Find your next tech and IT Job or contract role.

Job Description Senior Data Scientist PhD - Canary Wharf We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as Data Scientist. Must have a PhD ideally in Maths or Physics and an excellent understanding of data analytics. The Client would also like to see experience of managing and leading a team of Data Scientists. Should have experience of SCALA/SPARK and Hadoop. Initially this is a 3 month contract assignment in Canary Wharf - with likelihood that it will go on beyond that point. Location is Canary Wharf London. Please send your CV to us in Word format along with daily rate.

Job Description Senior Data Scientist PhD - Canary Wharf We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as Data Scientist. Must have a PhD ideally in Maths or Physics and an excellent understanding of data analytics. The Client would also like to see experience of managing and leading a team of Data Scientists. Should have experience of SCALA/SPARK and Hadoop. Initially this is a 3 month contract assignment in Canary Wharf - with likelihood that it will go on beyond that point. Location is Canary Wharf London. Please send your CV to us in Word format along with daily rate.

Job Description Senior Data Scientist PhD - Canary Wharf We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as Data Scientist. Must have a PhD ideally in Maths or Physics and an excellent understanding of data analytics. The Client would also like to see experience of managing and leading a team of Data Scientists. Should have experience of SCALA/SPARK and Hadoop. Initially this is a 3 month contract assignment in Canary Wharf - with likelihood that it will go on beyond that point. Location is Canary Wharf London. Please send your CV to us in Word format along with daily rate.

Job Description Business Analyst with Actimize WLF - Canary Wharf London Our Client is seeking to recruit a Business Analyst with at least 5 years experience as a BA coupled with at least 2 years experience of Nice Actimize. - Analyzing current installation of Actimize WLF solution at a client side - Recommend improvements on data ingestion and batch process performance - Recommend optimal Threshold setting and Scoring configuration which adhere to the client requirements - Improve detection and alert generation Must Have: - Minimum 2 years experience supporting Nice Actimize WLF solution either as a BA or Implementor. - In particular an ideal candidate must have a hands-on experience in doing WLF Tuning activity. - Deep understanding in Actimize platform and tools, WLF Threshold and Scoring and working knowledge of RCM. - Proven track records in analyzing client's requirements and come up with - Comfortable in dealing with Stake Holders especially face-to-face with clients. - Must be willing to travel to client site. Nice to have - Experience in DowJones Sanctioned List and Profile data ingestion to WLF The position will be based in Canary Wharf London. Rate will be in the range £275 to £375 per day depending on experience. This is a 6 month contract assignment. Please send your CV to us in Word format along with your daily rate in GBP and your availability.

Job Description Data Analyst with Big Data - Canary Wharf Our Client is seeking a Data Analyst for the Data Products team is driving innovations in the Financial Services Sector using Big Data. The Client has a high-calibre, focused and a mission-driven team. The models we build and the analysis that we derive from financial data matters to crucial cutting-edge business decisions made across the global financial services firms every day and provides insight into real world problems. In this role, you will gain a deep understanding of income and expense transactions, financial classifications, and long term financial management within the UK market. You will participate in customer and partner calls to review requirements and client needs. You will quickly gain an understanding how local income and expense calculations, and financial management best practices can be leveraged to deliver financial wellness tools in the UK market. This role will allow you to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction types. You will also interact closely with the Financial Product team to provide requirements to localize the financial management tools for the UK market. You will perform regular and ongoing analysis on consumer transactions to identify methods for improved categorization, testing and certifying enhancements, and validating performance metrics. You will also work with the Financial Wellness Product team to adapt their products for the UK market. This requires you to develop a deep understanding of the UK financial management space in order to develop an ongoing UK roadmap with the rest of the Financial product team. Must have a Bachelor's Degree coupled with 2 - 4 years of experience in software-oriented Product Management, preferably in financial services. Experience in financial modelling and possessing knowledge of the financial services and transactions. Experience/Interest in analysing data and a high attention to detail especially in regards to data cleansing You possess superb written & oral communication skills. You have analytical skills with a background in financial analysis and carefully seek to understand underlying business needs, both on a market level as well as from individual client/prospects. You are adaptable and can work successfully in a technical environment as a non-technical leader. The ideal candidate is inquisitive and highly detail oriented. You are focused on execution and are able to make definitive decisions in uncertain environments with limited data. This is a 3 month contract assignment initially. Please send your CV to us in Word format along with your daily rate and availability.