It looks like pytz.FixedOffset
fits this purpose.
In [39]: df.apply(lambda x: pd.Timestamp(x['DATETIME'], tz=pytz.FixedOffset(60*x['OFFSET'])), axis=1)
Out[39]:
0 2013-01-01 00:00:00+01:00
1 2013-01-01 01:00:00+01:00
2 2013-01-01 02:00:00+01:00
3 2013-01-01 03:00:00+01:00
4 2013-01-01 04:00:00+01:00
5 2013-01-01 05:00:00+01:00
6 2013-01-01 06:00:00+02:00
7 2013-01-01 07:00:00+02:00
8 2013-01-01 08:00:00+02:00
dtype: object
Others around here use time series more than I do, so this may not be best practice.