utilize the source of data and analyses to create predictive models that can be applied to business.

Responsibilities

• The data scientist will have to do the following key functions (Data exploration and visualisation, experimentation and prediction):
• Capture the sources of data and analyses them to build the best predictive models.
• Market back testing or Live simulations using the Predictive models.
• Design or utilize technologies to convert unstructured data into structure data.
• Reviewing Payments and Purchasing Habits across all customer segments.
• Evaluate a customer’s payment history and purchase history to determine Lifetime Customer Value.
• Determine and clarify the lifetime value of every customer for example using data science within an     organization to power crunch massive amounts of data to build asset management models to earn higher risk adjusted returns for their clients for example
• Utilizing data science to build Fraud Detection and Prevention models based on behaviour.
• Present and explain data to others. They must be able to communicate data to people of different skill sets, explain the importance of patterns in the data, and suggest solutions.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of our products, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Create visualisations to communicate insights to management and stakeholders across the company.
• Develop processes and tools to monitor and analyze model performance and data accuracy

• Key background: Statistics, Econometrics, Computer Science (Will have a STEM degree discipline)
• Proficiency in statistical software packages and functional programming languages such as : SQL, Tableau, SAS, Stata, SPSS, R, Python, RapidMiner, Knime, Matlab, Wolfram Mathematica and C++, or Java.
• Will have at least 2-3 years of financial services based, data analytics experience. Preferably experience within the fraud and financial crime domain, or card payments
• Will have experience working with multiple and large unstructured datasets
• Experience in an analytical role involving machine learning techniques, data extraction, analysis, and communication.
• Experience in designing and implementing machine learning algorithms tailored to specific business needs and tested on large dataset.
• Experience in data mining and using databases in a business environment with large-scale, complex datasets.
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.

• Annual Discretionary Individual Performance Bonus up to 30%
• Generous Pension Scheme (up to 20% in total)
• 30 days Annual Leave plus Bank Holidays & an option to buy/sell 5 days
• Private Healthcare and wellbeing incentives, deals and discounts with Vitality
• Dental and Mental Health Allowance
• A hybrid working environment - work from home allowance
• Choice of Tech
• Group Income Protection – Up to 75% of salary in event of long-term sickness.
• Personal Development and progression plans including £1,000 per employee per annum
• Personal Gym Membership Budget
• Annual Health Check Up
• Season ticket loan
• Cycle to work scheme
• Employee Assistance Programme – includes mortgage and pension advice
• Regular social/company events (in person and remotely)

Compass Lexecon is one of the world’s leading economic consultancy firms. Our European Practices provide economic advice on competition policy, economic and financial regulation, public policy and the assessment of damages in complex disputes. We work on some of the most high-profile cases before the European Commission, the General Court and national competition authorities, regulators and courts.

Compass Lexecon is recruiting an Intern to join the Data Science team (part of the broader Research Team). Data is a core part of every project at Compass Lexecon and turning that data into compelling empirical analysis is fundamental to what we do. With increasing amounts of data being generated and made available, there are exciting opportunities to apply tools from data science, machine learning, and data engineering to the challenging policy and competition questions that arise in our work. Some examples of the work the team has done so far include:

• Developing and deploying tools in Python to conduct geographical analysis – what is the effect on consumers if companies A and B merge but most of their stores are within 30 mins of each other?

• Conducting Natural Language Processing on competition authority decisions to analyse trends in enforcement – what topics are the authorities most concerned about, and how is this changing?

• Using network analysis on patent datasets to understand developments in innovation within an industry – who are the most important innovators within a technology, and how will this affect consumers down the line?

• Building large-scale web scrapers to construct datasets – do we and our clients have a full picture of the competitive situation in an industry?

The team aims to (a) advance our thought leadership in the industry by introducing new tools and techniques to address challenges encountered in economic consulting, bringing Compass Lexecon to the forefront of data analytics, and (b) broaden and deepen all Compass Lexecon economists’ specialist skillsets to offer our clients the most effective, creative and cutting-edge analysis and advice. In doing so, we aim to push the frontier of how data is used to shape markets in some of the world’s most important industries.

Interns join us whilst in their final year of Bachelor or Master’s degree for 2 to 6 months. Please indicate in your cover letter when you would be available to start your internship and your preferred duration. You will be based in either Berlin, Brussels, Dusseldorf, London, Madrid, Milan or Paris and work closely with other data scientists located across our European offices. 

The role:

• Working on client-facing projects, you will apply data science tools to solve real-world competition and regulatory challenges faced by businesses. Each project is different – one week you may be helping to solve a difficult data engineering challenge, the next you may be working on causal statistical models.

• Contributing to cutting-edge research projects, you will be helping develop Compass Lexecon’s thought leadership in the application of advanced analytics to competition and finance cases.

• Currently undertaking final year of Bachelor’s or Master’s degree in computer science, applied mathematics, statistics, machine learning, economics, or operations research.
• Strong analytical and problem-solving skills
• Proficiency in one or more programming languages (in particular, Python, R, and SQL)
• Keen interest in a variety of data science tools and concepts (such as machine learning, natural language processing, data infrastructure, and version control systems).
• Strong organisational and prioritisation skills
• Ability to work effectively in a collaborative environment

• Competitive salary and benefits
• A wide variety of interesting and challenging projects
• An international team with a broad range of backgrounds and experience
• A blend of professional and academic environments
• The opportunity to work with top law firms, corporations, government bodies and academics
• A steep learning curve, coupled with a supportive and collaborative team
• The opportunity to contribute from day one

Founders Factory's latest concept in the Mission Studio (backed by Nesta) is “Martee’s”.

🧐 What is the concept at high level?

What if we could change the food retail environment to make distribution easier for fresh food businesses? The ambition for this venture is to be:

A new retail channel for food producers and brands capturing real-time insights

Streamlining access into automated-retail as a distribution channel by broking between site locations, food producers and consumers

A simple way for employers or organisations to subsidise healthy food for their teams

24/7 access to an extensive range of fresh and healthy food brands for consumers

A distributed network with a national footprint in high traffic locations

Boosted through promotions, loyalty and rewards capabilities

A fully managed service, delivering tech, maintenance and stock to locations

⏰ Why now?

The new normal after lockdown has created new opportunities. More gig workers eating on the go, WFH making canteens obsolete, entrepreneurs spinning up food businesses looking to scale - Covid has changed how, where and when people eat. With this venture we can connect the dots to succeed in a new food environment. 

Many reasons to believe in the timing of the opportunity: 

Fresh food intelligent vending machines & smart fridges are operating successfully at scale in other markets

Employers seeking alternatives to a canteen with the increase in WFH

More food suppliers resulting from people spinning up new independent brands looking for new channels to reach customers

Food brands increasingly interested in this space as rents and wages increase

🍏 The Impact

This concept has the potential to shift the balance of food availability, with the potential to impact a broad cross section of society by providing better access to convenient, affordable, fresh food instead of unhealthy snacks.

💪 We are looking for a CTO/Head of Data Science who will:

• Bring an extensive knowledge of data science, forecasting and platform development to the table 
• Build our customer-facing platform and B2B data product in a user-centric way
• Have a strong product, as well as a technical, mindset to get stuck in with iterative building and learning
• Be a communicative team player,  able to co-ideate effectively with the CEO & COO
• Have a bias for scale to build, own and run the data platform underlying the business
• Work quickly, and adaptively without fear of venturing into the unknown, to push innovation boundaries
• Implement business strategies and plans that align with the short and long-term objectives developed in tandem with CEO & COO
• Have previous experience of building and growing a top-tier technical team 
• Have a strong understanding of data privacy and security best practices
• Be motivated by the mission, A Healthy Life
• Bring no ego, and be excited about working for an energetic, innovative startup

• Significant experience in technology/product leadership roles
• Experience working on data/forecasting/inventory management problems
• Having excellent leadership skills, with steadfast resolve and personal integrity
• Demonstration of a solid grasp of practical and technical challenges in fresh food supply chains
• Ability to diagnose problems quickly and foresee potential issues
• Confidence with digital / technical workflows and process
• Being a strong communicator and team player 
• Drive by purpose and the learning opportunity

• Attractive salary and equity package, to make sure you have a piece of the pie
• You will help bring a high-growth startup to life to and execute on our ambitions collaboratively 🚀
• Working directly with the co-founders, Harry (CEO) and Lucy (COO) helping shape all aspects of the business. Harry is a massive foodie with a background in digital, tech and UX, having previously founded a food startup marketplace. Lucy brings commercial and operational experience in rapid grocery and B2B SaaS, with a background in human health, nutrition and food policy
• Becoming part of the Founder's Factory entrepreneurial ecosystem & building relationships with industry leaders for life 💙
• Entering into a culture of self-development, continuous growth and radical candour 🙏
• The opportunity to build a team and create your own niche within Martee’s as we scale 👾

We are committed to building a diverse culture and are eager to receive applications from all backgrounds. All applicants will receive consideration for employment without discrimination.

Who we are

BB2 Digital and Technology Services Ltd (t/a Nomo Fintech) is a cloud-based business-to-business Fintech company which owns the digital platform that powers the digital retail banking services of Bank of London and The Middle East plc (“BLME”), branded Nomo (available on iOS and Android), and provides various other services to BLME.

Nomo Fintech is currently in scale-up mode to support international digital banking across the GCC, and it’s an incredibly exciting time to join the business with great ambition and an effective combination of talent, culture, and world class technology.

Nomo Fintech leverages the support services of an intragroup entity based in Dubai which houses various functions to support Nomo Fintech’s business services.

Role Description

The data analyst will join the team to work in conjunction with the Data scientist to identify patterns of behaviour and ensure methods of data ingestion process, component rules, scenarios, and models are working as expected. In addition to this you will analyse and report on data and metrics relating to operations and mitigations. This includes building reporting dashboards that are used at the highest levels of the business and by external regulators.

This is an excellent opportunity for someone comfortable and capable of working in a standalone capacity, to support in shaping the data strategy within the department, working closely with IT and Ops teams.

Roles and Responsibilities

• As you will expect the support a growing business needs is broad, but we hope that the following gives you an idea of the main focus of your attention:
• Managing master data, including creation, updates, and deletion.
• Managing users and user roles.
• Provide quality assurance of imported data, working with quality assurance analyst if necessary.
• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Data management and ownership: You'll be processing varied data sources including recoding/transforming data, merging and cleaning, weighting etc. to enable us to deliver exceptional data clarity to our clients. You will need to ‘own’ the data and know it inside-and-out.
• Cross-function collaboration: As the primary ‘owner’ of the valuable data we collect, you’ll need to collaborate with multiple teams
• Process improvements: Proactively identifying opportunities to improve efficiencies in these tasks and supporting the implementation of these improvements Requirements
• Strong data, reasoning and analytical skills are essential

• Key background: Statistics, Econometrics, Computer Science (Will have a STEM degree discipline)
• Key tools for data science: SQL, Tableau, SAS, SPSS, R, Python, RapidMiner, Knime, Matlab, Wolfram Mathematica.
• Will have at least 1 year of financial services based, data analytics experience. Preferably experience within the fraud and financial crime domain, or card payments
• You will be comfortable with data querying (relational databases and data lakes using SQL), data interchange (CSV, JSON etc), data analysis (such as Excel and BI tools, maybe even Access), data management and processing using at least simple Python scripts and notebooks (Pandas etc)
• Will have experience working with multiple and large unstructured datasets
• The more experience you have with data visualisation the better (but it's not a requirement of the role).
• Highly advanced analytical skills
• Communication and presentation skills
• Advanced mathematics
• Programming and Technical proficiency
• Start-up attitude – You’ll be comfortable in a rapidly changing environment, working with limited resources, and delivering high-quality work at the speed which is necessary for successful business growth. You’ll be a self-starter who doesn’t need much guidance, who can think fast on their feet and are ready to pivot when required

• Annual Discretionary Individual Performance Bonus up to 30%
• Generous Pension Scheme (up to 20% in total)
• 30 days Annual Leave plus Bank Holidays & an option to buy/sell 5 days
• Private Healthcare and wellbeing incentives, deals and discounts with Vitality
• Dental and Mental Health Allowance
• A hybrid working environment - work from home allowance
• Choice of Tech
• Group Income Protection – Up to 75% of salary in event of long-term sickness.
• Personal Development and progression plans including £1,000 per employee per annum
• Personal Gym Membership Budget
• Annual Health Check Up
• Season ticket loan
• Cycle to work scheme
• Employee Assistance Programme – includes mortgage and pension advice
• Regular social/company events (in person and remotely)